214 lines
178 KiB
JSON
214 lines
178 KiB
JSON
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 4:32 PM (UTC+8)</timestamp>\n<user_query>\n我现在有5台服务器，需要搭建监控系统。监控服务器、redis、MySQL、rabbitmq，以及一些自定义的业务指标。目前redis、MySQL、rabbitmq是容器安装的\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"tool_use","name":"SwitchMode","input":{"target_mode_id":"plan","explanation":"这是一个涉及监控架构、采集方式、告警和容器环境适配的方案设计问题，先用计划模式把方案和取舍定下来更合适。"}}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"可以搭一套以 **Prometheus + Grafana + Alertmanager** 为核心的监控系统，比较适合你现在这种 5 台服务器、部分中间件容器化、还要接业务指标的场景。\n\n推荐架构：\n\n```text\n5台业务服务器\n ├─ node_exporter 服务器 CPU/内存/磁盘/网络\n ├─ redis_exporter Redis 指标\n ├─ mysqld_exporter MySQL 指标\n ├─ rabbitmq_exporter RabbitMQ 指标\n └─ 业务服务 /metrics 自定义业务指标\n\n监控服务器\n ├─ Prometheus 拉取和存储指标\n ├─ Grafana 展示看板\n ├─ Alertmanager 告警通知\n └─ 可选 Loki 日志系统\n```\n\n建议你这样落地：\n\n1. **选一台作为监控服务器**\n - 部署 `prometheus`\n - 部署 `grafana`\n - 部署 `alertmanager`\n - 建议也用 Docker Compose 管理\n\n2. **每台服务器安装 `node_exporter`**\n - 采集 CPU、内存、磁盘、网络、负载、文件系统等基础指标\n - 这是服务器监控的基础\n\n3. **Redis / MySQL / RabbitMQ 使用 exporter**\n - Redis：`redis_exporter`\n - MySQL：`mysqld_exporter`\n - RabbitMQ：可以用 RabbitMQ 自带 Prometheus 插件，或者单独 exporter\n - 因为你这些服务是容器安装，exporter 也建议容器化部署，和对应服务在同一台机器上即可\n\n4. **业务指标建议直接暴露 `/metrics`**\n - 如果你的业务服务是 Java / Go / Node.js / Python，都可以接 Prometheus client\n - 指标格式建议用 Prometheus 原生格式\n - 比如：\n - 订单数量\n - 接口耗时\n - 队列积压\n - 任务失败次数\n - 第三方接口错误率\n - 用户登录数\n\n5. **告警建议先做基础项**\n - 服务器 CPU > 80%\n - 内存 > 85%\n - 磁盘 > 80%\n - Redis 内存使用过高\n - MySQL 连接数过高\n - MySQL 慢查询增多\n - RabbitMQ 队列积压\n - 服务接口错误率升高\n - 业务关键指标异常\n\n最小可用方案：\n\n```text\nPrometheus + Grafana + Alertmanager\nnode_exporter + redis_exporter + mysqld_exporter + rabbitmq_prometheus\n```\n\n如果你还想监控日志，再加：\n\n```text\nLoki + Promtail\n```\n\n如果你的服务之后会扩到很多台，再考虑：\n\n```text\nVictoriaMetrics / Thanos\n```\n\n但 5 台服务器目前没必要一开始就上复杂方案。\n\n我建议第一阶段先搭 **指标监控 + Grafana 看板 + 告警**，日志和链路追踪可以第二阶段再加。"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 4:38 PM (UTC+8)</timestamp>\n<user_query>\n使用docker-compose.yml的方式安装 Prometheus + Grafana + Alertmanager 帮我创建这个文件并写入\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"我会先看一下项目里是否已有 `docker-compose.yml` 或相关监控配置，避免覆盖现有文件；如果没有，就在工作区根目录创建一份 Prometheus、Grafana、Alertmanager 的 Compose 配置。\n\n**Working on docker-compose**\n\nI need to create a docker-compose.yml file for the workspace, and it's probably a good idea to inspect first. I think I should ask the user for updates before proceeding with the work. It might also help to list the parent directory before I create it through the shell. For file operations, using ApplyPatch seems fitting. I should verify the workspace, maybe using Glob, and check if there's an existing docker-compose file as well."},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"docker-compose*.yml"}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"*.yaml"}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"prometheus*.yml"}}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"没有发现现有 Compose 或 Prometheus 配置。我会创建一份单文件可启动的 `docker-compose.yml`，把 Prometheus 和 Alertmanager 的基础配置内嵌进去，后续你只需要补 5 台服务器和各 exporter 的地址。\n\n**Creating docker-compose.yml**\n\nI need to create a file, but it seems like the Prometheus setup requires config files too. The user specifically asked about the docker-compose.yml. If I create this, should I also include directories for the configs? It seems like configs might need to be bind-mounted, or maybe I could manage with inline configs instead. I’ll look into whether Docker Compose supports config content and how to set up the necessary mounting for Prometheus and Alertmanager configurations. My approach should be robust to ensure everything works properly.\n**Setting up configs and targets**\n\nI've been thinking about using configs for the setup, focusing on source and target aspects, alongside the Grafana environment. I wonder if I should include sample static configs for localhost, even though Prometheus in a container can't access the host localhost. Including something like \"host.docker.internal\" for Linux might help, as it doesn't resolve natively. The user will fill in IPs for servers, and I can add comments in the Compose YAML for clarity. For the Alertmanager, I might keep things simple with a default receiver, even if it means no notifications initially.\n**Considering webhook URL**\n\nI’m thinking about using the webhook URL `http://127.0.0.1:5001/`, but I realize it would fail when sending, even though the config itself would be valid. It seems better to go with an empty receiver instead. I also need to focus on editing or creating the file, and applying the necessary patches to make sure everything works smoothly. It's important to get these details right for the user's setup."},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n+services:\n+ prometheus:\n+ image: prom/prometheus:latest\n+ container_name: monitor-prometheus\n+ restart: unless-stopped\n+ ports:\n+ - \"9090:9090\"\n+ command:\n+ - \"--config.file=/etc/prometheus/prometheus.yml\"\n+ - \"--storage.tsdb.path=/prometheus\"\n+ - \"--storage.tsdb.retention.time=30d\"\n+ - \"--web.enable-lifecycle\"\n+ configs:\n+ - source: prometheus_config\n+ target: /etc/prometheus/prometheus.yml\n+ volumes:\n+ - prometheus_data:/prometheus\n+ depends_on:\n+ - alertmanager\n+ networks:\n+ - monitor\n+\n+ grafana:\n+ image: grafana/grafana:latest\n+ container_name: monitor-grafana\n+ restart: unless-stopped\n+ ports:\n+ - \"3000:3000\"\n+ environment:\n+ GF_SECURITY_ADMIN_USER: admin\n+ GF_SECURITY_ADMIN_PASSWORD: admin123456\n+ GF_USERS_ALLOW_SIGN_UP: \"false\"\n+ GF_SERVER_ROOT_URL: http://localhost:3000\n+ volumes:\n+ - grafana_data:/var/lib/grafana\n+ depends_on:\n+ - prometheus\n+ networks:\n+ - monitor\n+\n+ alertmanager:\n+ image: prom/alertmanager:latest\n+ container_name: monitor-alertmanager\n+ restart: unless-stopped\n+ ports:\n+ - \"9093:9093\"\n+ command:\n+ - \"--config.file=/etc/alertmanager/alertmanager.yml\"\n+ - \"--storage.path=/alertmanager\"\n+ configs:\n+ - source: alertmanager_config\n+ target: /etc/alertmanager/alertmanager.yml\n+ volumes:\n+ - alertmanager_data:/alertmanager\n+ networks:\n+ - monitor\n+\n+configs:\n+ prometheus_config:\n+ content: |\n+ global:\n+ scrape_interval: 15s\n+ evaluation_interval: 15s\n+\n+ alerting:\n+ alertmanagers:\n+ - static_configs:\n+ - targets:\n+ - alertmanager:9093\n+\n+ scrape_configs:\n+ - job_name: prometheus\n+ static_configs:\n+ - targets:\n+ - prometheus:9090\n+\n+ - job_name: alertmanager\n+ static_configs:\n+ - targets:\n+ - alertmanager:9093\n+\n+ # 每台服务器安装 node_exporter 后，把 IP 和端口补到这里。\n+ # - job_name: node\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:9100\n+ # - 192.168.1.12:9100\n+ # - 192.168.1.13:9100\n+ # - 192.168.1.14:9100\n+ # - 192.168.1.15:9100\n+\n+ # Redis exporter 示例。\n+ # - job_name: redis\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:9121\n+\n+ # MySQL exporter 示例。\n+ # - job_name: mysql\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:9104\n+\n+ # RabbitMQ 开启 prometheus 插件后，默认指标路径通常是 /metrics。\n+ # - job_name: rabbitmq\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:15692\n+\n+ # 自定义业务指标示例，业务服务需要暴露 /metrics。\n+ # - job_name: business\n+ # metrics_path: /metrics\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:8080\n+\n+ alertmanager_config:\n+ content: |\n+ global:\n+ resolve_timeout: 5m\n+\n+ route:\n+ group_by:\n+ - alertname\n+ group_wait: 30s\n+ group_interval: 5m\n+ repeat_interval: 4h\n+ receiver: default\n+\n+ receivers:\n+ - name: default\n+\n+volumes:\n+ prometheus_data:\n+ grafana_data:\n+ alertmanager_data:\n+\n+networks:\n+ monitor:\n+ driver: bridge\n*** End Patch\n"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"文件已创建。接下来我会用 `docker compose config` 做一次语法校验，确认 Compose 文件能被 Docker 正常解析。"},{"type":"tool_use","name":"Shell","input":{"command":"ls \"/Users/ray/.cursor/projects/Users-ray-Documents-project-www-slot-monitor/terminals\"","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"List existing IDE terminal metadata"}}]}}
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{"role":"assistant","message":{"content":[{"type":"tool_use","name":"Shell","input":{"command":"docker compose -f \"docker-compose.yml\" config","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Docker Compose configuration","block_until_ms":30000}}]}}
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{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"]}}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"已创建并写入 `docker-compose.yml`，包含：\n\n- `Prometheus`：端口 `9090`\n- `Grafana`：端口 `3000`\n- `Alertmanager`：端口 `9093`\n- Prometheus 和 Alertmanager 基础配置已内嵌在 Compose 文件里\n- 已预留 `node_exporter`、`redis_exporter`、`mysqld_exporter`、`rabbitmq`、业务 `/metrics` 的配置示例\n\n我也执行了语法校验：\n\n```bash\ndocker compose -f docker-compose.yml config\n```\n\n校验通过。启动命令：\n\n```bash\ndocker compose up -d\n```\n\nGrafana 默认账号密码是：\n\n```text\nadmin / admin123456\n```"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 4:44 PM (UTC+8)</timestamp>\n<user_query>\ngrafana GF_SERVER_ROOT_URL: http://localhost:3000 为什么是localhost:3000， 我外部怎么访问呢？\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"`GF_SERVER_ROOT_URL: http://localhost:3000` 只是 Grafana 生成链接时使用的“外部访问地址”，不是监听地址。\n\n你现在 Compose 里已经有：\n\n```yaml\nports:\n - \"3000:3000\"\n```\n\n所以外部访问应该用 **监控服务器的 IP 或域名**：\n\n```text\nhttp://监控服务器IP:3000\n```\n\n比如：\n\n```text\nhttp://192.168.1.10:3000\n```\n\n建议把这里改成你的真实访问地址：\n\n```yaml\nGF_SERVER_ROOT_URL: http://192.168.1.10:3000\n```\n\n如果你后面用域名和 Nginx 反代，比如：\n\n```text\nhttps://grafana.example.com\n```\n\n那就改成：\n\n```yaml\nGF_SERVER_ROOT_URL: https://grafana.example.com\n```\n\n简单说：`localhost` 只适合你在部署 Grafana 的那台服务器本机浏览器访问。其他电脑访问时，要用服务器 IP、域名，或者反向代理地址。"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 4:46 PM (UTC+8)</timestamp>\n<user_query>\nGF_SERVER_ROOT_URL 这个配置成可以外部访问的地址对吗？\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"对，`GF_SERVER_ROOT_URL` 应该配置成 **用户实际访问 Grafana 的外部地址**。\n\n比如你直接用服务器 IP 访问：\n\n```yaml\nGF_SERVER_ROOT_URL: http://你的服务器IP:3000\n```\n\n如果用域名访问：\n\n```yaml\nGF_SERVER_ROOT_URL: https://grafana.example.com\n```\n\n如果通过 Nginx 反代到子路径：\n\n```yaml\nGF_SERVER_ROOT_URL: https://example.com/grafana/\nGF_SERVER_SERVE_FROM_SUB_PATH: \"true\"\n```\n\n它主要影响 Grafana 生成跳转链接、告警链接、静态资源路径、OAuth 回调等。`ports: \"3000:3000\"` 才是实际开放端口。"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 4:47 PM (UTC+8)</timestamp>\n<user_query>\n宿主服务器安装了 openresty，怎么配置反向代理到这个呢\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"可以在宿主机的 OpenResty 里加一个 `server`，反向代理到 Grafana 容器暴露出来的 `127.0.0.1:3000`。\n\n推荐用独立域名方式，比如 `grafana.example.com`：\n\n```nginx\nserver {\n listen 80;\n server_name grafana.example.com;\n\n location / {\n proxy_pass http://127.0.0.1:3000;\n\n proxy_http_version 1.1;\n proxy_set_header Host $host;\n proxy_set_header X-Real-IP $remote_addr;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_set_header X-Forwarded-Proto $scheme;\n\n # Grafana Live / WebSocket 需要\n proxy_set_header Upgrade $http_upgrade;\n proxy_set_header Connection \"upgrade\";\n }\n}\n```\n\n然后 `docker-compose.yml` 里建议改成：\n\n```yaml\nGF_SERVER_ROOT_URL: http://grafana.example.com\n```\n\n如果你准备用 HTTPS：\n\n```yaml\nGF_SERVER_ROOT_URL: https://grafana.example.com\n```\n\n并且 OpenResty 配置监听 `443 ssl`。\n\n如果你不想让别人绕过 OpenResty 直接访问 `3000`，可以把 Compose 端口改成只绑定本机：\n\n```yaml\nports:\n - \"127.0.0.1:3000:3000\"\n```\n\n这样外部只能通过 OpenResty 访问，不能直接访问 `http://服务器IP:3000`。"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 4:58 PM (UTC+8)</timestamp>\n<user_query>\n我用的是AWS服务器，你推荐哪款配置\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"你现在是 **5 台服务器 + Prometheus + Grafana + Alertmanager + Redis/MySQL/RabbitMQ/业务指标**，监控服务器建议单独用一台 AWS EC2。\n\n我推荐：\n\n```text\n首选：t3.medium 或 t4g.medium\n配置：2 vCPU / 4GB 内存\n磁盘：50GB gp3 起步\n```\n\n如果指标量不大，比如只监控基础主机、中间件和少量业务指标，`t3.medium` 足够。\n\n更稳一点：\n\n```text\n推荐生产配置：t3.large 或 t4g.large\n配置：2 vCPU / 8GB 内存\n磁盘：100GB gp3\n```\n\n我个人更建议你选：\n\n```text\nt3.large + 100GB gp3\n```\n\n原因是 Prometheus 比较吃内存和磁盘，后面你加业务指标、告警规则、Grafana 看板后，`4GB` 可能会偏紧。\n\n如果你的系统是 x86 镜像：\n\n```text\nt3.large\n```\n\n如果你愿意用 ARM，性价比更好：\n\n```text\nt4g.large\n```\n\n但要确认你用的镜像和 Docker 镜像都支持 ARM。Prometheus、Grafana、Alertmanager 官方镜像是支持的。\n\n简单建议：\n\n```text\n测试/低成本：t3.medium + 50GB gp3\n正式生产：t3.large + 100GB gp3\n更高性价比：t4g.large + 100GB gp3\n```\n\n安全组开放建议：\n\n```text\n80/443 给 OpenResty 外部访问\n22 SSH，只允许你的固定 IP\n9090 Prometheus，不建议公网开放\n9093 Alertmanager，不建议公网开放\n3000 Grafana，如果走 OpenResty，也不建议公网开放\n```\n\n如果用 OpenResty 反代 Grafana，`3000` 最好只监听本机：\n\n```yaml\nports:\n - \"127.0.0.1:3000:3000\"\n```"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 5:00 PM (UTC+8)</timestamp>\n<user_query>\n我是企业生产应用\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"企业生产应用的话，建议不要按“刚好够用”来配，监控系统本身要留余量。\n\n我推荐你用：\n\n```text\nEC2：t3.large 或 m7i.large\nCPU：2 vCPU\n内存：8GB\n磁盘：100GB - 200GB gp3\n```\n\n更稳的生产配置：\n\n```text\nEC2：m7i.large\n磁盘：200GB gp3\n```\n\n原因：\n\n- `t3.large` 是突发型实例，便宜，但长期高负载时依赖 CPU Credit\n- `m7i.large` 是通用型固定性能，更适合企业生产长期运行\n- Prometheus 本地存储会持续增长，磁盘建议不要太小\n- Grafana、Alertmanager 本身不重，主要资源压力在 Prometheus\n\n我的建议：\n\n```text\n预算敏感：t3.large + 100GB gp3\n常规生产：m7i.large + 200GB gp3\n指标较多：m7i.xlarge + 300GB gp3\n```\n\n如果是我给企业生产环境选，5 台服务器规模我会先上：\n\n```text\nm7i.large + 200GB gp3\n```\n\n然后设置 Prometheus 保留时间：\n\n```yaml\n--storage.tsdb.retention.time=30d\n```\n\n你现在的 `docker-compose.yml` 里已经是 30 天保留。后面如果业务指标很多，可以改成 15 天，或者接远程存储。"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 5:02 PM (UTC+8)</timestamp>\n<user_query>\n我打算用4核16G，500GB sp3 如何？\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"这个配置很好，甚至比你当前 5 台服务器规模的基础监控需求更充裕，适合企业生产：\n\n```text\n4 vCPU / 16GB 内存 / 500GB gp3\n```\n\n小修正一下：AWS EBS 是 **gp3**，不是 `sp3`。\n\n这个配置的好处：\n\n- `16GB` 内存对 Prometheus 比较友好，后续加业务指标、更多 exporter、更多 Grafana 看板也有余量\n- `500GB gp3` 可以支撑更长保留时间或更高指标量\n- `4 vCPU` 对 Prometheus 查询、规则计算、Grafana 看板刷新更稳\n- 未来从 5 台扩到十几台也还能用一段时间\n\n建议实例类型：\n\n```text\nm7i.xlarge 4 vCPU / 16GB，x86，生产推荐\nm6i.xlarge 4 vCPU / 16GB，x86，也可以\nt3.xlarge 4 vCPU / 16GB，预算敏感可用，但不如 m 系列稳\nt4g.xlarge 4 vCPU / 16GB，ARM，性价比高\n```\n\n企业生产我更推荐：\n\n```text\nm7i.xlarge + 500GB gp3\n```\n\nPrometheus 保留时间可以先设：\n\n```yaml\n--storage.tsdb.retention.time=60d\n```\n\n但如果你的业务指标很多，建议还是先保持 `30d`，跑一两周后看磁盘增长速度，再决定是否调到 `60d` 或 `90d`。"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 5:44 PM (UTC+8)</timestamp>\n<user_query>\n我现在的域名是 monitor.tpm8.com\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"既然域名已经确定为 `monitor.tpm8.com`，我会把 Grafana 的外部地址改成这个域名，并建议端口只绑定本机，方便通过 OpenResty 统一反代访问。\n\n**Considering file updates**\n\nI’m thinking about how to handle the user's mention of a domain. They haven't asked directly, but it seems like they might want to configure the `GF_SERVER_ROOT_URL` and openresty. It could make sense to edit the `docker-compose` file in this context. Reading the file first is essential, and I might want to provide some commentary before making any changes. I could also follow up to confirm their intentions."},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","offset":1,"limit":60}}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"我会把 `GF_SERVER_ROOT_URL` 改成 `https://monitor.tpm8.com`，并把 Grafana 的 `3000` 端口限制为宿主机本地访问，避免公网绕过 OpenResty 直连。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n grafana:\n image: grafana/grafana:latest\n container_name: monitor-grafana\n restart: unless-stopped\n ports:\n- - \"3000:3000\"\n+ - \"127.0.0.1:3000:3000\"\n environment:\n GF_SECURITY_ADMIN_USER: admin\n GF_SECURITY_ADMIN_PASSWORD: admin123456\n GF_USERS_ALLOW_SIGN_UP: \"false\"\n- GF_SERVER_ROOT_URL: http://localhost:3000\n+ GF_SERVER_ROOT_URL: https://monitor.tpm8.com\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n- ports:\n- - \"3000:3000\"\n+ ports:\n+ - \"127.0.0.1:3000:3000\"\n@@\n- GF_SERVER_ROOT_URL: http://localhost:3000\n+ GF_SERVER_ROOT_URL: https://monitor.tpm8.com\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","offset":23,"limit":15}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"配置已经变更到文件里了。我再做一次 Compose 语法校验，然后给你对应的 OpenResty 配置。\n\n**Validating configuration setup**\n\nIt seems like there was a success despite some errors. I need to check the OpenResty config and possibly run the Docker Compose. I'll validate that first. Should I check the terminals? The commands seem short, and it looks like the terminal folder might be missing. Maybe it’s not necessary to access it. I think I’ll use Shell to proceed. Let's sort this out!"},{"type":"tool_use","name":"Shell","input":{"command":"docker compose -f \"docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate updated Compose file","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"已把 `docker-compose.yml` 里的 Grafana 改成：\n\n```yaml\nports:\n - \"127.0.0.1:3000:3000\"\n\nGF_SERVER_ROOT_URL: https://monitor.tpm8.com\n```\n\n这样 Grafana 容器只允许宿主机本地访问 `3000`，公网用户只能通过 OpenResty 访问 `https://monitor.tpm8.com`。\n\nOpenResty 可以这样配：\n\n```nginx\nserver {\n listen 80;\n server_name monitor.tpm8.com;\n\n location / {\n proxy_pass http://127.0.0.1:3000;\n\n proxy_http_version 1.1;\n proxy_set_header Host $host;\n proxy_set_header X-Real-IP $remote_addr;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_set_header X-Forwarded-Proto $scheme;\n\n proxy_set_header Upgrade $http_upgrade;\n proxy_set_header Connection \"upgrade\";\n }\n}\n```\n\n如果你已经配置了 HTTPS，就把 `listen 443 ssl;` 加到对应证书配置里，反代目标仍然是：\n\n```text\nhttp://127.0.0.1:3000\n```\n\n我也校验过 `docker compose config`，配置语法没问题。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 5:46 PM (UTC+8)</timestamp>\n<user_query>\n你现在的密码是不是太简单了？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"是的，`admin123456` 不适合生产环境。我会把它改成通过环境变量注入，避免把真实密码写死在 Compose 文件里。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","offset":23,"limit":15}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n environment:\n GF_SECURITY_ADMIN_USER: admin\n- GF_SECURITY_ADMIN_PASSWORD: admin123456\n+ GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?please set GRAFANA_ADMIN_PASSWORD}\n GF_USERS_ALLOW_SIGN_UP: \"false\"\n GF_SERVER_ROOT_URL: https://monitor.tpm8.com\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会再创建一个 `.env.example`，给你留一个安全的配置模板；真实 `.env` 需要你在服务器上自己创建，不把密码提交或写进 Compose。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/.env.example\n+# Copy this file to .env and replace the value before starting Grafana.\n+GRAFANA_ADMIN_PASSWORD=change-me-to-a-long-random-password\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/env.example\n+# Copy this file to .env and replace the value before starting Grafana.\n+GRAFANA_ADMIN_PASSWORD=change-me-to-a-long-random-password\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Compose with required password","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/env.example"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"对，`admin123456` 对生产环境太简单了。我已经改成必须从环境变量读取：\n\n```yaml\nGF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?please set GRAFANA_ADMIN_PASSWORD}\n```\n\n同时加了 `env.example` 模板。你在服务器上创建 `.env`：\n\n```bash\nGRAFANA_ADMIN_PASSWORD='一串足够长的随机密码'\n```\n\n然后启动：\n\n```bash\ndocker compose up -d\n```\n\n我也用临时密码校验过 Compose 语法，没问题。建议密码至少 20 位以上，包含大小写、数字和特殊字符。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 7:59 PM (UTC+8)</timestamp>\n<user_query>\n\"\"\"volumes:\n prometheus_data:\n grafana_data:\n alertmanager_data:\"\"\" 这个是什么意思？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这是 Docker Compose 里的 **命名数据卷**，用于持久化容器数据。\n\n```yaml\nvolumes:\n prometheus_data:\n grafana_data:\n alertmanager_data:\n```\n\n意思是声明 3 个由 Docker 管理的数据卷：\n\n- `prometheus_data`：保存 Prometheus 采集到的监控指标数据\n- `grafana_data`：保存 Grafana 的账号、数据源、仪表盘、插件等配置\n- `alertmanager_data`：保存 Alertmanager 的运行数据，比如告警静默状态\n\n前面服务里有用到它们：\n\n```yaml\nvolumes:\n - prometheus_data:/prometheus\n```\n\n这表示把 Docker 数据卷 `prometheus_data` 挂载到容器内的 `/prometheus` 目录。\n\n好处是：即使容器删除重建，数据也还在。比如你执行：\n\n```bash\ndocker compose down\ndocker compose up -d\n```\n\nGrafana 的看板、Prometheus 的历史数据不会丢。\n\n但如果执行：\n\n```bash\ndocker compose down -v\n```\n\n`-v` 会删除这些数据卷，监控数据和 Grafana 配置就会被删掉。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:00 PM (UTC+8)</timestamp>\n<user_query>\n那数据在宿主机那个位置呢？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这种写法是 **Docker 命名卷**，数据通常在宿主机这里：\n\n```text\n/var/lib/docker/volumes/\n```\n\n对应大概是：\n\n```text\n/var/lib/docker/volumes/monitor_prometheus_data/_data\n/var/lib/docker/volumes/monitor_grafana_data/_data\n/var/lib/docker/volumes/monitor_alertmanager_data/_data\n```\n\n其中 `monitor_` 是 Compose 项目名前缀，可能会根据你启动目录名变化。\n\n你可以用命令确认实际位置：\n\n```bash\ndocker volume ls\n```\n\n然后查看某个卷详情：\n\n```bash\ndocker volume inspect monitor_prometheus_data\n```\n\n里面的 `Mountpoint` 就是真实宿主机路径。\n\n例如：\n\n```bash\ndocker volume inspect monitor_prometheus_data --format '{{ .Mountpoint }}'\n```\n\n如果你希望数据明确放到指定目录，比如 `/data/monitor/prometheus`，那就不要用命名卷，可以改成绑定挂载：\n\n```yaml\nvolumes:\n - /data/monitor/prometheus:/prometheus\n```\n\n生产环境我更推荐显式放到 `/data/monitor/`，这样备份、迁移、扩容时更直观。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:08 PM (UTC+8)</timestamp>\n<user_query>\n按企业生产标准给我弄\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把当前配置按生产习惯收敛一下：固定镜像版本、数据落到明确的 `/data/monitor` 目录、只让 OpenResty 访问 Web 端口、补健康检查和基础运行参数，并清理环境变量模板命名。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"*.example"}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":".env*"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把内嵌配置拆成独立配置文件，生产环境更容易审计、备份和变更；Compose 只负责容器编排，Prometheus 和 Alertmanager 配置放到 `config/` 下。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/.env.example"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/env.example"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"Shell","input":{"command":"ls \"/Users/ray/Documents/project/www/slot/monitor\" && mkdir -p \"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/rules\" \"/Users/ray/Documents/project/www/slot/monitor/config/alertmanager\"","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Create monitoring config directories","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会同时把 Prometheus、Alertmanager 的端口也限制到本机，避免公网暴露管理接口；数据目录会改为 `/data/monitor/...`，后续备份和迁移更清楚。\n\n**Considering file operations**\n\nI'm exploring how `ls` didn't show `.env.example` unless I used `-a`. I need to add or update files and consider rewriting my `docker-compose`. Maybe I should use `cat`? It seems like I should use `ApplyPatch` to update the file from start to end, rather than deleting and adding files, which feels risky. I want to incorporate healthchecks too, especially with Prometheus. I’m not sure if `wget` is in the `prom` image, so I should find the best method for healthchecks.\n**Examining Prometheus setup**\n\nI’m thinking about the `prom/prometheus` image and whether it’s based on `busybox` or static. The entry point is `/bin/prometheus`, but I’m not certain if it has a shell. Healthchecks using `wget` could fail if it’s absent. Although healthchecks are a production standard, they might be unreliable. I wonder if the Grafana image has `wget`, but it’s essential to be cautious. I could use `promtool` or create healthchecks with `CMD-SHELL` using `wget --spider`. If Prometheus has `wget`, I could set up a healthcheck, but I need to ensure it’s done correctly.\n**Recalling permissions for Grafana and Prometheus**\n\nI need to remember the permissions, specifically that Grafana has a UID of 472 and Prometheus likely runs as the `nobody` user. I should find the right instructions on managing these permissions. I’m curious if the user can compose or modify this setup, especially since it seems like Prometheus might need to run under `nobody`. It's important to ensure everything has the appropriate permissions for both applications to function correctly."},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n-services:\n- prometheus:\n- image: prom/prometheus:latest\n- container_name: monitor-prometheus\n- restart: unless-stopped\n- ports:\n- - \"9090:9090\"\n- command:\n- - \"--config.file=/etc/prometheus/prometheus.yml\"\n- - \"--storage.tsdb.path=/prometheus\"\n- - \"--storage.tsdb.retention.time=30d\"\n- - \"--web.enable-lifecycle\"\n- configs:\n- - source: prometheus_config\n- target: /etc/prometheus/prometheus.yml\n- volumes:\n- - prometheus_data:/prometheus\n- depends_on:\n- - alertmanager\n- networks:\n- - monitor\n-\n- grafana:\n- image: grafana/grafana:latest\n- container_name: monitor-grafana\n- restart: unless-stopped\n- ports:\n- - \"127.0.0.1:3000:3000\"\n- environment:\n- GF_SECURITY_ADMIN_USER: admin\n- GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?please set GRAFANA_ADMIN_PASSWORD}\n- GF_USERS_ALLOW_SIGN_UP: \"false\"\n- GF_SERVER_ROOT_URL: https://monitor.tpm8.com\n- volumes:\n- - grafana_data:/var/lib/grafana\n- depends_on:\n- - prometheus\n- networks:\n- - monitor\n-\n- alertmanager:\n- image: prom/alertmanager:latest\n- container_name: monitor-alertmanager\n- restart: unless-stopped\n- ports:\n- - \"9093:9093\"\n- command:\n- - \"--config.file=/etc/alertmanager/alertmanager.yml\"\n- - \"--storage.path=/alertmanager\"\n- configs:\n- - source: alertmanager_config\n- target: /etc/alertmanager/alertmanager.yml\n- volumes:\n- - alertmanager_data:/alertmanager\n- networks:\n- - monitor\n-\n-configs:\n- prometheus_config:\n- content: |\n- global:\n- scrape_interval: 15s\n- evaluation_interval: 15s\n-\n- alerting:\n- alertmanagers:\n- - static_configs:\n- - targets:\n- - alertmanager:9093\n-\n- scrape_configs:\n- - job_name: prometheus\n- static_configs:\n- - targets:\n- - prometheus:9090\n-\n- - job_name: alertmanager\n- static_configs:\n- - targets:\n- - alertmanager:9093\n-\n- # 每台服务器安装 node_exporter 后，把 IP 和端口补到这里。\n- # - job_name: node\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9100\n- # - 192.168.1.12:9100\n- # - 192.168.1.13:9100\n- # - 192.168.1.14:9100\n- # - 192.168.1.15:9100\n-\n- # Redis exporter 示例。\n- # - job_name: redis\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9121\n-\n- # MySQL exporter 示例。\n- # - job_name: mysql\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9104\n-\n- # RabbitMQ 开启 prometheus 插件后，默认指标路径通常是 /metrics。\n- # - job_name: rabbitmq\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:15692\n-\n- # 自定义业务指标示例，业务服务需要暴露 /metrics。\n- # - job_name: business\n- # metrics_path: /metrics\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:8080\n-\n- alertmanager_config:\n- content: |\n- global:\n- resolve_timeout: 5m\n-\n- route:\n- group_by:\n- - alertname\n- group_wait: 30s\n- group_interval: 5m\n- repeat_interval: 4h\n- receiver: default\n-\n- receivers:\n- - name: default\n-\n-volumes:\n- prometheus_data:\n- grafana_data:\n- alertmanager_data:\n-\n-networks:\n- monitor:\n- driver: bridge\n+services:\n+ prometheus:\n+ image: prom/prometheus:v2.55.1\n+ container_name: monitor-prometheus\n+ restart: unless-stopped\n+ user: \"65534:65534\"\n+ ports:\n+ - \"127.0.0.1:9090:9090\"\n+ command:\n+ - \"--config.file=/etc/prometheus/prometheus.yml\"\n+ - \"--storage.tsdb.path=/prometheus\"\n+ - \"--storage.tsdb.retention.time=${PROMETHEUS_RETENTION_TIME:-30d}\"\n+ - \"--storage.tsdb.retention.size=${PROMETHEUS_RETENTION_SIZE:-400GB}\"\n+ - \"--web.enable-lifecycle\"\n+ volumes:\n+ - ./config/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro\n+ - ./config/prometheus/rules:/etc/prometheus/rules:ro\n+ - /data/monitor/prometheus:/prometheus\n+ depends_on:\n+ - alertmanager\n+ networks:\n+ - monitor\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n+\n+ grafana:\n+ image: grafana/grafana:11.4.0\n+ container_name: monitor-grafana\n+ restart: unless-stopped\n+ user: \"472:472\"\n+ ports:\n+ - \"127.0.0.1:3000:3000\"\n+ environment:\n+ GF_SECURITY_ADMIN_USER: ${GRAFANA_ADMIN_USER:-admin}\n+ GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:?please set GRAFANA_ADMIN_PASSWORD}\n+ GF_USERS_ALLOW_SIGN_UP: \"false\"\n+ GF_SERVER_ROOT_URL: https://monitor.tpm8.com\n+ GF_ANALYTICS_REPORTING_ENABLED: \"false\"\n+ GF_ANALYTICS_CHECK_FOR_UPDATES: \"false\"\n+ GF_SECURITY_COOKIE_SECURE: \"true\"\n+ GF_SECURITY_COOKIE_SAMESITE: strict\n+ GF_SECURITY_DISABLE_GRAVATAR: \"true\"\n+ GF_AUTH_ANONYMOUS_ENABLED: \"false\"\n+ volumes:\n+ - /data/monitor/grafana:/var/lib/grafana\n+ depends_on:\n+ - prometheus\n+ networks:\n+ - monitor\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n+\n+ alertmanager:\n+ image: prom/alertmanager:v0.27.0\n+ container_name: monitor-alertmanager\n+ restart: unless-stopped\n+ user: \"65534:65534\"\n+ ports:\n+ - \"127.0.0.1:9093:9093\"\n+ command:\n+ - \"--config.file=/etc/alertmanager/alertmanager.yml\"\n+ - \"--storage.path=/alertmanager\"\n+ volumes:\n+ - ./config/alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml:ro\n+ - /data/monitor/alertmanager:/alertmanager\n+ networks:\n+ - monitor\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n+\n+networks:\n+ monitor:\n+ name: monitor\n+ driver: bridge\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n+global:\n+ scrape_interval: 15s\n+ evaluation_interval: 15s\n+ scrape_timeout: 10s\n+\n+rule_files:\n+ - /etc/prometheus/rules/*.yml\n+\n+alerting:\n+ alertmanagers:\n+ - static_configs:\n+ - targets:\n+ - alertmanager:9093\n+\n+scrape_configs:\n+ - job_name: prometheus\n+ static_configs:\n+ - targets:\n+ - prometheus:9090\n+\n+ - job_name: alertmanager\n+ static_configs:\n+ - targets:\n+ - alertmanager:9093\n+\n+ # 每台服务器安装 node_exporter 后，把 IP 和端口补到这里。\n+ # - job_name: node\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:9100\n+ # - 192.168.1.12:9100\n+ # - 192.168.1.13:9100\n+ # - 192.168.1.14:9100\n+ # - 192.168.1.15:9100\n+\n+ # Redis exporter 示例。\n+ # - job_name: redis\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:9121\n+\n+ # MySQL exporter 示例。\n+ # - job_name: mysql\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:9104\n+\n+ # RabbitMQ 开启 prometheus 插件后，默认指标路径通常是 /metrics。\n+ # - job_name: rabbitmq\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:15692\n+\n+ # 自定义业务指标示例，业务服务需要暴露 /metrics。\n+ # - job_name: business\n+ # metrics_path: /metrics\n+ # static_configs:\n+ # - targets:\n+ # - 192.168.1.11:8080\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/rules/base-alerts.yml\n+groups:\n+ - name: monitor-self\n+ rules:\n+ - alert: PrometheusTargetDown\n+ expr: up == 0\n+ for: 2m\n+ labels:\n+ severity: critical\n+ annotations:\n+ summary: \"Prometheus target is down\"\n+ description: \"Target {{ $labels.job }} {{ $labels.instance }} has been down for more than 2 minutes.\"\n+\n+ - alert: PrometheusConfigReloadFailed\n+ expr: prometheus_config_last_reload_successful == 0\n+ for: 5m\n+ labels:\n+ severity: warning\n+ annotations:\n+ summary: \"Prometheus config reload failed\"\n+ description: \"Prometheus failed to reload its configuration.\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/config/alertmanager/alertmanager.yml\n+global:\n+ resolve_timeout: 5m\n+\n+route:\n+ group_by:\n+ - alertname\n+ - job\n+ group_wait: 30s\n+ group_interval: 5m\n+ repeat_interval: 4h\n+ receiver: default\n+\n+receivers:\n+ - name: default\n+ # TODO: Configure your production receiver, for example email, Slack, PagerDuty, or webhook.\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"环境变量模板里不能放真实密码。我会保留标准的 `.env.example`，删除之前那个 `env.example`，并补一个 `.gitignore` 防止真实 `.env` 被提交。\n\n**Fixing environment files**\n\nI need to address the .env templates. The env.example file has secrets that shouldn’t be there, so I should delete it and create a new .env.example — if it exists, though! I’ll have to look into reading the .env.example to see what’s there. Also, I should check if .gitignore is set to ignore .env files. This might help ensure confidential information stays protected."},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":".gitignore"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/.env.example"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/.env.example\n@@\n-# Copy this file to .env and replace the value before starting Grafana.\n-GRAFANA_ADMIN_PASSWORD=change-me-to-a-long-random-password\n+# Copy this file to .env on the server and replace every value before starting.\n+GRAFANA_ADMIN_USER=admin\n+GRAFANA_ADMIN_PASSWORD=change-me-to-a-long-random-password\n+PROMETHEUS_RETENTION_TIME=30d\n+PROMETHEUS_RETENTION_SIZE=400GB\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/.gitignore\n+.env\n+env.example\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"Delete","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/env.example"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"配置文件已经拆分并清理完成。接下来我会校验 Compose 和 Prometheus 配置格式，确认生产版结构能正常解析。\n\n**Validating Docker configuration**\n\nI need to validate my Docker setup, but it looks like the directories like /data aren't needed. Checking the environment is okay, but I'm wondering if I need to use promtool. Should I just run `docker run` or focus on the Docker Compose configuration? Maybe I won’t need to pull anything if I use the environment I have. I also need to ensure that everything lints correctly. I checked the terminals earlier, but the terminals folder is missing. That's fine, I can manage!"},{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate production Compose configuration","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"Shell","input":{"command":"docker run --rm -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 promtool check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Prometheus config with promtool","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"AwaitShell","input":{"task_id":"569505","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/.cursor/projects/Users-ray-Documents-project-www-slot-monitor/terminals/569505.txt"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Prometheus 镜像已经拉取完成，刚才校验命令入口参数不对；我会用 `promtool` 作为 entrypoint 重新校验配置。"},{"type":"tool_use","name":"Shell","input":{"command":"docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Prometheus config correctly","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"Shell","input":{"command":"docker run --rm --entrypoint amtool -v \"$(pwd)/config/alertmanager:/etc/alertmanager:ro\" prom/alertmanager:v0.27.0 check-config /etc/alertmanager/alertmanager.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Alertmanager configuration","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/.env.example","/Users/ray/Documents/project/www/slot/monitor/.gitignore","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/rules/base-alerts.yml","/Users/ray/Documents/project/www/slot/monitor/config/alertmanager/alertmanager.yml"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"已按企业生产标准调整完成：\n\n- `docker-compose.yml` 不再使用 `latest`，改成固定版本。\n- Prometheus / Alertmanager / Grafana 端口都只绑定 `127.0.0.1`，避免公网直连。\n- 数据目录改成宿主机明确路径：`/data/monitor/...`\n- 配置拆到独立文件：\n - `config/prometheus/prometheus.yml`\n - `config/prometheus/rules/base-alerts.yml`\n - `config/alertmanager/alertmanager.yml`\n- Grafana 密码继续从 `.env` 注入，不写死。\n- 删除了不合适的 `env.example`，保留 `.env.example` 模板。\n- 新增 `.gitignore`，防止真实 `.env` 被提交。\n\n我已校验通过：\n\n```bash\ndocker compose config\npromtool check config\namtool check-config\n```\n\n服务器上启动前先执行：\n\n```bash\nsudo mkdir -p /data/monitor/prometheus /data/monitor/grafana /data/monitor/alertmanager\nsudo chown -R 65534:65534 /data/monitor/prometheus /data/monitor/alertmanager\nsudo chown -R 472:472 /data/monitor/grafana\n```\n\n然后创建 `.env`：\n\n```bash\nGRAFANA_ADMIN_USER=admin\nGRAFANA_ADMIN_PASSWORD='换成一串强密码'\nPROMETHEUS_RETENTION_TIME=30d\nPROMETHEUS_RETENTION_SIZE=400GB\n```\n\n启动：\n\n```bash\ndocker compose up -d\n```\n\n外部访问继续走 OpenResty：\n\n```text\nhttps://monitor.tpm8.com\n```\n\n**Finalizing command instructions**\n\nI need to consolidate the final instructions. It's essential to mention the files, data directories, and commands needed to prepare permissions. I should reference that the previous env.example had a password and was deleted to avoid exposing specifics since the user can see this. I need to include \"我删除了 env.example\". I'll provide the necessary chmod/chown commands and specify the UIDs for prometheus, grafana, and alertmanager. Lastly, I should include instructions to start OpenResty, and I'll finalize in Chinese."}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:20 PM (UTC+8)</timestamp>\n<user_query>\n你的用户\"\"\"user: \"65534:65534\"\"\"\" 这里每个都不一样，为什么？ 要不全都不要设计user\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你的判断是合理的：不同镜像内部默认用户和目录权限各不相同，强行在 Compose 里统一写 UID 容易带来挂载目录权限问题。我会去掉这些 `user` 配置，让官方镜像按默认用户运行。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n image: prom/prometheus:v2.55.1\n container_name: monitor-prometheus\n restart: unless-stopped\n- user: \"65534:65534\"\n ports:\n - \"127.0.0.1:9090:9090\"\n@@\n image: grafana/grafana:11.4.0\n container_name: monitor-grafana\n restart: unless-stopped\n- user: \"472:472\"\n ports:\n - \"127.0.0.1:3000:3000\"\n@@\n image: prom/alertmanager:v0.27.0\n container_name: monitor-alertmanager\n restart: unless-stopped\n- user: \"65534:65534\"\n ports:\n - \"127.0.0.1:9093:9093\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我已经去掉了所有显式 `user` 字段。现在目录权限可以按更通用的方式处理，我会重新校验 Compose。"},{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Compose after removing users","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你说得对，我已经把 `docker-compose.yml` 里的这些都去掉了：\n\n```yaml\nuser: \"65534:65534\"\nuser: \"472:472\"\n```\n\n原因是不同官方镜像默认用户不一样，强行指定 UID 会让宿主机挂载目录权限更容易出问题。现在让镜像按官方默认方式运行，更省心。\n\n这样服务器上目录准备也可以简化为：\n\n```bash\nsudo mkdir -p /data/monitor/prometheus /data/monitor/grafana /data/monitor/alertmanager\n```\n\n如果启动后遇到某个目录权限问题，再针对具体目录 `chown` 即可。\n\n已重新执行 `docker compose config` 校验，通过。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:22 PM (UTC+8)</timestamp>\n<user_query>\n你挂载的目录，我觉得设置成当前目录建立文件夹，不要/data/monitor 这样是不是更好？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"可以，放在当前项目目录下更便于整体打包、迁移和查看；我会把 `/data/monitor/...` 改成相对路径 `./data/...`，并把相关说明文件也同步调整。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/.gitignore"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/.env.example"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把数据目录改成 `./data/prometheus`、`./data/grafana`、`./data/alertmanager`，并把 `data/` 加到忽略列表，避免监控数据被纳入版本管理。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n volumes:\n - ./config/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro\n - ./config/prometheus/rules:/etc/prometheus/rules:ro\n- - /data/monitor/prometheus:/prometheus\n+ - ./data/prometheus:/prometheus\n@@\n volumes:\n- - /data/monitor/grafana:/var/lib/grafana\n+ - ./data/grafana:/var/lib/grafana\n@@\n volumes:\n - ./config/alertmanager/alertmanager.yml:/etc/alertmanager/alertmanager.yml:ro\n- - /data/monitor/alertmanager:/alertmanager\n+ - ./data/alertmanager:/alertmanager\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/.gitignore\n@@\n .env\n env.example\n+data/\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"目录挂载已经改为当前项目内的 `data/`。我会创建这些目录并再次校验 Compose 配置。"},{"type":"tool_use","name":"Shell","input":{"command":"ls \"/Users/ray/Documents/project/www/slot/monitor\" && mkdir -p \"data/prometheus\" \"data/grafana\" \"data/alertmanager\" && GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Create data dirs and validate Compose","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/.gitignore"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"可以，这样更适合你现在这个项目式部署。我已经改好了：\n\n```yaml\n./data/prometheus:/prometheus\n./data/grafana:/var/lib/grafana\n./data/alertmanager:/alertmanager\n```\n\n现在数据会落在当前目录：\n\n```text\n./data/prometheus\n./data/grafana\n./data/alertmanager\n```\n\n同时我已经把 `data/` 加进 `.gitignore`，避免监控数据被提交。\n\n启动前在项目目录下即可：\n\n```bash\nmkdir -p data/prometheus data/grafana data/alertmanager\ndocker compose up -d\n```\n\n我也重新执行了 `docker compose config`，校验通过。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:27 PM (UTC+8)</timestamp>\n<user_query>\nGF_PATHS_DATA='/var/lib/grafana' is not writable.\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这个错误是宿主机 `./data/grafana` 目录权限导致的：Grafana 官方镜像默认用 UID `472` 写 `/var/lib/grafana`，但当前绑定挂载目录不是它可写。我会补一个部署说明文件，把这些生产启动前的目录权限命令写清楚。\n\n**Fixing container write issues**\n\nI need to address a potential issue with the Grafana container where the default user (UID 472) might not have permission to write to the bind mount created by the host. To resolve this, I should consider changing the ownership of the data directory to match the Grafana UID. Maybe I can use docker-compose for this. Updating the README to explain the fix could be helpful for the user who reported the error.\n**Addressing user permissions issue**\n\nIt seems I need to focus on updating the permissions by using 'chown' for the enterprise setting. I might need to update the .env.example file or create a README with setup commands, even though the user just asked about the error. I could modify the docker-compose as well. Adding a `README.md` or a setup script could be useful, especially if the permissions issue arises from the local data directories not being writable. I'll also consider inspecting local data ownership.\n**Providing setup commands**\n\nI need to give the user the necessary commands to set up the directories and permissions correctly. First, I should suggest creating the required directories with `sudo mkdir -p data/{prometheus,grafana,alertmanager}`. Then, I can explain how to change the ownership of the Grafana directory and the Prometheus and Alertmanager directories with `chown`. Lastly, after ensuring the directories are set up properly, I can mention restarting and bringing the Grafana service up with Docker."},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"README*"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会新增一个 `README.md`，把首次部署、目录权限、启动和排错命令放进去；Compose 本身不用改，继续保持官方镜像默认用户。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/README.md\n+# Monitoring Stack\n+\n+Production monitoring stack for Prometheus, Grafana, and Alertmanager.\n+\n+## First-Time Setup\n+\n+Create the local data directories:\n+\n+```bash\n+mkdir -p data/prometheus data/grafana data/alertmanager\n+```\n+\n+Set ownership for the official container users:\n+\n+```bash\n+sudo chown -R 65534:65534 data/prometheus data/alertmanager\n+sudo chown -R 472:472 data/grafana\n+```\n+\n+Create the environment file:\n+\n+```bash\n+cp .env.example .env\n+```\n+\n+Edit `.env` and replace `GRAFANA_ADMIN_PASSWORD` with a strong password.\n+\n+Start the stack:\n+\n+```bash\n+docker compose up -d\n+```\n+\n+## Common Permission Fix\n+\n+If Grafana reports:\n+\n+```text\n+GF_PATHS_DATA='/var/lib/grafana' is not writable.\n+```\n+\n+Fix the Grafana data directory permissions:\n+\n+```bash\n+sudo chown -R 472:472 data/grafana\n+docker compose restart grafana\n+```\n+\n+Prometheus and Alertmanager use UID `65534` in their official images:\n+\n+```bash\n+sudo chown -R 65534:65534 data/prometheus data/alertmanager\n+docker compose restart prometheus alertmanager\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这是 `./data/grafana` 目录权限问题，不是 Grafana 配置问题。\n\n执行这两条即可：\n\n```bash\nsudo chown -R 472:472 data/grafana\ndocker compose restart grafana\n```\n\n原因是 Grafana 官方容器默认用 UID `472` 运行，它需要写入容器内的 `/var/lib/grafana`，而我们挂载的是宿主机当前目录的：\n\n```text\n./data/grafana\n```\n\n我也补了 `README.md`，里面写了首次部署需要执行的权限命令：\n\n```bash\nsudo chown -R 65534:65534 data/prometheus data/alertmanager\nsudo chown -R 472:472 data/grafana\n```"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:40 PM (UTC+8)</timestamp>\n<user_query>\n我已经搭建好了，选择哪个dashboard呢？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"先从这些 Grafana Dashboard 开始就够用了：\n\n- **服务器监控**：`Node Exporter Full`\n - Dashboard ID：`1860`\n - 用于 CPU、内存、磁盘、网络、负载等主机指标\n\n- **MySQL 监控**：`MySQL Exporter Quickstart and Dashboard`\n - Dashboard ID：`14057`\n - 适合 `mysqld_exporter`\n\n- **Redis 监控**：`Redis Dashboard for Prometheus Redis Exporter`\n - Dashboard ID：`763`\n - 适合 `redis_exporter`\n\n- **RabbitMQ 监控**：`RabbitMQ-Overview`\n - Dashboard ID：`10991`\n - 适合 RabbitMQ Prometheus 插件\n\n导入路径：\n\n```text\nGrafana -> Dashboards -> New -> Import\n```\n\n然后输入 Dashboard ID，数据源选择你的 `Prometheus`。\n\n如果只能先选一个，优先导入：\n\n```text\n1860 - Node Exporter Full\n```\n\n它最通用，先确认 5 台服务器基础指标都正常。之后再加 MySQL、Redis、RabbitMQ 的看板。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:44 PM (UTC+8)</timestamp>\n<user_query>\n怎么监控本机呢，我引入了1860，目前什么数据都没有展示\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"1860 看板依赖 `node_exporter` 指标，现在 Prometheus 只采集了自己和 Alertmanager，所以没有主机数据。我会把本机 `node_exporter` 加进 Compose 和 Prometheus 配置里。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会加一个 `node-exporter` 容器来采集监控服务器本机指标，并把 Prometheus 的 `node` 任务指向它；1860 看板就会有数据。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n alertmanager:\n image: prom/alertmanager:v0.27.0\n container_name: monitor-alertmanager\n restart: unless-stopped\n@@\n options:\n max-size: \"100m\"\n max-file: \"5\"\n+\n+ node-exporter:\n+ image: prom/node-exporter:v1.8.2\n+ container_name: monitor-node-exporter\n+ restart: unless-stopped\n+ pid: host\n+ command:\n+ - \"--path.rootfs=/host\"\n+ volumes:\n+ - /:/host:ro,rslave\n+ networks:\n+ - monitor\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n \n networks:\n monitor:\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n - job_name: alertmanager\n static_configs:\n - targets:\n - alertmanager:9093\n \n+ - job_name: node\n+ static_configs:\n+ - targets:\n+ - node-exporter:9100\n+ labels:\n+ instance: monitor-server\n+\n # 每台服务器安装 node_exporter 后，把 IP 和端口补到这里。\n # - job_name: node\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我也会更新 README，说明本机指标已经内置，启动或重启后去 Prometheus Targets 和 1860 看板检查。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n Start the stack:\n \n ```bash\n docker compose up -d\n ```\n+\n+The stack includes `node-exporter` for the monitoring server itself. Grafana dashboard `1860` should show host metrics after Prometheus scrapes the `node` target.\n@@\n Prometheus and Alertmanager use UID `65534` in their official images:\n@@\n sudo chown -R 65534:65534 data/prometheus data/alertmanager\n docker compose restart prometheus alertmanager\n ```\n+\n+## Check Metrics\n+\n+Check Prometheus targets:\n+\n+```bash\n+curl http://127.0.0.1:9090/api/v1/targets\n+```\n+\n+The `node` target should be `up`.\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"本机 node_exporter 已加好。我会校验 Compose 和 Prometheus 配置，确保新增采集任务格式没问题。"},{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate node exporter monitoring config","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"1860 没数据是因为还没有采集本机的 `node_exporter`。我已经给你加好了：\n\n- `docker-compose.yml` 新增 `node-exporter`\n- `config/prometheus/prometheus.yml` 新增 `job_name: node`\n- `README.md` 补了检查方式\n\n现在在服务器上执行：\n\n```bash\ndocker compose up -d\n```\n\n或者如果已经启动过：\n\n```bash\ndocker compose up -d node-exporter\ndocker compose restart prometheus\n```\n\n然后打开 Prometheus Targets 检查：\n\n```text\nhttp://127.0.0.1:9090/targets\n```\n\n应该能看到：\n\n```text\nnode node-exporter:9100 UP\n```\n\n回到 Grafana 的 `1860` 看板，数据源选 `Prometheus`，`instance` 选择 `monitor-server`，稍等 15-30 秒就会有数据。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Wednesday, May 6, 2026, 8:56 PM (UTC+8)</timestamp>\n<user_query>\n还是没有数据，我是服务器上的，“”“http://127.0.0.1:9090/targets ”“” 外部无法访问这个得\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"`127.0.0.1:9090` 只能在服务器本机访问，外部浏览器打不开是正常的。Grafana 里更常见的问题是数据源地址填成了 `127.0.0.1:9090`，在 Grafana 容器内这会指向 Grafana 自己；我会帮你把 Prometheus 数据源做成自动配置，固定使用容器内地址 `http://prometheus:9090`。\n\n**Diagnosing data access issues**\n\nI need to address the issue the user has mentioned about no data being accessible, likely because Prometheus is bound to localhost. It could be that Grafana isn't properly accessing Prometheus or that the data source is misconfigured. Maybe I should also consider editing OpenResty to expose Prometheus, but that could be risky. I’ll check that Grafana's datasource points to the correct internal address and make sure both Prometheus and node exporter are running, along with any necessary permissions or configurations.\n**Configuring Grafana data sources**\n\nIt seems like the issue with no data in Grafana could be a misconfiguration of the data source. The user might have set it up as `http://127.0.0.1:9090`, which points to the Grafana container itself. Instead, it should be `http://prometheus:9090`. I’ll consider creating a provisioning file for the Grafana datasource to ensure it’s set up correctly. Maybe we could also explore giving external access to Prometheus through OpenResty, but it’s safer not to expose it. Lastly, I’ll suggest checking in Grafana Explore with the `up` query."},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md"}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"config/grafana/**"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会新增 Grafana 数据源 provisioning，并把它挂载到容器里。这样 Grafana 会自动有一个默认 `Prometheus` 数据源，地址是容器网络内可达的 `http://prometheus:9090`。"},{"type":"tool_use","name":"Shell","input":{"command":"ls \"/Users/ray/Documents/project/www/slot/monitor/config\" && mkdir -p \"/Users/ray/Documents/project/www/slot/monitor/config/grafana/provisioning/datasources\"","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Create Grafana provisioning directory","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/docker-compose.yml\n@@\n volumes:\n - ./data/grafana:/var/lib/grafana\n+ - ./config/grafana/provisioning:/etc/grafana/provisioning:ro\n depends_on:\n - prometheus\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/config/grafana/provisioning/datasources/prometheus.yml\n+apiVersion: 1\n+\n+datasources:\n+ - name: Prometheus\n+ type: prometheus\n+ access: proxy\n+ url: http://prometheus:9090\n+ isDefault: true\n+ editable: true\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把 README 的检查说明改成适合你这种外部只访问 Grafana 的方式：在服务器 SSH 内检查 Prometheus，在 Grafana Explore 里查 `up`。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n The stack includes `node-exporter` for the monitoring server itself. Grafana dashboard `1860` should show host metrics after Prometheus scrapes the `node` target.\n+Grafana provisions a default `Prometheus` data source with the internal URL `http://prometheus:9090`.\n@@\n-Check Prometheus targets:\n+Check Prometheus targets from the server SSH session:\n \n ```bash\n curl http://127.0.0.1:9090/api/v1/targets\n ```\n \n The `node` target should be `up`.\n+\n+From Grafana, go to `Explore`, select the `Prometheus` data source, and run:\n+\n+```promql\n+up\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"自动数据源已经加好。我会校验 Compose，并确认 Prometheus 配置仍然有效。"},{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Grafana datasource and Prometheus config","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/config/grafana/provisioning/datasources/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"外部打不开 `http://127.0.0.1:9090/targets` 是正常的，因为 Prometheus 只绑定了服务器本机，安全上不建议公网开放。\n\n我已经帮你加了 Grafana 自动数据源配置：\n\n```text\nconfig/grafana/provisioning/datasources/prometheus.yml\n```\n\nGrafana 里会自动出现默认数据源 `Prometheus`，地址是：\n\n```text\nhttp://prometheus:9090\n```\n\n注意：Grafana 数据源不要填 `http://127.0.0.1:9090`，因为在 Grafana 容器里，`127.0.0.1` 指的是 Grafana 容器自己。\n\n现在在服务器执行：\n\n```bash\ndocker compose up -d\ndocker compose restart grafana prometheus\n```\n\n然后在 Grafana 里：\n\n1. 打开 `Explore`\n2. 数据源选 `Prometheus`\n3. 查询：\n\n```promql\nup\n```\n\n如果正常，应该看到 `prometheus`、`alertmanager`、`node` 这些 target。\n\n1860 看板里也要确认右上角数据源选择的是 `Prometheus`，`job` 选 `node`，`instance` 选 `monitor-server`。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"[Image]\n<image_files>\nThe following images were provdied by the user and saved to the workspace for future use:\n1. /Users/ray/.cursor/projects/Users-ray-Documents-project-www-slot-monitor/assets/image-40f9ada4-68b8-443c-9ab5-33d213c1e66f.png\n\nThese images can be copied for use in other locations.\n</image_files>\n<timestamp>Wednesday, May 6, 2026, 9:01 PM (UTC+8)</timestamp>\n<user_query>\n\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这个截图说明 **Grafana 看板变量没有拿到 Prometheus 数据**，常见是下面两种情况：\n\n1. Grafana 数据源还没生效\n2. Prometheus 没采集到 `node-exporter`\n\n你先在服务器项目目录执行：\n\n```bash\ndocker compose up -d\ndocker compose restart grafana prometheus\n```\n\n然后进 Grafana 检查：\n\n```text\nConnections -> Data sources -> Prometheus -> Save & test\n```\n\n这里必须显示成功。\n\n接着去：\n\n```text\nExplore -> Prometheus\n```\n\n查询：\n\n```promql\nup\n```\n\n正常应该看到类似：\n\n```text\n{job=\"prometheus\", instance=\"prometheus:9090\"} 1\n{job=\"alertmanager\", instance=\"alertmanager:9093\"} 1\n{job=\"node\", instance=\"monitor-server\"} 1\n```\n\n如果 `up` 有数据，但 1860 还是红色，点看板右上角刷新，或者重新导入 1860，并选择数据源 `Prometheus`。\n\n如果 `up` 没数据，执行这几个命令看状态：\n\n```bash\ndocker compose ps\ndocker compose logs --tail=100 prometheus\ndocker compose logs --tail=100 node-exporter\n```\n\n你把输出贴给我，我可以继续判断是哪一层没通。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 10:31 AM (UTC+8)</timestamp>\n<user_query>\n其他服务器与prometheus不在同一台服务器。node-exporter在其他服务器上的docker-composer.yml安装,如何配置\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你的场景是 Prometheus 在监控服务器，`node-exporter` 分别跑在其他业务服务器上。配置方式是：每台业务服务器单独部署 `node-exporter` 并开放 `9100` 给监控服务器访问，然后在 Prometheus 的 `targets` 里写这些服务器的内网 IP。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会新增一个给业务服务器使用的 `node-exporter` Compose 示例文件，并把 Prometheus 配置改成能同时采集本机和远程服务器的结构。你之后只需要替换里面的内网 IP。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/node-exporter.docker-compose.yml\n+services:\n+ node-exporter:\n+ image: prom/node-exporter:v1.8.2\n+ container_name: node-exporter\n+ restart: unless-stopped\n+ pid: host\n+ ports:\n+ - \"9100:9100\"\n+ command:\n+ - \"--path.rootfs=/host\"\n+ volumes:\n+ - /:/host:ro,rslave\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n - job_name: node\n static_configs:\n - targets:\n - node-exporter:9100\n labels:\n instance: monitor-server\n-\n- # 每台服务器安装 node_exporter 后，把 IP 和端口补到这里。\n- # - job_name: node\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9100\n- # - 192.168.1.12:9100\n- # - 192.168.1.13:9100\n- # - 192.168.1.14:9100\n- # - 192.168.1.15:9100\n+ # 其他服务器安装 node_exporter 后，把内网 IP 和端口补到这里。\n+ # - targets:\n+ # - 10.0.1.11:9100\n+ # labels:\n+ # instance: app-server-01\n+ # - targets:\n+ # - 10.0.1.12:9100\n+ # labels:\n+ # instance: app-server-02\n+ # - targets:\n+ # - 10.0.1.13:9100\n+ # labels:\n+ # instance: db-server-01\n+ # - targets:\n+ # - 10.0.1.14:9100\n+ # labels:\n+ # instance: mq-server-01\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我还会把 README 里补上远程服务器部署步骤和 AWS 安全组要求，避免把 9100 暴露到公网。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n From Grafana, go to `Explore`, select the `Prometheus` data source, and run:\n \n ```promql\n up\n ```\n+\n+## Monitor Other Servers\n+\n+Copy `node-exporter.docker-compose.yml` to each server that needs host monitoring, then start it on that server:\n+\n+```bash\n+docker compose -f node-exporter.docker-compose.yml up -d\n+```\n+\n+On AWS, allow inbound TCP `9100` only from the monitoring server private IP. Do not open `9100` to the public internet.\n+\n+Then add each server private IP to `config/prometheus/prometheus.yml` under the `node` job:\n+\n+```yaml\n+- targets:\n+ - 10.0.1.11:9100\n+ labels:\n+ instance: app-server-01\n+```\n+\n+Reload Prometheus after updating the file:\n+\n+```bash\n+curl -X POST http://127.0.0.1:9090/-/reload\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"远程服务器示例和 Prometheus 配置模板已经补好。我会做一次配置校验，确认 Prometheus 的 YAML 仍然有效。"},{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null && docker compose -f \"node-exporter.docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate monitoring and exporter configs","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/node-exporter.docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"可以这样配。我已经新增了一个给其他服务器用的文件：\n\n```text\nnode-exporter.docker-compose.yml\n```\n\n把这个文件复制到每台需要监控的服务器上，然后执行：\n\n```bash\ndocker compose -f node-exporter.docker-compose.yml up -d\n```\n\n它会在那台服务器开放：\n\n```text\n9100\n```\n\n然后在监控服务器的 `config/prometheus/prometheus.yml` 里，把这些服务器的 **内网 IP** 加到 `node` 这个 job 下，例如：\n\n```yaml\n- targets:\n - 10.0.1.11:9100\n labels:\n instance: app-server-01\n- targets:\n - 10.0.1.12:9100\n labels:\n instance: app-server-02\n```\n\n改完后在监控服务器执行：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\nAWS 安全组重点：\n\n```text\n业务服务器入站 9100 只允许监控服务器的内网 IP 访问\n不要开放 9100 到 0.0.0.0/0\n```\n\n我也已经更新了 `README.md`，并校验了两个 Compose 文件和 Prometheus 配置。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 6:06 PM (UTC+8)</timestamp>\n<user_query>\nReadObject: expect { or , or } or n, but found <, error found in #1 byte of ...|<html lang=|..., bigger context ...|<html lang=\"en\"> <head> <meta charset=\"UTF-8\"|... - There was an error returned querying the Prometheus API.\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这个报错的关键是 `found <html`：Grafana 去请求 Prometheus API 时拿到的是 HTML 页面，不是 Prometheus 返回的 JSON。通常是 Grafana 数据源 URL 配错了，比如填成了 `https://monitor.tpm8.com`、OpenResty 地址，或者 `127.0.0.1:9090`。我会把 Grafana provisioning 改成强制重建默认 Prometheus 数据源，避免旧的错误数据源继续生效。\n\n**Updating datasource provisioning**\n\nI'm thinking about updating the provisioning to delete the existing datasource named Prometheus and then recreate it. I might also consider adding `jsonData` with `httpMethod` set to POST. After that, I’ll need to instruct a restart of Grafana. Before I proceed with the change, I'll want to make a commentary update and maybe read a file for additional context. Let's make sure everything's clear and ready."},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/grafana/provisioning/datasources/prometheus.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/docker-compose.yml"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"当前文件里的 URL 是对的，但 Grafana 可能已经保存过一个同名旧数据源。接下来我会让 provisioning 启动时先删除旧的 `Prometheus` 数据源，再创建正确的。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/grafana/provisioning/datasources/prometheus.yml\n@@\n apiVersion: 1\n \n+deleteDatasources:\n+ - name: Prometheus\n+ orgId: 1\n+\n datasources:\n - name: Prometheus\n+ uid: prometheus\n+ orgId: 1\n type: prometheus\n access: proxy\n url: http://prometheus:9090\n isDefault: true\n editable: true\n+ jsonData:\n+ httpMethod: POST\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会校验 Compose，然后给你一组在服务器上确认容器间连通和重启 Grafana 的命令。"},{"type":"tool_use","name":"Shell","input":{"command":"GRAFANA_ADMIN_PASSWORD='temporary-validation-password' docker compose -f \"docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Grafana datasource provisioning","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/config/grafana/provisioning/datasources/prometheus.yml"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这个错误说明 Grafana 请求 Prometheus API 时，拿到的是一个 HTML 页面，不是 JSON。基本可以确定是 **Grafana 数据源 URL 指错了**。\n\n正确的 Grafana 数据源 URL 应该是：\n\n```text\nhttp://prometheus:9090\n```\n\n不是：\n\n```text\nhttps://monitor.tpm8.com\nhttp://127.0.0.1:9090\nhttp://localhost:9090\n```\n\n我已经把 `config/grafana/provisioning/datasources/prometheus.yml` 改成启动时先删除旧的 `Prometheus` 数据源，再创建正确的数据源。\n\n你在服务器上执行：\n\n```bash\ndocker compose restart grafana\n```\n\n然后进 Grafana：\n\n```text\nConnections -> Data sources -> Prometheus\n```\n\n确认 URL 是：\n\n```text\nhttp://prometheus:9090\n```\n\n再点 `Save & test`。\n\n也可以在服务器上验证 Grafana 容器能不能访问 Prometheus：\n\n```bash\ndocker compose exec grafana wget -qO- http://prometheus:9090/api/v1/query?query=up\n```\n\n如果正常，返回里应该有：\n\n```json\n\"status\":\"success\"\n```\n\n如果你还看到 `<html lang=\"en\">`，说明当前 Grafana 用的仍然是旧数据源，删除旧的 Prometheus 数据源后重启 Grafana 即可。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 6:07 PM (UTC+8)</timestamp>\n<user_query>\n我现在是另外一台服务器的 node-exporter \n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"明白，你现在要监控的是 **另一台服务器上的 `node-exporter`**。\n\n配置分两边：\n\n在另一台服务器上运行 `node-exporter`：\n\n```bash\ndocker compose -f node-exporter.docker-compose.yml up -d\n```\n\n确保这台服务器的 `9100` 端口能被 **Prometheus 所在服务器** 访问。AWS 安全组这样配：\n\n```text\n入站 TCP 9100\n来源：Prometheus 服务器的内网 IP /32\n```\n\n然后在 Prometheus 服务器上改：\n\n```text\nconfig/prometheus/prometheus.yml\n```\n\n在 `job_name: node` 下面加入另一台服务器的 **内网 IP**，例如：\n\n```yaml\n- job_name: node\n static_configs:\n - targets:\n - node-exporter:9100\n labels:\n instance: monitor-server\n\n - targets:\n - 10.0.1.11:9100\n labels:\n instance: app-server-01\n```\n\n注意这里用 **内网 IP**，不要用公网域名，也不要写 `node-exporter:9100`。`node-exporter:9100` 只适用于和 Prometheus 在同一个 Docker 网络里的本机容器。\n\n改完后在 Prometheus 服务器执行：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\n如果不确定网络通不通，在 Prometheus 服务器上测试：\n\n```bash\ncurl http://10.0.1.11:9100/metrics\n```\n\n能看到一堆 `node_` 开头的指标，就说明通了。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 6:10 PM (UTC+8)</timestamp>\n<user_query>\n你的意思是 “”“- job_name: node\n static_configs:\n - targets:\n - node-exporter:9100\n labels:\n instance: monitor-server”“” 这里再追加 172.31.5.131:9100 吗？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"对，就是在同一个 `job_name: node` 下面追加一组 `targets`。\n\n改成这样：\n\n```yaml\n- job_name: node\n static_configs:\n - targets:\n - node-exporter:9100\n labels:\n instance: monitor-server\n\n - targets:\n - 172.31.5.131:9100\n labels:\n instance: app-server-01\n```\n\n如果 `172.31.5.131` 就是另一台服务器的 AWS 内网 IP，这样配置是对的。\n\n改完后在 Prometheus 服务器执行：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\n然后在 Grafana 的 Explore 查询：\n\n```promql\nup{job=\"node\"}\n```\n\n应该能看到：\n\n```text\nmonitor-server 1\napp-server-01 1\n```\n\n如果 `172.31.5.131:9100` 是 `0` 或没有出现，重点检查另一台服务器安全组：`9100` 入站只允许 Prometheus 服务器内网 IP 访问。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 6:15 PM (UTC+8)</timestamp>\n<user_query>\n可以访问 172.31.5.131:9100 ， 但是 up{job=\"node\"} 没有任何数据。 \n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"既然 `172.31.5.131:9100` 能访问，但 `up{job=\"node\"}` 没数据，问题大概率不在 node-exporter，而是在 Prometheus 没加载到这个 target，或者配置改完没有 reload 成功。我先看一下当前 Prometheus 配置里 `node` 这段是否真的加进去了。\n\n**Troubleshooting data issue**\n\nI need to troubleshoot why the user can access the target but isn’t getting any data from the query. It sounds like it could be a configuration problem, maybe the config hasn’t been reloaded or there's an issue with the job config. I might need to inspect the current file because it may not have been modified, and it seems like checking the Prometheus data source would be a good next step."},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","offset":15,"limit":35}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"当前文件里还没有真正加入 `172.31.5.131:9100`，它还只是注释示例，所以 Prometheus 不会采集它。我会把这台服务器作为真实 target 加进去。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n - targets:\n - node-exporter:9100\n labels:\n instance: monitor-server\n+ - targets:\n+ - 172.31.5.131:9100\n+ labels:\n+ instance: app-server-01\n # 其他服务器安装 node_exporter 后，把内网 IP 和端口补到这里。\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"已经加上真实 target。我会校验 Prometheus 配置格式，确保缩进和 YAML 结构没问题。"},{"type":"tool_use","name":"Shell","input":{"command":"docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Prometheus target config","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"原因找到了：`172.31.5.131:9100` 还没有真正加到 `config/prometheus/prometheus.yml`，之前只是注释示例。\n\n我已经帮你加成真实配置了：\n\n```yaml\n- job_name: node\n static_configs:\n - targets:\n - node-exporter:9100\n labels:\n instance: monitor-server\n - targets:\n - 172.31.5.131:9100\n labels:\n instance: app-server-01\n```\n\n并且 Prometheus 配置校验通过。\n\n现在在 Prometheus 服务器执行：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\n然后等 15-30 秒，在 Grafana Explore 查询：\n\n```promql\nup{job=\"node\"}\n```\n\n应该能看到 `app-server-01`。如果还没有，直接重启 Prometheus：\n\n```bash\ndocker compose restart prometheus\n```"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 6:30 PM (UTC+8)</timestamp>\n<user_query>\n好的，可以了。 现在我要监控另一个服务器上的MySQL，这个服务器上有两个MySQL实例，都是docker容器安装的\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"好的，MySQL 和 Prometheus 不在同一台机器时，推荐在 MySQL 所在服务器上为每个 MySQL 实例各跑一个 `mysqld_exporter`，分别监听不同端口，然后 Prometheus 采集这两个 exporter。这样每个实例的指标和标签都清楚。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会新增一个专门给“双 MySQL 实例服务器”使用的 exporter Compose 模板，包含两个 exporter、两个不同端口和 `.env` 示例；同时在 Prometheus 配置里加 MySQL job 模板。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/mysql-exporter.docker-compose.yml\n+services:\n+ mysql-exporter-01:\n+ image: prom/mysqld-exporter:v0.16.0\n+ container_name: mysql-exporter-01\n+ restart: unless-stopped\n+ ports:\n+ - \"9104:9104\"\n+ command:\n+ - \"--mysqld.address=${MYSQL_01_HOST}:${MYSQL_01_PORT}\"\n+ - \"--mysqld.username=${MYSQL_01_EXPORTER_USER}\"\n+ environment:\n+ MYSQLD_EXPORTER_PASSWORD: ${MYSQL_01_EXPORTER_PASSWORD:?please set MYSQL_01_EXPORTER_PASSWORD}\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n+\n+ mysql-exporter-02:\n+ image: prom/mysqld-exporter:v0.16.0\n+ container_name: mysql-exporter-02\n+ restart: unless-stopped\n+ ports:\n+ - \"9105:9104\"\n+ command:\n+ - \"--mysqld.address=${MYSQL_02_HOST}:${MYSQL_02_PORT}\"\n+ - \"--mysqld.username=${MYSQL_02_EXPORTER_USER}\"\n+ environment:\n+ MYSQLD_EXPORTER_PASSWORD: ${MYSQL_02_EXPORTER_PASSWORD:?please set MYSQL_02_EXPORTER_PASSWORD}\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/mysql-exporter.env.example\n+MYSQL_01_HOST=127.0.0.1\n+MYSQL_01_PORT=3306\n+MYSQL_01_EXPORTER_USER=exporter\n+MYSQL_01_EXPORTER_PASSWORD=change-me\n+\n+MYSQL_02_HOST=127.0.0.1\n+MYSQL_02_PORT=3307\n+MYSQL_02_EXPORTER_USER=exporter\n+MYSQL_02_EXPORTER_PASSWORD=change-me\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n- # MySQL exporter 示例。\n- # - job_name: mysql\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9104\n+ - job_name: mysql\n+ static_configs:\n+ # MySQL 所在服务器部署 mysql-exporter 后，把内网 IP 和端口补到这里。\n+ # - targets:\n+ # - 172.31.5.132:9104\n+ # labels:\n+ # instance: mysql-01\n+ # - targets:\n+ # - 172.31.5.132:9105\n+ # labels:\n+ # instance: mysql-02\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我需要补充一段 README：MySQL 里要创建低权限监控账号，每个实例都要创建，并且 AWS 只开放 exporter 端口给 Prometheus 服务器。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n Reload Prometheus after updating the file:\n \n ```bash\n curl -X POST http://127.0.0.1:9090/-/reload\n ```\n+\n+## Monitor MySQL Containers\n+\n+On each MySQL instance, create a low-privilege exporter user:\n+\n+```sql\n+CREATE USER 'exporter'@'%' IDENTIFIED BY 'replace-with-strong-password' WITH MAX_USER_CONNECTIONS 3;\n+GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'exporter'@'%';\n+FLUSH PRIVILEGES;\n+```\n+\n+Copy `mysql-exporter.docker-compose.yml` and `mysql-exporter.env.example` to the MySQL server:\n+\n+```bash\n+cp mysql-exporter.env.example .env\n+```\n+\n+Edit `.env` for the two local MySQL instances, for example:\n+\n+```bash\n+MYSQL_01_HOST=127.0.0.1\n+MYSQL_01_PORT=3306\n+MYSQL_01_EXPORTER_USER=exporter\n+MYSQL_01_EXPORTER_PASSWORD='replace-with-strong-password'\n+\n+MYSQL_02_HOST=127.0.0.1\n+MYSQL_02_PORT=3307\n+MYSQL_02_EXPORTER_USER=exporter\n+MYSQL_02_EXPORTER_PASSWORD='replace-with-strong-password'\n+```\n+\n+Start the exporters:\n+\n+```bash\n+docker compose -f mysql-exporter.docker-compose.yml up -d\n+```\n+\n+On AWS, allow inbound TCP `9104` and `9105` only from the monitoring server private IP.\n+\n+Then add the MySQL server private IP to the `mysql` job in `config/prometheus/prometheus.yml`:\n+\n+```yaml\n+- targets:\n+ - 172.31.5.132:9104\n+ labels:\n+ instance: mysql-01\n+- targets:\n+ - 172.31.5.132:9105\n+ labels:\n+ instance: mysql-02\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"MySQL exporter 模板已添加。我会校验新增 Compose 和 Prometheus 配置，确认文件格式正确。"},{"type":"tool_use","name":"Shell","input":{"command":"MYSQL_01_HOST='127.0.0.1' MYSQL_01_PORT='3306' MYSQL_01_EXPORTER_USER='exporter' MYSQL_01_EXPORTER_PASSWORD='temporary-password' MYSQL_02_HOST='127.0.0.1' MYSQL_02_PORT='3307' MYSQL_02_EXPORTER_USER='exporter' MYSQL_02_EXPORTER_PASSWORD='temporary-password' docker compose -f \"mysql-exporter.docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate MySQL exporter and Prometheus configs","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/mysql-exporter.docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/mysql-exporter.env.example","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"可以，一个 MySQL 实例对应一个 `mysqld_exporter`。你这台服务器有两个 MySQL 容器，所以我已经新增了：\n\n```text\nmysql-exporter.docker-compose.yml\nmysql-exporter.env.example\n```\n\n两个 exporter 分别暴露：\n\n```text\nmysql-exporter-01 -> 9104\nmysql-exporter-02 -> 9105\n```\n\n在 MySQL 服务器上操作：\n\n```bash\ncp mysql-exporter.env.example .env\n```\n\n然后按你的两个 MySQL 容器端口修改 `.env`：\n\n```bash\nMYSQL_01_HOST=127.0.0.1\nMYSQL_01_PORT=3306\nMYSQL_01_EXPORTER_USER=exporter\nMYSQL_01_EXPORTER_PASSWORD='强密码'\n\nMYSQL_02_HOST=127.0.0.1\nMYSQL_02_PORT=3307\nMYSQL_02_EXPORTER_USER=exporter\nMYSQL_02_EXPORTER_PASSWORD='强密码'\n```\n\n每个 MySQL 实例里都创建监控账号：\n\n```sql\nCREATE USER 'exporter'@'%' IDENTIFIED BY '强密码' WITH MAX_USER_CONNECTIONS 3;\nGRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'exporter'@'%';\nFLUSH PRIVILEGES;\n```\n\n启动 exporter：\n\n```bash\ndocker compose -f mysql-exporter.docker-compose.yml up -d\n```\n\n然后在 Prometheus 服务器的 `config/prometheus/prometheus.yml` 里，`mysql` job 下加入 MySQL 服务器内网 IP：\n\n```yaml\n- targets:\n - 172.31.x.x:9104\n labels:\n instance: mysql-01\n- targets:\n - 172.31.x.x:9105\n labels:\n instance: mysql-02\n```\n\nAWS 安全组只开放 `9104`、`9105` 给 Prometheus 服务器内网 IP。配置文件和 Compose 我已经校验通过。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 8:34 PM (UTC+8)</timestamp>\n<user_query>\nYou have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'monitorExporter'@'%'' at line 2\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这个报错通常是因为你把两条 SQL 连在一起执行了，但中间没有正确分号，或者你的 MySQL 版本不支持 `CREATE USER ... WITH MAX_USER_CONNECTIONS` 这种写法。\n\n建议分开执行，兼容性更好：\n\n```sql\nCREATE USER 'monitorExporter'@'%' IDENTIFIED BY '你的强密码';\n```\n\n```sql\nGRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'monitorExporter'@'%';\n```\n\n```sql\nALTER USER 'monitorExporter'@'%' WITH MAX_USER_CONNECTIONS 3;\n```\n\n```sql\nFLUSH PRIVILEGES;\n```\n\n如果 `ALTER USER ... WITH MAX_USER_CONNECTIONS` 也报错，可以先跳过这一句，不影响监控。\n\n然后你的 `.env` 里要对应：\n\n```bash\nMYSQL_01_EXPORTER_USER=monitorExporter\nMYSQL_01_EXPORTER_PASSWORD='你的强密码'\n```\n\nMySQL 8 推荐上面这种。MySQL 5.7 也基本可以用；如果你的版本很老，再告诉我具体版本。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 8:49 PM (UTC+8)</timestamp>\n<user_query>\nmysql 用那个dashboard呢？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"MySQL 建议先用这个：\n\n```text\nMySQL Exporter Quickstart and Dashboard\nDashboard ID: 14057\n```\n\n导入路径：\n\n```text\nGrafana -> Dashboards -> New -> Import\n```\n\n输入：\n\n```text\n14057\n```\n\n数据源选择：\n\n```text\nPrometheus\n```\n\n如果你有两个 MySQL 实例，导入后通常可以通过变量选择：\n\n```text\ninstance = mysql-01\ninstance = mysql-02\n```\n\n也可以备选这个：\n\n```text\nPercona MySQL Overview\nDashboard ID: 7362\n```\n\n但你现在用的是 `mysqld_exporter`，优先推荐 `14057`。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 8:59 PM (UTC+8)</timestamp>\n<user_query>\n但是没有数据呀\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"MySQL 看板没数据一般要按链路排查：MySQL exporter 是否自己有指标、Prometheus 是否采集到 `job=\"mysql\"`、Grafana 看板变量是否选对实例。我先检查当前 Prometheus 配置里 MySQL target 是否还是注释模板。"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","offset":50,"limit":30}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你现在 `mysql` 这段还只是注释模板，没有真正的 target，所以 Prometheus 没采集 MySQL，Grafana 肯定没数据。\n\n当前配置是这种：\n\n```yaml\n- job_name: mysql\n static_configs:\n # - targets:\n # - 172.31.5.132:9104\n```\n\n你需要改成真实配置，比如 MySQL 服务器内网 IP 是 `172.31.5.132`：\n\n```yaml\n- job_name: mysql\n static_configs:\n - targets:\n - 172.31.5.132:9104\n labels:\n instance: mysql-01\n - targets:\n - 172.31.5.132:9105\n labels:\n instance: mysql-02\n```\n\n然后 reload：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\n再在 Grafana Explore 查询：\n\n```promql\nup{job=\"mysql\"}\n```\n\n应该看到：\n\n```text\nmysql-01 1\nmysql-02 1\n```\n\n如果还是没有，先在 Prometheus 服务器测试 exporter 是否可访问：\n\n```bash\ncurl http://172.31.5.132:9104/metrics\ncurl http://172.31.5.132:9105/metrics\n```\n\n你把 MySQL 服务器的内网 IP 给我，我也可以直接帮你写进 `prometheus.yml`。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 9:03 PM (UTC+8)</timestamp>\n<user_query>\n可以访问\"\"\"process_network_receive_bytes_total 250\n# HELP process_network_transmit_bytes_total Number of bytes sent by the process over the network.\n# TYPE process_network_transmit_bytes_total counter\nprocess_network_transmit_bytes_total 112\n# HELP process_open_fds Number of open file descriptors.\n# TYPE process_open_fds gauge\nprocess_open_fds 8\n# HELP process_resident_memory_bytes Resident memory size in bytes.\n# TYPE process_resident_memory_bytes gauge\nprocess_resident_memory_bytes 1.1034624e+07\n# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.\n# TYPE process_start_time_seconds gauge\nprocess_start_time_seconds 1.77815772588e+09\n# HELP process_virtual_memory_bytes Virtual memory size in bytes.\n# TYPE process_virtual_memory_bytes gauge\nprocess_virtual_memory_bytes 1.266085888e+09\n# HELP process_virtual_memory_max_bytes Maximum amount of virtual memory available in bytes.\n# TYPE process_virtual_memory_max_bytes gauge\nprocess_virtual_memory_max_bytes 1.8446744073709552e+19\n# HELP promhttp_metric_handler_requests_in_flight Current number of scrapes being served.\n# TYPE promhttp_metric_handler_requests_in_flight gauge\npromhttp_metric_handler_requests_in_flight 1\n# HELP promhttp_metric_handler_requests_total Total number of scrapes by HTTP status code.\n# TYPE promhttp_metric_handler_requests_total counter\npromhttp_metric_handler_requests_total{code=\"200\"} 0\npromhttp_metric_handler_requests_total{code=\"500\"} 0\npromhttp_metric_handler_requests_total{code=\"503\"} 0\"\"\" 这是部分数据。但是面板上没有\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你贴出来的这些是 exporter 自身的进程指标，不一定代表已经连上 MySQL。MySQL 看板需要 `mysql_` 开头的指标，尤其是 `mysql_up` 必须是 `1`。这里要重点确认 exporter 到 MySQL 容器的连接方式。\n你现在能访问 `:9104/metrics`，说明 **mysqld_exporter 本身启动了**，但你贴出来的是：\n\n```text\nprocess_...\npromhttp_...\n```\n\n这些只是 exporter 自身指标。MySQL 面板需要看到类似：\n\n```text\nmysql_up 1\nmysql_global_status_threads_connected\nmysql_global_status_queries\nmysql_global_variables_max_connections\n```\n\n先在 Prometheus 服务器上查：\n\n```bash\ncurl http://你的MySQL服务器内网IP:9104/metrics | grep -E \"mysql_up|mysql_global_status\"\ncurl http://你的MySQL服务器内网IP:9105/metrics | grep -E \"mysql_up|mysql_global_status\"\n```\n\n判断结果：\n\n```text\nmysql_up 1\n```\n\n才表示 exporter 成功连上 MySQL。\n\n如果只有 `process_`、`promhttp_`，没有 `mysql_` 指标，通常是你的 `mysql-exporter.env` 里写了：\n\n```bash\nMYSQL_01_HOST=127.0.0.1\n```\n\n但注意：`127.0.0.1` 在 exporter 容器里指的是 **exporter 容器自己**，不是宿主机，也不是 MySQL 容器。\n\n如果你的 MySQL 容器端口映射到了宿主机，比如：\n\n```text\n宿主机 3306 -> mysql容器 3306\n宿主机 3307 -> mysql容器 3306\n```\n\n推荐把 `mysql-exporter.docker-compose.yml` 改成 host 网络：\n\n```yaml\nservices:\n mysql-exporter-01:\n network_mode: host\n ...\n mysql-exporter-02:\n network_mode: host\n ...\n```\n\n这样 `.env` 里的 `127.0.0.1:3306` / `127.0.0.1:3307` 才能访问宿主机上的 MySQL 映射端口。\n\n另外还要确认 Prometheus 已经加了 MySQL target：\n\n```yaml\n- job_name: mysql\n static_configs:\n - targets:\n - 你的MySQL服务器内网IP:9104\n labels:\n instance: mysql-01\n - targets:\n - 你的MySQL服务器内网IP:9105\n labels:\n instance: mysql-02\n```\n\nGrafana Explore 里分别查：\n\n```promql\nup{job=\"mysql\"}\nmysql_up\n```\n\n`up{job=\"mysql\"} = 1` 只代表 Prometheus 能抓到 exporter。\n\n`mysql_up = 1` 才代表 exporter 成功连上 MySQL。\n\n**Diagnosing MySQL metrics**\n\nI'm wondering if they added something on the server instead of locally. They mention access to metrics, but I need to clarify the issue related to \"面板没有.\" It could be that Prometheus isn't configured or won't reload correctly. I might suggest editing the prometheus.yml file with the known IP. \n\nOh, and I should ask for the MySQL server IP and ports since they didn't provide that. I could use a config snippet with 172.31.5.131. It's also important to confirm they shouldn't use the dashboard until certain metrics are displayed properly."}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 9:17 PM (UTC+8)</timestamp>\n<user_query>\n\"\"\"- job_name: mysql\n static_configs:\n - targets:\n - 172.31.4.2:9104\n labels:\n instance: wallet\n - targets:\n - 172.31.4.2:9105\n labels:\n instance: user\"\"\"\n</user_query>"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Thursday, May 7, 2026, 9:17 PM (UTC+8)</timestamp>\n<user_query>\n# HELP go_gc_duration_seconds A summary of the wall-time pause (stop-the-world) duration in garbage collection cycles.\n# TYPE go_gc_duration_seconds summary\ngo_gc_duration_seconds{quantile=\"0\"} 2.7997e-05\ngo_gc_duration_seconds{quantile=\"0.25\"} 3.9633e-05\ngo_gc_duration_seconds{quantile=\"0.5\"} 5.2951e-05\ngo_gc_duration_seconds{quantile=\"0.75\"} 6.995e-05\ngo_gc_duration_seconds{quantile=\"1\"} 9.257e-05\ngo_gc_duration_seconds_sum 0.000977422\ngo_gc_duration_seconds_count 18\n# HELP go_gc_gogc_percent Heap size target percentage configured by the user, otherwise 100. This value is set by the GOGC environment variable, and the runtime/debug.SetGCPercent function. Sourced from /gc/gogc:percent\n# TYPE go_gc_gogc_percent gauge\ngo_gc_gogc_percent 100\n# HELP go_gc_gomemlimit_bytes Go runtime memory limit configured by the user, otherwise math.MaxInt64. This value is set by the GOMEMLIMIT environment variable, and the runtime/debug.SetMemoryLimit function. Sourced from /gc/gomemlimit:bytes\n# TYPE go_gc_gomemlimit_bytes gauge\ngo_gc_gomemlimit_bytes 9.223372036854776e+18\n# HELP go_goroutines Number of goroutines that currently exist.\n# TYPE go_goroutines gauge\ngo_goroutines 8\n# HELP go_info Information about the Go environment.\n# TYPE go_info gauge\ngo_info{version=\"go1.23.3\"} 1\n# HELP go_memstats_alloc_bytes Number of bytes allocated in heap and currently in use. Equals to /memory/classes/heap/objects:bytes.\n# TYPE go_memstats_alloc_bytes gauge\ngo_memstats_alloc_bytes 3.379088e+06\n# HELP go_memstats_alloc_bytes_total Total number of bytes allocated in heap until now, even if released already. Equals to /gc/heap/allocs:bytes.\n# TYPE go_memstats_alloc_bytes_total counter\ngo_memstats_alloc_bytes_total 3.0689376e+07\n# HELP go_memstats_buck_hash_sys_bytes Number of bytes used by the profiling bucket hash table. Equals to /memory/classes/profiling/buckets:bytes.\n# TYPE go_memstats_buck_hash_sys_bytes gauge\ngo_memstats_buck_hash_sys_bytes 4239\n# HELP go_memstats_frees_total Total number of heap objects frees. Equals to /gc/heap/frees:objects + /gc/heap/tiny/allocs:objects.\n# TYPE go_memstats_frees_total counter\ngo_memstats_frees_total 67048\n# HELP go_memstats_gc_sys_bytes Number of bytes used for garbage collection system metadata. Equals to /memory/classes/metadata/other:bytes.\n# TYPE go_memstats_gc_sys_bytes gauge\ngo_memstats_gc_sys_bytes 2.805624e+06\n# HELP go_memstats_heap_alloc_bytes Number of heap bytes allocated and currently in use, same as go_memstats_alloc_bytes. Equals to /memory/classes/heap/objects:bytes.\n# TYPE go_memstats_heap_alloc_bytes gauge\ngo_memstats_heap_alloc_bytes 3.379088e+06\n# HELP go_memstats_heap_idle_bytes Number of heap bytes waiting to be used. Equals to /memory/classes/heap/released:bytes + /memory/classes/heap/free:bytes.\n# TYPE go_memstats_heap_idle_bytes gauge\ngo_memstats_heap_idle_bytes 6.832128e+06\n# HELP go_memstats_heap_inuse_bytes Number of heap bytes that are in use. Equals to /memory/classes/heap/objects:bytes + /memory/classes/heap/unused:bytes\n# TYPE go_memstats_heap_inuse_bytes gauge\ngo_memstats_heap_inuse_bytes 5.013504e+06\n# HELP go_memstats_heap_objects Number of currently allocated objects. Equals to /gc/heap/objects:objects.\n# TYPE go_memstats_heap_objects gauge\ngo_memstats_heap_objects 3895\n# HELP go_memstats_heap_released_bytes Number of heap bytes released to OS. Equals to /memory/classes/heap/released:bytes.\n# TYPE go_memstats_heap_released_bytes gauge\ngo_memstats_heap_released_bytes 4.145152e+06\n# HELP go_memstats_heap_sys_bytes Number of heap bytes obtained from system. Equals to /memory/classes/heap/objects:bytes + /memory/classes/heap/unused:bytes + /memory/classes/heap/released:bytes + /memory/classes/heap/free:bytes.\n# TYPE go_memstats_heap_sys_bytes gauge\ngo_memstats_heap_sys_bytes 1.1845632e+07\n# HELP go_memstats_last_gc_time_seconds Number of seconds since 1970 of last garbage collection.\n# TYPE go_memstats_last_gc_time_seconds gauge\ngo_memstats_last_gc_time_seconds 1.7781593633413656e+09\n# HELP go_memstats_mallocs_total Total number of heap objects allocated, both live and gc-ed. Semantically a counter version for go_memstats_heap_objects gauge. Equals to /gc/heap/allocs:objects + /gc/heap/tiny/allocs:objects.\n# TYPE go_memstats_mallocs_total counter\ngo_memstats_mallocs_total 70943\n# HELP go_memstats_mcache_inuse_bytes Number of bytes in use by mcache structures. Equals to /memory/classes/metadata/mcache/inuse:bytes.\n# TYPE go_memstats_mcache_inuse_bytes gauge\ngo_memstats_mcache_inuse_bytes 4800\n# HELP go_memstats_mcache_sys_bytes Number of bytes used for mcache structures obtained from system. Equals to /memory/classes/metadata/mcache/inuse:bytes + /memory/classes/metadata/mcache/free:bytes.\n# TYPE go_memstats_mcache_sys_bytes gauge\ngo_memstats_mcache_sys_bytes 15600\n# HELP go_memstats_mspan_inuse_bytes Number of bytes in use by mspan structures. Equals to /memory/classes/metadata/mspan/inuse:bytes.\n# TYPE go_memstats_mspan_inuse_bytes gauge\ngo_memstats_mspan_inuse_bytes 91840\n# HELP go_memstats_mspan_sys_bytes Number of bytes used for mspan structures obtained from system. Equals to /memory/classes/metadata/mspan/inuse:bytes + /memory/classes/metadata/mspan/free:bytes.\n# TYPE go_memstats_mspan_sys_bytes gauge\ngo_memstats_mspan_sys_bytes 97920\n# HELP go_memstats_next_gc_bytes Number of heap bytes when next garbage collection will take place. Equals to /gc/heap/goal:bytes.\n# TYPE go_memstats_next_gc_bytes gauge\ngo_memstats_next_gc_bytes 6.78112e+06\n# HELP go_memstats_other_sys_bytes Number of bytes used for other system allocations. Equals to /memory/classes/other:bytes.\n# TYPE go_memstats_other_sys_bytes gauge\ngo_memstats_other_sys_bytes 1.015961e+06\n# HELP go_memstats_stack_inuse_bytes Number of bytes obtained from system for stack allocator in non-CGO environments. Equals to /memory/classes/heap/stacks:bytes.\n# TYPE go_memstats_stack_inuse_bytes gauge\ngo_memstats_stack_inuse_bytes 688128\n# HELP go_memstats_stack_sys_bytes Number of bytes obtained from system for stack allocator. Equals to /memory/classes/heap/stacks:bytes + /memory/classes/os-stacks:bytes.\n# TYPE go_memstats_stack_sys_bytes gauge\ngo_memstats_stack_sys_bytes 688128\n# HELP go_memstats_sys_bytes Number of bytes obtained from system. Equals to /memory/classes/total:byte.\n# TYPE go_memstats_sys_bytes gauge\ngo_memstats_sys_bytes 1.6473104e+07\n# HELP go_sched_gomaxprocs_threads The current runtime.GOMAXPROCS setting, or the number of operating system threads that can execute user-level Go code simultaneously. Sourced from /sched/gomaxprocs:threads\n# TYPE go_sched_gomaxprocs_threads gauge\ngo_sched_gomaxprocs_threads 4\n# HELP go_threads Number of OS threads created.\n# TYPE go_threads gauge\ngo_threads 7\n# HELP mysql_up Whether the MySQL server is up.\n# TYPE mysql_up gauge\nmysql_up 0\n# HELP mysqld_exporter_build_info A metric with a constant '1' value labeled by version, revision, branch, goversion from which mysqld_exporter was built, and the goos and goarch for the build.\n# TYPE mysqld_exporter_build_info gauge\nmysqld_exporter_build_info{branch=\"HEAD\",goarch=\"amd64\",goos=\"linux\",goversion=\"go1.23.3\",revision=\"c366424252a3140838a344a6cb0d40d44f1be91d\",tags=\"unknown\",version=\"0.16.0\"} 1\n# HELP process_cpu_seconds_total Total user and system CPU time spent in seconds.\n# TYPE process_cpu_seconds_total counter\nprocess_cpu_seconds_total 0.14\n# HELP process_max_fds Maximum number of open file descriptors.\n# TYPE process_max_fds gauge\nprocess_max_fds 65536\n# HELP process_network_receive_bytes_total Number of bytes received by the process over the network.\n# TYPE process_network_receive_bytes_total counter\nprocess_network_receive_bytes_total 24174\n# HELP process_network_transmit_bytes_total Number of bytes sent by the process over the network.\n# TYPE process_network_transmit_bytes_total counter\nprocess_network_transmit_bytes_total 130467\n# HELP process_open_fds Number of open file descriptors.\n# TYPE process_open_fds gauge\nprocess_open_fds 9\n# HELP process_resident_memory_bytes Resident memory size in bytes.\n# TYPE process_resident_memory_bytes gauge\nprocess_resident_memory_bytes 2.0017152e+07\n# HELP process_start_time_seconds Start time of the process since unix epoch in seconds.\n# TYPE process_start_time_seconds gauge\nprocess_start_time_seconds 1.77815772588e+09\n# HELP process_virtual_memory_bytes Virtual memory size in bytes.\n# TYPE process_virtual_memory_bytes gauge\nprocess_virtual_memory_bytes 1.26752768e+09\n# HELP process_virtual_memory_max_bytes Maximum amount of virtual memory available in bytes.\n# TYPE process_virtual_memory_max_bytes gauge\nprocess_virtual_memory_max_bytes 1.8446744073709552e+19\n# HELP promhttp_metric_handler_requests_in_flight Current number of scrapes being served.\n# TYPE promhttp_metric_handler_requests_in_flight gauge\npromhttp_metric_handler_requests_in_flight 1\n# HELP promhttp_metric_handler_requests_total Total number of scrapes by HTTP status code.\n# TYPE promhttp_metric_handler_requests_total counter\npromhttp_metric_handler_requests_total{code=\"200\"} 47\npromhttp_metric_handler_requests_total{code=\"500\"} 0\npromhttp_metric_handler_requests_total{code=\"503\"} 0\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"`mysql_up 0` 已经说明问题点了：Prometheus 能抓到 exporter，但 exporter 没连上 MySQL。你这两个 MySQL 是 Docker 容器，当前 exporter 如果用默认 bridge 网络，`.env` 里的 `127.0.0.1:3306/3307` 指向的是 exporter 容器自己，不是宿主机；我会把 MySQL exporter 模板改成 host 网络模式，让它能访问宿主机上映射出来的 MySQL 端口。\n\n**Diagnosing MySQL Exporter Issues**\n\nI need to help the user as they provided a config snippet and mentioned that the MySQL metric shows \"mysql_up 0.\" It seems like the exporter is reachable but cannot connect to MySQL, which might require some edits to the files. I could suggest updating the MySQL exporter to use the host network. It’s important to check the logs, provide relevant commands, and verify the flags for mysqld_exporter. The logs indicating \"mysql_up 0\" suggest the exporter can't ping the database.\n**Configuring MySQL Exporter**\n\nI’m considering that if the MySQL containers are on the same host and mapped to host ports, the exporter container using a bridge network can’t connect to 127.0.0.1. Instead, I can suggest using the host IP or maybe `host.docker.internal`. A simpler approach could be to set the `network_mode: host` for the exporter, but that would mean removing port mappings because the host directly binds to the ports. I'll need to update the `mysql-exporter.docker-compose.yml` accordingly, removing the ports and adding `web.listen-address`. We'll also want to validate this and update the README."},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/mysql-exporter.docker-compose.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/mysql-exporter.env.example"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md","offset":100,"limit":60}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把两个 exporter 都改成 `network_mode: host`，并显式设置监听端口：第一个监听 `9104`，第二个监听 `9105`，这样它们不会端口冲突。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/mysql-exporter.docker-compose.yml\n@@\n image: prom/mysqld-exporter:v0.16.0\n container_name: mysql-exporter-01\n restart: unless-stopped\n- ports:\n- - \"9104:9104\"\n+ network_mode: host\n command:\n+ - \"--web.listen-address=:9104\"\n - \"--mysqld.address=${MYSQL_01_HOST}:${MYSQL_01_PORT}\"\n - \"--mysqld.username=${MYSQL_01_EXPORTER_USER}\"\n@@\n image: prom/mysqld-exporter:v0.16.0\n container_name: mysql-exporter-02\n restart: unless-stopped\n- ports:\n- - \"9105:9104\"\n+ network_mode: host\n command:\n+ - \"--web.listen-address=:9105\"\n - \"--mysqld.address=${MYSQL_02_HOST}:${MYSQL_02_PORT}\"\n - \"--mysqld.username=${MYSQL_02_EXPORTER_USER}\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会同步 README，把 `mysql_up 0` 的含义和 host 网络模式说明补上，方便后续排查。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n Edit `.env` for the two local MySQL instances, for example:\n \n ```bash\n MYSQL_01_HOST=127.0.0.1\n@@\n MYSQL_02_EXPORTER_PASSWORD='replace-with-strong-password'\n ```\n+\n+The MySQL exporter compose file uses `network_mode: host`, so `127.0.0.1:3306` and `127.0.0.1:3307` refer to ports on the MySQL server host.\n@@\n On AWS, allow inbound TCP `9104` and `9105` only from the monitoring server private IP.\n@@\n - targets:\n - 172.31.5.132:9105\n labels:\n instance: mysql-02\n ```\n+\n+If `mysql_up` is `0`, Prometheus can scrape the exporter but the exporter cannot connect to MySQL. Check the exporter logs:\n+\n+```bash\n+docker compose -f mysql-exporter.docker-compose.yml logs --tail=100 mysql-exporter-01\n+docker compose -f mysql-exporter.docker-compose.yml logs --tail=100 mysql-exporter-02\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"模板已改。接下来我会校验 Compose 文件，确保 host 网络和端口参数能正常解析。"},{"type":"tool_use","name":"Shell","input":{"command":"MYSQL_01_HOST='127.0.0.1' MYSQL_01_PORT='3306' MYSQL_01_EXPORTER_USER='exporter' MYSQL_01_EXPORTER_PASSWORD='temporary-password' MYSQL_02_HOST='127.0.0.1' MYSQL_02_PORT='3307' MYSQL_02_EXPORTER_USER='exporter' MYSQL_02_EXPORTER_PASSWORD='temporary-password' docker compose -f \"mysql-exporter.docker-compose.yml\" config >/dev/null","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate updated MySQL exporter Compose","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/mysql-exporter.docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你现在这个结果说明：\n\n```text\nmysql_up 0\n```\n\nPrometheus 能访问 exporter，但 exporter 没连上 MySQL，所以 MySQL 面板没有数据。\n\n我已经把 `mysql-exporter.docker-compose.yml` 改成 `network_mode: host` 了。这样你的 `.env` 里：\n\n```bash\nMYSQL_01_HOST=127.0.0.1\nMYSQL_01_PORT=3306\n\nMYSQL_02_HOST=127.0.0.1\nMYSQL_02_PORT=3307\n```\n\n才会指向 **MySQL 服务器宿主机上的 3306/3307 端口**。\n\n两个 exporter 监听端口现在是：\n\n```text\nmysql-exporter-01 -> 9104\nmysql-exporter-02 -> 9105\n```\n\n在 MySQL 服务器上重新启动：\n\n```bash\ndocker compose -f mysql-exporter.docker-compose.yml down\ndocker compose -f mysql-exporter.docker-compose.yml up -d\n```\n\n然后检查：\n\n```bash\ncurl http://127.0.0.1:9104/metrics | grep mysql_up\ncurl http://127.0.0.1:9105/metrics | grep mysql_up\n```\n\n要看到：\n\n```text\nmysql_up 1\n```\n\n如果还是 `0`，看日志：\n\n```bash\ndocker compose -f mysql-exporter.docker-compose.yml logs --tail=100 mysql-exporter-01\ndocker compose -f mysql-exporter.docker-compose.yml logs --tail=100 mysql-exporter-02\n```\n\n日志里通常会直接告诉你是密码错、权限不足，还是连不上 `127.0.0.1:3306/3307`。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 10:12 AM (UTC+8)</timestamp>\n<user_query>\nRedis也是在另外一台设备上，并且是容器安装的\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Redis 在另一台服务器且是容器安装，处理方式和 MySQL 类似：在 Redis 所在服务器部署 `redis_exporter`，Prometheus 通过这台服务器的内网 IP 采集 exporter 端口。因为 Redis 在容器里，我会给你一个适合宿主机端口映射场景的 Redis exporter Compose 模板。\n\n**Creating a redis exporter**\n\nI need to respond by creating a Redis exporter in a Docker Compose file, which will help expose Redis metrics. I also need to update the Prometheus README to include instructions for using the exporter. I’m considering what tools I might need to set this up. It's essential to ensure everything is properly documented so others can follow along easily. I want to get this right!"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md","offset":130,"limit":60}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"redis*"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会新增 `redis-exporter.docker-compose.yml` 和环境变量模板，并把 Prometheus 配置里的 Redis job 从注释模板改成可填真实 target 的结构。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/redis-exporter.docker-compose.yml\n+services:\n+ redis-exporter:\n+ image: oliver006/redis_exporter:v1.67.0\n+ container_name: redis-exporter\n+ restart: unless-stopped\n+ network_mode: host\n+ command:\n+ - \"--web.listen-address=:9121\"\n+ - \"--redis.addr=redis://${REDIS_HOST}:${REDIS_PORT}\"\n+ environment:\n+ REDIS_PASSWORD: ${REDIS_PASSWORD:-}\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/redis-exporter.env.example\n+REDIS_HOST=127.0.0.1\n+REDIS_PORT=6379\n+REDIS_PASSWORD=\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/redis-exporter.env.example\n+REDIS_HOST=127.0.0.1\n+REDIS_PORT=6379\n+REDIS_PASSWORD=\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n- # Redis exporter 示例。\n- # - job_name: redis\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9121\n+ - job_name: redis\n+ static_configs:\n+ # Redis 所在服务器部署 redis-exporter 后，把内网 IP 和端口补到这里。\n+ # - targets:\n+ # - 172.31.5.133:9121\n+ # labels:\n+ # instance: redis-01\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n- # Redis exporter 示例。\n- # - job_name: redis\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:9121\n+ - job_name: redis\n+ static_configs:\n+ # Redis 所在服务器部署 redis-exporter 后，把内网 IP 和端口补到这里。\n+ # - targets:\n+ # - 172.31.5.133:9121\n+ # labels:\n+ # instance: redis-01\n \n - job_name: mysql\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","offset":50,"limit":15}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Redis 配置已经写入 Prometheus 模板了。接下来我会把 Redis exporter 的部署步骤、AWS 安全组和检查命令补到 README。\n\n**Updating README**\n\nI'm realizing that the changes I made actually applied, even with the error I encountered. That’s a bit surprising, but I'm glad it worked out! Now, I need to update the README file to reflect the changes correctly. It’s always important to keep documentation in sync with the actual developments. I’ll make sure to clearly outline the new updates so anyone reading it can easily understand the improvements. Let’s get that done!"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n If `mysql_up` is `0`, Prometheus can scrape the exporter but the exporter cannot connect to MySQL. Check the exporter logs:\n \n ```bash\n docker compose -f mysql-exporter.docker-compose.yml logs --tail=100 mysql-exporter-01\n docker compose -f mysql-exporter.docker-compose.yml logs --tail=100 mysql-exporter-02\n ```\n+\n+## Monitor Redis Containers\n+\n+Copy `redis-exporter.docker-compose.yml` and `redis-exporter.env.example` to the Redis server:\n+\n+```bash\n+cp redis-exporter.env.example .env\n+```\n+\n+Edit `.env` for the Redis container exposed on the host:\n+\n+```bash\n+REDIS_HOST=127.0.0.1\n+REDIS_PORT=6379\n+REDIS_PASSWORD='replace-with-redis-password'\n+```\n+\n+If Redis has no password, leave `REDIS_PASSWORD` empty:\n+\n+```bash\n+REDIS_PASSWORD=\n+```\n+\n+The Redis exporter compose file uses `network_mode: host`, so `127.0.0.1:6379` refers to the Redis server host port.\n+\n+Start the exporter:\n+\n+```bash\n+docker compose -f redis-exporter.docker-compose.yml up -d\n+```\n+\n+On AWS, allow inbound TCP `9121` only from the monitoring server private IP.\n+\n+Then add the Redis server private IP to the `redis` job in `config/prometheus/prometheus.yml`:\n+\n+```yaml\n+- targets:\n+ - 172.31.5.133:9121\n+ labels:\n+ instance: redis-01\n+```\n+\n+Reload Prometheus:\n+\n+```bash\n+curl -X POST http://127.0.0.1:9090/-/reload\n+```\n+\n+Check Redis metrics:\n+\n+```bash\n+curl http://127.0.0.1:9121/metrics | grep redis_up\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会校验新增 Redis exporter 的 Compose 文件，以及 Prometheus 配置是否仍然有效。"},{"type":"tool_use","name":"Shell","input":{"command":"REDIS_HOST='127.0.0.1' REDIS_PORT='6379' REDIS_PASSWORD='' docker compose -f \"redis-exporter.docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate Redis exporter and Prometheus configs","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/redis-exporter.docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/redis-exporter.env.example","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我已经给 Redis 加好了独立模板：\n\n```text\nredis-exporter.docker-compose.yml\nredis-exporter.env.example\n```\n\n在 Redis 那台服务器上使用：\n\n```bash\ncp redis-exporter.env.example .env\n```\n\n如果 Redis 容器映射到宿主机 `6379`，`.env` 这样配：\n\n```bash\nREDIS_HOST=127.0.0.1\nREDIS_PORT=6379\nREDIS_PASSWORD='你的Redis密码'\n```\n\n如果没有密码：\n\n```bash\nREDIS_PASSWORD=\n```\n\n启动：\n\n```bash\ndocker compose -f redis-exporter.docker-compose.yml up -d\n```\n\n它会监听：\n\n```text\n9121\n```\n\n然后在 Prometheus 服务器的 `config/prometheus/prometheus.yml` 里，`redis` job 下加入 Redis 服务器内网 IP：\n\n```yaml\n- targets:\n - 172.31.x.x:9121\n labels:\n instance: redis-01\n```\n\nAWS 安全组只允许 Prometheus 服务器内网 IP 访问 Redis 服务器的 `9121`。\n\n检查：\n\n```bash\ncurl http://127.0.0.1:9121/metrics | grep redis_up\n```\n\n看到：\n\n```text\nredis_up 1\n```\n\n就说明 Redis exporter 已经连上 Redis。配置和 Compose 我也校验通过了。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 10:19 AM (UTC+8)</timestamp>\n<user_query>\n我有三个Redis实例，都是在同一台设备上，且都是容器安装的\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"三个 Redis 实例在同一台服务器上时，和两个 MySQL 类似：每个 Redis 实例对应一个 `redis_exporter`，分别监听 `9121/9122/9123`，Prometheus 用同一台服务器内网 IP 的不同端口采集。\n\n**Updating Redis Exporters**\n\nI need to modify files for three Redis exporters and also update the commentary. It seems like I should start by reviewing the current Redis configuration in the compose files, environment settings, and Prometheus setup. By taking a look at these, I can understand what changes are necessary. I'll be careful to ensure everything aligns well with the existing setup while I go about this task!"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/redis-exporter.docker-compose.yml"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/redis-exporter.env.example"}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","offset":50,"limit":20}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md","offset":160,"limit":60}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把 Redis exporter 模板扩展为 3 个服务，并把 `.env.example`、Prometheus 示例和 README 都同步成三实例版本。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/redis-exporter.docker-compose.yml\n@@\n services:\n- redis-exporter:\n+ redis-exporter-01:\n image: oliver006/redis_exporter:v1.67.0\n- container_name: redis-exporter\n+ container_name: redis-exporter-01\n restart: unless-stopped\n network_mode: host\n command:\n - \"--web.listen-address=:9121\"\n- - \"--redis.addr=redis://${REDIS_HOST}:${REDIS_PORT}\"\n+ - \"--redis.addr=redis://${REDIS_01_HOST}:${REDIS_01_PORT}\"\n environment:\n- REDIS_PASSWORD: ${REDIS_PASSWORD:-}\n+ REDIS_PASSWORD: ${REDIS_01_PASSWORD:-}\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n+\n+ redis-exporter-02:\n+ image: oliver006/redis_exporter:v1.67.0\n+ container_name: redis-exporter-02\n+ restart: unless-stopped\n+ network_mode: host\n+ command:\n+ - \"--web.listen-address=:9122\"\n+ - \"--redis.addr=redis://${REDIS_02_HOST}:${REDIS_02_PORT}\"\n+ environment:\n+ REDIS_PASSWORD: ${REDIS_02_PASSWORD:-}\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n+\n+ redis-exporter-03:\n+ image: oliver006/redis_exporter:v1.67.0\n+ container_name: redis-exporter-03\n+ restart: unless-stopped\n+ network_mode: host\n+ command:\n+ - \"--web.listen-address=:9123\"\n+ - \"--redis.addr=redis://${REDIS_03_HOST}:${REDIS_03_PORT}\"\n+ environment:\n+ REDIS_PASSWORD: ${REDIS_03_PASSWORD:-}\n logging:\n driver: json-file\n options:\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/redis-exporter.env.example\n@@\n-REDIS_HOST=127.0.0.1\n-REDIS_PORT=6379\n-REDIS_PASSWORD=\n+REDIS_01_HOST=127.0.0.1\n+REDIS_01_PORT=6379\n+REDIS_01_PASSWORD=\n+\n+REDIS_02_HOST=127.0.0.1\n+REDIS_02_PORT=6380\n+REDIS_02_PASSWORD=\n+\n+REDIS_03_HOST=127.0.0.1\n+REDIS_03_PORT=6381\n+REDIS_03_PASSWORD=\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n # - targets:\n # - 172.31.5.133:9121\n # labels:\n # instance: redis-01\n+ # - targets:\n+ # - 172.31.5.133:9122\n+ # labels:\n+ # instance: redis-02\n+ # - targets:\n+ # - 172.31.5.133:9123\n+ # labels:\n+ # instance: redis-03\n \n - job_name: mysql\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Redis 三实例模板已经更新。接下来我会改 README，把端口、环境变量和 Prometheus target 示例都改为 3 个 Redis 实例。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n-Edit `.env` for the Redis container exposed on the host:\n+Edit `.env` for the three Redis containers exposed on the host:\n \n ```bash\n-REDIS_HOST=127.0.0.1\n-REDIS_PORT=6379\n-REDIS_PASSWORD='replace-with-redis-password'\n+REDIS_01_HOST=127.0.0.1\n+REDIS_01_PORT=6379\n+REDIS_01_PASSWORD='replace-with-redis-password'\n+\n+REDIS_02_HOST=127.0.0.1\n+REDIS_02_PORT=6380\n+REDIS_02_PASSWORD='replace-with-redis-password'\n+\n+REDIS_03_HOST=127.0.0.1\n+REDIS_03_PORT=6381\n+REDIS_03_PASSWORD='replace-with-redis-password'\n ```\n \n-If Redis has no password, leave `REDIS_PASSWORD` empty:\n+If a Redis instance has no password, leave its password empty:\n \n ```bash\n-REDIS_PASSWORD=\n+REDIS_01_PASSWORD=\n ```\n \n-The Redis exporter compose file uses `network_mode: host`, so `127.0.0.1:6379` refers to the Redis server host port.\n+The Redis exporter compose file uses `network_mode: host`, so `127.0.0.1:6379`, `127.0.0.1:6380`, and `127.0.0.1:6381` refer to Redis server host ports.\n \n-Start the exporter:\n+Start the exporters:\n \n ```bash\n docker compose -f redis-exporter.docker-compose.yml up -d\n ```\n \n-On AWS, allow inbound TCP `9121` only from the monitoring server private IP.\n+On AWS, allow inbound TCP `9121`, `9122`, and `9123` only from the monitoring server private IP.\n \n Then add the Redis server private IP to the `redis` job in `config/prometheus/prometheus.yml`:\n \n ```yaml\n - targets:\n - 172.31.5.133:9121\n labels:\n instance: redis-01\n+- targets:\n+ - 172.31.5.133:9122\n+ labels:\n+ instance: redis-02\n+- targets:\n+ - 172.31.5.133:9123\n+ labels:\n+ instance: redis-03\n ```\n@@\n ```bash\n curl http://127.0.0.1:9121/metrics | grep redis_up\n+curl http://127.0.0.1:9122/metrics | grep redis_up\n+curl http://127.0.0.1:9123/metrics | grep redis_up\n ```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会校验三实例 Redis exporter 的 Compose 文件，以及 Prometheus 配置格式。"},{"type":"tool_use","name":"Shell","input":{"command":"REDIS_01_HOST='127.0.0.1' REDIS_01_PORT='6379' REDIS_01_PASSWORD='' REDIS_02_HOST='127.0.0.1' REDIS_02_PORT='6380' REDIS_02_PASSWORD='' REDIS_03_HOST='127.0.0.1' REDIS_03_PORT='6381' REDIS_03_PASSWORD='' docker compose -f \"redis-exporter.docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate three Redis exporter config","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/redis-exporter.docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/redis-exporter.env.example","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"已改成支持同一台服务器上的 3 个 Redis 实例。\n\n现在 `redis-exporter.docker-compose.yml` 里有 3 个 exporter：\n\n```text\nredis-exporter-01 -> 9121\nredis-exporter-02 -> 9122\nredis-exporter-03 -> 9123\n```\n\n`.env` 示例也改成：\n\n```bash\nREDIS_01_HOST=127.0.0.1\nREDIS_01_PORT=6379\nREDIS_01_PASSWORD=\n\nREDIS_02_HOST=127.0.0.1\nREDIS_02_PORT=6380\nREDIS_02_PASSWORD=\n\nREDIS_03_HOST=127.0.0.1\nREDIS_03_PORT=6381\nREDIS_03_PASSWORD=\n```\n\n在 Redis 服务器启动：\n\n```bash\ndocker compose -f redis-exporter.docker-compose.yml up -d\n```\n\nPrometheus 服务器里 `redis` job 按这个加：\n\n```yaml\n- targets:\n - 172.31.x.x:9121\n labels:\n instance: redis-01\n- targets:\n - 172.31.x.x:9122\n labels:\n instance: redis-02\n- targets:\n - 172.31.x.x:9123\n labels:\n instance: redis-03\n```\n\nAWS 安全组开放 `9121/9122/9123`，来源只允许 Prometheus 服务器内网 IP。\n\n我已校验 Compose 和 Prometheus 配置通过。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 10:22 AM (UTC+8)</timestamp>\n<user_query>\n那dashboard用那个呢，你推荐\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Redis 推荐先用这个：\n\n```text\nRedis Dashboard for Prometheus Redis Exporter\nDashboard ID: 763\n```\n\n它适配 `oliver006/redis_exporter`，和你现在这个 exporter 比较匹配。\n\n导入路径：\n\n```text\nGrafana -> Dashboards -> New -> Import\n```\n\n输入：\n\n```text\n763\n```\n\n数据源选择：\n\n```text\nPrometheus\n```\n\n导入后看变量里有没有：\n\n```text\ninstance = redis-01 / redis-02 / redis-03\n```\n\n如果你想要更现代一点的面板，也可以试：\n\n```text\nRedis Exporter Dashboard\nDashboard ID: 11835\n```\n\n我的建议：先用 `763`，确认三个 Redis 都有数据后，再看是否需要换成 `11835`。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 11:47 AM (UTC+8)</timestamp>\n<user_query>\n密码有特殊符号，那么密码是否需要加引号？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"需要，建议加引号。\n\n在 `.env` 文件里，如果密码包含特殊符号，比如：\n\n```text\n# $ @ ! & * ? = : 空格\n```\n\n建议这样写：\n\n```bash\nREDIS_01_PASSWORD='你的复杂密码'\n```\n\nMySQL 也是一样：\n\n```bash\nMYSQL_01_EXPORTER_PASSWORD='你的复杂密码'\n```\n\n如果密码里本身包含单引号 `'`，就改用双引号：\n\n```bash\nREDIS_01_PASSWORD=\"包含'单引号的密码\"\n```\n\n如果密码里包含 `$`，更推荐用单引号，避免被 shell 当变量解析：\n\n```bash\nREDIS_01_PASSWORD='abc$123@xxx'\n```\n\n所以最稳妥的习惯是：**复杂密码默认用单引号包起来**。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 2:35 PM (UTC+8)</timestamp>\n<user_query>\n我的RabbitMQ也是在另外一台服务器上，容器安装的\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"RabbitMQ 在另一台服务器且容器安装，优先推荐用 RabbitMQ 自带的 `rabbitmq_prometheus` 插件，不需要额外 exporter。它默认暴露 `15692/metrics`，Prometheus 直接采集这台 RabbitMQ 服务器的内网 IP 即可。\n\n**Considering RabbitMQ configurations**\n\nI need to consider adding ports to the existing container configurations for RabbitMQ. I'm thinking about providing a helper document like rabbitmq-prometheus.docker-compose.example.yml, but I don't want to modify the current RabbitMQ setup directly. It might be better to create a new rabbitmq-exporter.docker-compose.yml file to include the management API and potentially both options. The user seems to want specific configurations, so I will update the prometheus.yml and possibly introduce the README to help clarify the process."},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","offset":65,"limit":25}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md","offset":200,"limit":50}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会把 Prometheus 的 RabbitMQ job 改成正式模板，并在 README 里补上 RabbitMQ 容器启用插件、端口映射、安全组和检查方式。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n- # RabbitMQ 开启 prometheus 插件后，默认指标路径通常是 /metrics。\n- # - job_name: rabbitmq\n- # static_configs:\n- # - targets:\n- # - 192.168.1.11:15692\n+ - job_name: rabbitmq\n+ static_configs:\n+ # RabbitMQ 开启 rabbitmq_prometheus 插件后，把内网 IP 和端口补到这里。\n+ # - targets:\n+ # - 172.31.5.134:15692\n+ # labels:\n+ # instance: rabbitmq-01\n \n # 自定义业务指标示例，业务服务需要暴露 /metrics。\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n Check Redis metrics:\n \n ```bash\n curl http://127.0.0.1:9121/metrics | grep redis_up\n curl http://127.0.0.1:9122/metrics | grep redis_up\n curl http://127.0.0.1:9123/metrics | grep redis_up\n ```\n+\n+## Monitor RabbitMQ Containers\n+\n+RabbitMQ should use the built-in `rabbitmq_prometheus` plugin when possible.\n+\n+Enable the plugin inside the RabbitMQ container:\n+\n+```bash\n+docker exec -it <rabbitmq-container-name> rabbitmq-plugins enable rabbitmq_prometheus\n+```\n+\n+Expose the Prometheus metrics port from the RabbitMQ container to the host:\n+\n+```yaml\n+ports:\n+ - \"15692:15692\"\n+```\n+\n+Check metrics on the RabbitMQ server:\n+\n+```bash\n+curl http://127.0.0.1:15692/metrics\n+```\n+\n+On AWS, allow inbound TCP `15692` only from the monitoring server private IP.\n+\n+Then add the RabbitMQ server private IP to the `rabbitmq` job in `config/prometheus/prometheus.yml`:\n+\n+```yaml\n+- targets:\n+ - 172.31.5.134:15692\n+ labels:\n+ instance: rabbitmq-01\n+```\n+\n+Reload Prometheus:\n+\n+```bash\n+curl -X POST http://127.0.0.1:9090/-/reload\n+```\n+\n+Check from Grafana Explore:\n+\n+```promql\n+up{job=\"rabbitmq\"}\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"RabbitMQ 的 Prometheus 配置和文档已经补上。我会做一次 Prometheus 配置校验。"},{"type":"tool_use","name":"Shell","input":{"command":"docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate RabbitMQ Prometheus config","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"RabbitMQ 推荐用它自带的 `rabbitmq_prometheus` 插件，不需要单独 exporter。我已经在 `config/prometheus/prometheus.yml` 里加了 `rabbitmq` job 模板，也更新了 `README.md`。\n\n在 RabbitMQ 那台服务器上执行：\n\n```bash\ndocker exec -it <rabbitmq容器名> rabbitmq-plugins enable rabbitmq_prometheus\n```\n\nRabbitMQ 容器需要映射端口：\n\n```yaml\nports:\n - \"15692:15692\"\n```\n\n检查：\n\n```bash\ncurl http://127.0.0.1:15692/metrics\n```\n\nPrometheus 服务器上配置：\n\n```yaml\n- job_name: rabbitmq\n static_configs:\n - targets:\n - 172.31.x.x:15692\n labels:\n instance: rabbitmq-01\n```\n\n然后 reload：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\nAWS 安全组只开放 `15692` 给 Prometheus 服务器内网 IP。Grafana Explore 查：\n\n```promql\nup{job=\"rabbitmq\"}\n```"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 2:43 PM (UTC+8)</timestamp>\n<user_query>\n我之前没有弄这个端口映射，怎么弄呢？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"你需要改 **RabbitMQ 那台服务器上的 RabbitMQ 容器 docker-compose.yml**，不是改监控服务器这边。\n\n找到 RabbitMQ 服务，增加端口映射：\n\n```yaml\nservices:\n rabbitmq:\n image: rabbitmq:3-management\n ports:\n - \"5672:5672\"\n - \"15672:15672\"\n - \"15692:15692\"\n```\n\n关键是这一行：\n\n```yaml\n- \"15692:15692\"\n```\n\n然后重建 RabbitMQ 容器：\n\n```bash\ndocker compose up -d\n```\n\n如果端口映射没生效，可以执行：\n\n```bash\ndocker compose up -d --force-recreate rabbitmq\n```\n\n启用插件：\n\n```bash\ndocker exec -it <rabbitmq容器名> rabbitmq-plugins enable rabbitmq_prometheus\n```\n\n检查宿主机是否能访问：\n\n```bash\ncurl http://127.0.0.1:15692/metrics\n```\n\n再从 Prometheus 服务器检查：\n\n```bash\ncurl http://RabbitMQ服务器内网IP:15692/metrics\n```\n\n如果你不想重新映射端口，也可以让 RabbitMQ 容器使用 `network_mode: host`，但不推荐，改端口映射更清晰、安全。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 2:44 PM (UTC+8)</timestamp>\n<user_query>\n我是线上在跑的RabbitMQ呢？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"线上正在跑也可以加端口映射，但要注意：**Docker 容器的端口映射不能在运行中直接修改**，必须重建容器。RabbitMQ 数据只要挂载了 volume，一般不会丢，但会有一次短暂重启。\n\n推荐操作窗口期执行：\n\n1. 先确认 RabbitMQ 有持久化 volume：\n\n```bash\ndocker compose ps\ndocker inspect <rabbitmq容器名> | grep -A 20 Mounts\n```\n\n2. 修改 RabbitMQ 的 `docker-compose.yml`，只新增这一行：\n\n```yaml\nports:\n - \"15692:15692\"\n```\n\n保留原来的 `5672`、`15672`，不要删。\n\n3. 启用插件：\n\n```bash\ndocker exec -it <rabbitmq容器名> rabbitmq-plugins enable rabbitmq_prometheus\n```\n\n4. 重建 RabbitMQ 容器：\n\n```bash\ndocker compose up -d --no-deps --force-recreate rabbitmq\n```\n\n其中 `rabbitmq` 要换成你 compose 里的服务名。\n\n5. 检查：\n\n```bash\ncurl http://127.0.0.1:15692/metrics\n```\n\n如果你现在不能接受重启，那就暂时没法通过宿主机端口暴露 `15692`。可以等维护窗口再做。\n\n更稳妥建议：先确认是否是集群 RabbitMQ。如果是集群，可以一台一台滚动重建；如果是单节点，会有短暂中断。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 2:50 PM (UTC+8)</timestamp>\n<user_query>\n没有其他方式吗？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"有，**不用改 RabbitMQ 容器端口映射** 的方式是：在 RabbitMQ 同一台服务器上跑一个独立的 RabbitMQ exporter，让它通过现有的管理端口 `15672` 读取数据，然后 exporter 自己暴露一个新端口给 Prometheus。\n\n前提是你现在 RabbitMQ 已经有管理插件，并且 `15672` 可在宿主机访问。大多数 `rabbitmq:*-management` 镜像都有。\n\n可以在 RabbitMQ 服务器上新增一个 exporter：\n\n```yaml\nservices:\n rabbitmq-exporter:\n image: kbudde/rabbitmq-exporter:latest\n container_name: rabbitmq-exporter\n restart: unless-stopped\n network_mode: host\n environment:\n RABBIT_URL: http://127.0.0.1:15672\n RABBIT_USER: your_user\n RABBIT_PASSWORD: your_password\n PUBLISH_PORT: 9419\n```\n\n启动后检查：\n\n```bash\ncurl http://127.0.0.1:9419/metrics\n```\n\nPrometheus 配置：\n\n```yaml\n- job_name: rabbitmq\n static_configs:\n - targets:\n - RabbitMQ服务器内网IP:9419\n labels:\n instance: rabbitmq-01\n```\n\nAWS 安全组开放：\n\n```text\n9419 只允许 Prometheus 服务器内网 IP 访问\n```\n\n这种方式优点是：**不用重建 RabbitMQ 容器，不影响线上 RabbitMQ**。\n\n缺点是：它依赖 RabbitMQ Management API，指标不如官方 `rabbitmq_prometheus` 插件原生，但对生产上“不想动 RabbitMQ 容器”的情况更安全。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 2:53 PM (UTC+8)</timestamp>\n<user_query>\n还有没有其他方式，动态更改映射端口\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"Docker **不支持动态修改已运行容器的端口映射**。`ports` 是容器创建时写进网络配置里的，运行中不能 `reload` 或 `update`。\n\n能选的方式只有这些：\n\n1. **重建 RabbitMQ 容器**\n - 正规方式\n - 加 `15692:15692`\n - 有短暂重启\n\n2. **不动 RabbitMQ，旁边跑 exporter**\n - 用 `kbudde/rabbitmq-exporter`\n - 通过现有 `15672` Management API 拉指标\n - 不影响 RabbitMQ 容器\n\n3. **宿主机做 TCP 转发**\n - 只有当 RabbitMQ 容器内部已经启用了 `15692`，但没映射出来时才有用\n - 需要知道容器 IP\n - 容器重启后 IP 可能变，不推荐生产长期使用\n\n例如临时转发：\n\n```bash\ndocker inspect -f '{{range.NetworkSettings.Networks}}{{.IPAddress}}{{end}}' <rabbitmq容器名>\n```\n\n假设容器 IP 是 `172.18.0.5`：\n\n```bash\nsocat TCP-LISTEN:15692,fork,reuseaddr TCP:172.18.0.5:15692\n```\n\n但这个方案不推荐，因为：\n\n- 容器 IP 可能变化\n- `socat` 进程挂了就没了\n- 不如 compose 端口映射可维护\n- 仍然要求 RabbitMQ 容器内部已经启用 `rabbitmq_prometheus`\n\n所以生产上我建议：\n\n```text\n不能重启 RabbitMQ -> 用 kbudde/rabbitmq-exporter\n能安排维护窗口 -> 重建 RabbitMQ 容器，映射 15692\n```\n\n如果你只是想临时验证，可以用 `socat`；如果要长期稳定监控，不建议。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 2:56 PM (UTC+8)</timestamp>\n<user_query>\n那就用kbudde/rabbitmq-exporter 的方式吧，我是生产环境，按企业生产标准给我弄\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会按“不改动线上 RabbitMQ 容器”的方式加一个独立 RabbitMQ exporter：固定配置模板、环境变量模板、Prometheus job、README 部署步骤和安全组说明，并避免把 RabbitMQ 密码写进 Compose。\n\n**Editing and verifying files**\n\nI need to edit some files and acknowledge a few things. I might use WebSearch to check kbudde/rabbitmq-exporter environment variables. I think of things like image, RABBIT_URL, RABBIT_USER, RABBIT_PASSWORD, and others, but I'm worried about using \"latest\" in production standards. I should verify current image tags. Maybe I can pull that through Docker Hub or try a shell command to avoid guessing versions. Searching the web for Docker Hub tags sounds like a good idea right now!"},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","offset":75,"limit":25}},{"type":"tool_use","name":"ReadFile","input":{"path":"/Users/ray/Documents/project/www/slot/monitor/README.md","offset":220,"limit":80}},{"type":"tool_use","name":"Glob","input":{"target_directory":"/Users/ray/Documents/project/www/slot/monitor","glob_pattern":"rabbitmq*"}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"**Searching for image tag**\n\nI need to determine the image tag, and it seems like using WebSearch could be a good approach. This way, I can gather relevant information quickly and effectively. I want to ensure I'm getting the right tag, and searching could clarify things for me. It's simple, yet effective! So, I'll proceed with that plan to find what I need and make sure it's accurate for the user."},{"type":"tool_use","name":"WebSearch","input":{"search_term":"kbudde rabbitmq-exporter Docker Hub tags version","explanation":"Check available stable image tags for production RabbitMQ exporter configuration."}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"WebSearch","input":{"search_term":"kbudde rabbitmq_exporter environment variables RABBIT_URL RABBIT_USER PUBLISH_PORT","explanation":"Confirm the RabbitMQ exporter environment variables before writing production compose template."}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我查了一下 `kbudde/rabbitmq-exporter` 的稳定版本和配置项，生产环境使用固定版本 `1.0.0`，通过 `RABBIT_URL/RABBIT_USER/RABBIT_PASSWORD/PUBLISH_PORT` 配置。我会新增独立 Compose 和 `.env.example`，并把 Prometheus target 改成 exporter 的 `9419`。\n\n**Updating RabbitMQ Exporter Setup**\n\nI need to edit and create an example for the `rabbitmq-exporter.docker-compose.yml` file. The Prometheus job should target 9419, not 15692. I’ll update the README to replace the official plugin with a no-restart exporter and recommend the official plugin if possible. I also need to ensure security with user permissions and password env variables and consider properly setting up the management user with monitoring tags. Lastly, I'll verify the network configurations for the exporter and RabbitMQ.\n**Considering Deployment Options**\n\nI need to present two options for the deployment configuration. For production standards, using host mode might be best, especially if 15672 is mapped to the host. I should add comments in the `docker-compose` environment file, noting any special characters in the password for the `.env` file that might require quotes. Additionally, I need to update the Prometheus config comments to ensure it targets 9419 accurately. Time to patch everything up!"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/rabbitmq-exporter.docker-compose.yml\n+services:\n+ rabbitmq-exporter:\n+ image: kbudde/rabbitmq-exporter:1.0.0\n+ container_name: rabbitmq-exporter\n+ restart: unless-stopped\n+ network_mode: host\n+ environment:\n+ RABBIT_URL: ${RABBIT_URL:?please set RABBIT_URL}\n+ RABBIT_USER: ${RABBIT_USER:?please set RABBIT_USER}\n+ RABBIT_PASSWORD: ${RABBIT_PASSWORD:?please set RABBIT_PASSWORD}\n+ PUBLISH_PORT: ${RABBITMQ_EXPORTER_PORT:-9419}\n+ PUBLISH_ADDR: ${RABBITMQ_EXPORTER_ADDR:-}\n+ logging:\n+ driver: json-file\n+ options:\n+ max-size: \"100m\"\n+ max-file: \"5\"\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Add File: /Users/ray/Documents/project/www/slot/monitor/rabbitmq-exporter.env.example\n+RABBIT_URL=http://127.0.0.1:15672\n+RABBIT_USER=monitoring\n+RABBIT_PASSWORD=change-me\n+RABBITMQ_EXPORTER_PORT=9419\n+RABBITMQ_EXPORTER_ADDR=\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml\n@@\n - job_name: rabbitmq\n static_configs:\n- # RabbitMQ 开启 rabbitmq_prometheus 插件后，把内网 IP 和端口补到这里。\n+ # RabbitMQ 所在服务器部署 rabbitmq-exporter 后，把内网 IP 和端口补到这里。\n # - targets:\n- # - 172.31.5.134:15692\n+ # - 172.31.5.134:9419\n # labels:\n # instance: rabbitmq-01\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"RabbitMQ exporter 文件已经创建。我会把 README 中原先官方插件方案改成生产优先的 `kbudde/rabbitmq-exporter` 方案，并保留必要的检查与安全组说明。"},{"type":"tool_use","name":"ApplyPatch","input":"*** Begin Patch\n*** Update File: /Users/ray/Documents/project/www/slot/monitor/README.md\n@@\n-## Monitor RabbitMQ Containers\n-\n-RabbitMQ should use the built-in `rabbitmq_prometheus` plugin when possible.\n-\n-Enable the plugin inside the RabbitMQ container:\n-\n-```bash\n-docker exec -it <rabbitmq-container-name> rabbitmq-plugins enable rabbitmq_prometheus\n-```\n-\n-Expose the Prometheus metrics port from the RabbitMQ container to the host:\n-\n-```yaml\n-ports:\n- - \"15692:15692\"\n-```\n-\n-Check metrics on the RabbitMQ server:\n-\n-```bash\n-curl http://127.0.0.1:15692/metrics\n-```\n-\n-On AWS, allow inbound TCP `15692` only from the monitoring server private IP.\n-\n-Then add the RabbitMQ server private IP to the `rabbitmq` job in `config/prometheus/prometheus.yml`:\n-\n-```yaml\n-- targets:\n- - 172.31.5.134:15692\n- labels:\n- instance: rabbitmq-01\n-```\n-\n-Reload Prometheus:\n-\n-```bash\n-curl -X POST http://127.0.0.1:9090/-/reload\n-```\n-\n-Check from Grafana Explore:\n-\n-```promql\n-up{job=\"rabbitmq\"}\n-```\n+## Monitor RabbitMQ Containers\n+\n+For a running production RabbitMQ container, use `kbudde/rabbitmq-exporter` to avoid recreating the RabbitMQ container just to add the official `15692` metrics port.\n+\n+Create a monitoring user in RabbitMQ. The user needs the `monitoring` tag:\n+\n+```bash\n+docker exec -it <rabbitmq-container-name> rabbitmqctl add_user monitoring 'replace-with-strong-password'\n+docker exec -it <rabbitmq-container-name> rabbitmqctl set_user_tags monitoring monitoring\n+docker exec -it <rabbitmq-container-name> rabbitmqctl set_permissions -p / monitoring \"^$\" \"^$\" \".*\"\n+```\n+\n+Copy `rabbitmq-exporter.docker-compose.yml` and `rabbitmq-exporter.env.example` to the RabbitMQ server:\n+\n+```bash\n+cp rabbitmq-exporter.env.example .env\n+```\n+\n+Edit `.env`:\n+\n+```bash\n+RABBIT_URL=http://127.0.0.1:15672\n+RABBIT_USER=monitoring\n+RABBIT_PASSWORD='replace-with-strong-password'\n+RABBITMQ_EXPORTER_PORT=9419\n+RABBITMQ_EXPORTER_ADDR=\n+```\n+\n+The exporter compose file uses `network_mode: host`, so `127.0.0.1:15672` refers to the RabbitMQ server host port. This assumes the RabbitMQ management port `15672` is already exposed on the host.\n+\n+Start the exporter:\n+\n+```bash\n+docker compose -f rabbitmq-exporter.docker-compose.yml up -d\n+```\n+\n+Check metrics on the RabbitMQ server:\n+\n+```bash\n+curl http://127.0.0.1:9419/metrics\n+```\n+\n+On AWS, allow inbound TCP `9419` only from the monitoring server private IP.\n+\n+Then add the RabbitMQ server private IP to the `rabbitmq` job in `config/prometheus/prometheus.yml`:\n+\n+```yaml\n+- targets:\n+ - 172.31.5.134:9419\n+ labels:\n+ instance: rabbitmq-01\n+```\n+\n+Reload Prometheus:\n+\n+```bash\n+curl -X POST http://127.0.0.1:9090/-/reload\n+```\n+\n+Check from Grafana Explore:\n+\n+```promql\n+up{job=\"rabbitmq\"}\n+```\n*** End Patch\n"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"我会校验新增 RabbitMQ exporter 的 Compose 文件和 Prometheus 配置，确保生产模板可以正常解析。\n\n**Validating environment settings**\n\nI need to validate my environment settings first. It seems okay to include .gitignore for environment examples, but I noticed that it doesn’t ignore the RabbitMQ environment example. I should definitely look into how to validate this using the shell and make sure everything is set up correctly. It’s tricky, and I want to get it right so everything functions as it should!"},{"type":"tool_use","name":"Shell","input":{"command":"RABBIT_URL='http://127.0.0.1:15672' RABBIT_USER='monitoring' RABBIT_PASSWORD='temporary-password' RABBITMQ_EXPORTER_PORT='9419' RABBITMQ_EXPORTER_ADDR='' docker compose -f \"rabbitmq-exporter.docker-compose.yml\" config >/dev/null && docker run --rm --entrypoint promtool -v \"$(pwd)/config/prometheus:/etc/prometheus:ro\" prom/prometheus:v2.55.1 check config /etc/prometheus/prometheus.yml","working_directory":"/Users/ray/Documents/project/www/slot/monitor","description":"Validate RabbitMQ exporter production config","block_until_ms":30000}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"tool_use","name":"ReadLints","input":{"paths":["/Users/ray/Documents/project/www/slot/monitor/rabbitmq-exporter.docker-compose.yml","/Users/ray/Documents/project/www/slot/monitor/rabbitmq-exporter.env.example","/Users/ray/Documents/project/www/slot/monitor/config/prometheus/prometheus.yml","/Users/ray/Documents/project/www/slot/monitor/README.md"]}}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"已按生产方式加好了，不需要改动正在跑的 RabbitMQ 容器。\n\n新增文件：\n\n```text\nrabbitmq-exporter.docker-compose.yml\nrabbitmq-exporter.env.example\n```\n\n这个 exporter 使用固定版本：\n\n```text\nkbudde/rabbitmq-exporter:1.0.0\n```\n\n在 RabbitMQ 服务器上创建监控用户：\n\n```bash\ndocker exec -it <rabbitmq容器名> rabbitmqctl add_user monitoring '强密码'\ndocker exec -it <rabbitmq容器名> rabbitmqctl set_user_tags monitoring monitoring\ndocker exec -it <rabbitmq容器名> rabbitmqctl set_permissions -p / monitoring \"^$\" \"^$\" \".*\"\n```\n\n部署 exporter：\n\n```bash\ncp rabbitmq-exporter.env.example .env\n```\n\n`.env` 示例：\n\n```bash\nRABBIT_URL=http://127.0.0.1:15672\nRABBIT_USER=monitoring\nRABBIT_PASSWORD='强密码'\nRABBITMQ_EXPORTER_PORT=9419\nRABBITMQ_EXPORTER_ADDR=\n```\n\n启动：\n\n```bash\ndocker compose -f rabbitmq-exporter.docker-compose.yml up -d\n```\n\n检查：\n\n```bash\ncurl http://127.0.0.1:9419/metrics\n```\n\nPrometheus 里用 RabbitMQ 服务器内网 IP：\n\n```yaml\n- targets:\n - 172.31.x.x:9419\n labels:\n instance: rabbitmq-01\n```\n\nAWS 安全组只开放 `9419` 给 Prometheus 服务器内网 IP。\n\n我已校验 RabbitMQ exporter Compose 和 Prometheus 配置通过。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 3:00 PM (UTC+8)</timestamp>\n<user_query>\nRABBITMQ_EXPORTER_ADDR= 这个填什么？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"`RABBITMQ_EXPORTER_ADDR=` 可以留空。\n\n它表示 exporter 监听在哪个地址上：\n\n```bash\nRABBITMQ_EXPORTER_ADDR=\n```\n\n留空时通常等同于监听所有网卡，也就是：\n\n```text\n0.0.0.0:9419\n```\n\n这样 Prometheus 服务器才能通过 RabbitMQ 服务器内网 IP 访问：\n\n```text\nhttp://RabbitMQ服务器内网IP:9419/metrics\n```\n\n生产环境建议：\n\n```bash\nRABBITMQ_EXPORTER_ADDR=\nRABBITMQ_EXPORTER_PORT=9419\n```\n\n然后靠 **AWS 安全组** 限制访问来源，只允许 Prometheus 服务器内网 IP 访问 `9419`。\n\n不要填 `127.0.0.1`，否则 Prometheus 服务器访问不到。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 3:08 PM (UTC+8)</timestamp>\n<user_query>\ndashboard选择那一个，你推荐一下\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"RabbitMQ 用 `kbudde/rabbitmq-exporter` 的话，推荐这个：\n\n```text\nRabbitMQ Monitoring\nDashboard ID: 4279\n```\n\n导入：\n\n```text\nGrafana -> Dashboards -> New -> Import -> 4279\n```\n\n数据源选择：\n\n```text\nPrometheus\n```\n\n备选：\n\n```text\nRabbitMQ Exporter\nDashboard ID: 10991\n```\n\n但 `10991` 更偏 RabbitMQ 官方 Prometheus 插件的指标，和你现在的 `kbudde/rabbitmq-exporter` 不一定完全匹配。\n\n所以我建议先用：\n\n```text\n4279\n```\n\n导入后在 Grafana Explore 先确认有数据：\n\n```promql\nup{job=\"rabbitmq\"}\n```\n\n以及：\n\n```promql\nrabbitmq_up\n```"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 3:11 PM (UTC+8)</timestamp>\n<user_query>\n通过哪些指标来评估呢？\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"RabbitMQ 重点看这几类指标：\n\n**1. 队列积压**\n\n```promql\nrabbitmq_queue_messages\nrabbitmq_queue_messages_ready\nrabbitmq_queue_messages_unacknowledged\n```\n\n重点关注：\n\n- `ready` 持续上涨：消费者处理不过来\n- `unacknowledged` 很高：消费者拿了消息但没有 ack，可能卡住\n- 总消息数持续上涨：生产速度大于消费速度\n\n**2. 消费能力**\n\n```promql\nrabbitmq_queue_messages_published_total\nrabbitmq_queue_messages_delivered_total\nrabbitmq_queue_messages_acked_total\n```\n\n看发布、投递、ack 的速率：\n\n```promql\nrate(rabbitmq_queue_messages_published_total[5m])\nrate(rabbitmq_queue_messages_acked_total[5m])\n```\n\n如果发布速率长期大于 ack 速率，队列会积压。\n\n**3. 连接和通道**\n\n```promql\nrabbitmq_connections\nrabbitmq_channels\nrabbitmq_consumers\n```\n\n重点看：\n\n- 连接数突然暴涨\n- channel 数异常升高\n- consumer 数变成 0\n\n**4. 节点资源**\n\n```promql\nrabbitmq_node_mem_used\nrabbitmq_node_mem_limit\nrabbitmq_node_disk_free\nrabbitmq_node_disk_free_limit\n```\n\n重点看：\n\n```promql\nrabbitmq_node_mem_used / rabbitmq_node_mem_limit\n```\n\n内存太高 RabbitMQ 会触发 flow control。\n\n**5. RabbitMQ 是否存活**\n\n```promql\nup{job=\"rabbitmq\"}\nrabbitmq_up\n```\n\n建议先设置这些告警：\n\n- `up{job=\"rabbitmq\"} == 0`\n- 某个队列 `ready` 消息数持续超过阈值\n- `unacknowledged` 持续过高\n- `consumers == 0`\n- 内存使用率超过 `80%`\n- 磁盘可用空间低于阈值\n\n企业生产里，最核心的是：\n\n```text\n队列积压、消费者数量、ack 速率、内存、磁盘、连接数\n```"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"[Image]\n<image_files>\nThe following images were provdied by the user and saved to the workspace for future use:\n1. /Users/ray/.cursor/projects/Users-ray-Documents-project-www-slot-monitor/assets/image-e0127ff8-a628-49db-8dc8-e5d55b027a77.png\n\nThese images can be copied for use in other locations.\n</image_files>\n<timestamp>Friday, May 8, 2026, 3:13 PM (UTC+8)</timestamp>\n<user_query>\n这是面板的信息\n</user_query>"}]}}
|
||
{"role":"assistant","message":{"content":[{"type":"text","text":"这个面板现在是正常有数据的，关键状态看起来是：\n\n- **Up**：绿色，RabbitMQ exporter 正常，RabbitMQ 可访问\n- **Disk limit alarm = 0**：没有磁盘水位告警\n- **Memory limit alarm = 0**：没有内存水位告警\n- **Nodes Up = 100%**：节点在线\n- **connections / channels / consumers**：有连接、channel、consumer 数据\n- **Messages per Queue**：当前队列消息量不高，没有明显积压\n- **Memory usage**：大约 `4%`，很低\n- **Disk Free**：大约 `47GB`，目前正常\n\n你现在最需要关注这几个图：\n\n```text\nMessages per Queue\nMessages status\nConnections, channels and consumers\nMemory usage\nDisk Free\n```\n\n判断标准：\n\n- `Messages per Queue` 持续上涨：队列开始积压\n- `messages_ready` 高：消息等着消费\n- `messages_unacknowledged` 高：消费者拿了但没确认，可能卡住\n- `consumers` 变成 0：消费者掉线\n- `Memory usage` 接近 80%：风险高\n- `Disk Free` 持续下降：需要关注磁盘\n\n从你这张图看，目前 RabbitMQ 整体状态是健康的。"}]}}
|
||
{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Friday, May 8, 2026, 5:08 PM (UTC+8)</timestamp>\n<user_query>\n我的业务相关指标怎么放到这个里面？ 比如http请求数量。我是php webman框架\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"业务指标接入 Prometheus 的核心是：你的 Webman 应用自己暴露一个 `/metrics` HTTP 接口，返回 Prometheus 文本格式；Prometheus 再像采集 Redis/MySQL 一样定时抓这个接口。Webman 是常驻进程多 worker，建议用 Redis 作为指标存储，避免每个 worker 内存里各算各的。\n可以接入。你的 Webman 业务服务要做两件事：\n\n1. Webman 暴露 `/metrics`\n2. Prometheus 配置抓取这个 `/metrics`\n\n## Webman 侧\n\n安装 Prometheus PHP 客户端：\n\n```bash\ncomposer require promphp/prometheus_client_php\n```\n\n建议用 Redis 存指标，因为 Webman 是多 worker 常驻进程，用内存统计会分散到不同 worker。\n\n示例：统计 HTTP 请求数量。\n\n```php\nuse Prometheus\\CollectorRegistry;\nuse Prometheus\\Storage\\Redis;\n\nRedis::setDefaultOptions([\n 'host' => '127.0.0.1',\n 'port' => 6379,\n 'password' => null,\n 'database' => 0,\n]);\n\n$registry = new CollectorRegistry(new Redis());\n\n$counter = $registry->getOrRegisterCounter(\n 'webman',\n 'http_requests_total',\n 'Total HTTP requests',\n ['method', 'path', 'status']\n);\n\n$counter->inc([\n $request->method(),\n $request->path(),\n (string) $response->getStatusCode(),\n]);\n```\n\n再加一个 `/metrics` 路由：\n\n```php\nuse Prometheus\\RenderTextFormat;\n\nRoute::get('/metrics', function () use ($registry) {\n $renderer = new RenderTextFormat();\n\n return response(\n $renderer->render($registry->getMetricFamilySamples()),\n 200,\n ['Content-Type' => RenderTextFormat::MIME_TYPE]\n );\n});\n```\n\n生产环境注意：`path` 不要直接用带 ID 的路径，比如 `/user/123`、`/order/999`，否则指标维度会爆炸。最好归一化成 `/user/{id}`、`/order/{id}`。\n\n## Prometheus 侧\n\n在 `config/prometheus/prometheus.yml` 里加：\n\n```yaml\n- job_name: webman\n metrics_path: /metrics\n static_configs:\n - targets:\n - 172.31.x.x:8787\n labels:\n instance: webman-api-01\n app: slot-api\n```\n\n这里的 `172.31.x.x:8787` 换成你的 Webman 服务内网 IP 和端口。\n\n改完 reload：\n\n```bash\ncurl -X POST http://127.0.0.1:9090/-/reload\n```\n\nGrafana Explore 查询：\n\n```promql\nrate(webman_http_requests_total[5m])\n```\n\n常用业务面板指标：\n\n```promql\nsum(rate(webman_http_requests_total[5m]))\n```\n\n```promql\nsum(rate(webman_http_requests_total[5m])) by (path)\n```\n\n```promql\nsum(rate(webman_http_requests_total{status=~\"5..\"}[5m])) by (path)\n```\n\n后续可以继续加接口耗时 Histogram、订单数、充值成功数、队列积压、第三方接口失败数等业务指标。\n\n**Considering Prometheus configuration**\n\nI’m thinking about adding a Prometheus config and whether I should edit a file with the business job active. I'll need to figure out the app's IP and port, which I currently don't know. The user seems to need clear instructions, so I might consider creating a \"webman-prometheus-example.md\" file. I can also offer code snippets while including a warning to protect the /metrics endpoint. If the app is on an external server, I should provide specific configurations.\n**Exploring Grafana dashboards**\n\nI need to mention that I can create custom Grafana panels using PromQL. For example, I might use snippets like `rate(webman_http_requests_total[5m])`, or `sum(rate(...)) by (path,status)`, and also include `histogram_quantile(0.95, sum(rate(webman_http_request_duration_seconds_bucket[5m])) by (le,path))`.\n\nI should suggest some code such as `composer require promphp/prometheus_client_php`, plus creating a `support/Prometheus.php` file and setting up the MetricsMiddleware at the `/metrics` route. However, I won't write the actual files since this isn't an app workspace, but I can provide examples. I think the response should be concise yet detailed enough!"}]}}
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{"role":"user","message":{"content":[{"type":"text","text":"<timestamp>Saturday, May 9, 2026, 2:53 PM (UTC+8)</timestamp>\n<user_query>\n图表里面展示的时间，不是以服务器时间为标准码？\n</user_query>"}]}}
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{"role":"assistant","message":{"content":[{"type":"text","text":"Grafana 图表里展示的时间，**默认不是以服务器时间为准**，而是以你浏览器所在电脑的时区为准。\n\n也就是：\n\n```text\nGrafana 展示时间 = 浏览器时区\nPrometheus 存储时间 = UTC 时间戳\n服务器系统时间 = 采集时的时间来源\n```\n\n你可以在 Grafana 右上角时间范围那里设置时区：\n\n```text\nDashboard settings -> Time options -> Timezone\n```\n\n常见选项：\n\n```text\nDefault / Browser time\nUTC\nAsia/Shanghai\n```\n\n如果你希望所有人看到的都是中国时间，建议设置为：\n\n```text\nAsia/Shanghai\n```\n\n也可以改 Grafana 全局默认时区：\n\n```text\nAdministration -> Default preferences -> Timezone\n```\n\n选择：\n\n```text\nAsia/Shanghai\n```\n\n补充一下：Prometheus 指标本身是按 Unix 时间戳存的，本质上没有“本地时区”概念。Grafana 只是展示时把时间转换成你设置的时区。"}]}} |