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Check health, performance metrics, logs, and resource usage. Use when users want to check service status, view metrics, monitor performance, or verify deployments are healthy.\nlicense: MIT\ncompatibility: Requires Render MCP tools or CLI\nmetadata:\n  author: Render\n  version: \"1.0.0\"\n  category: monitoring\n---\n\n# Monitor Render Services\n\nReal-time monitoring of Render services including health checks, performance metrics, and logs.\n\n## When to Use This Skill\n\nActivate this skill when users want to:\n- Check if services are healthy\n- View performance metrics\n- Monitor logs\n- Verify a deployment is working\n- Investigate slow performance\n- Check database health\n\n## Prerequisites\n\n**MCP tools (preferred):** Test with `list_services()` - provides structured data\n\n**CLI (fallback):** `render --version` - use if MCP tools unavailable\n\n**Authentication:** For MCP, use an API key (set in the MCP config or via the `RENDER_API_KEY` env var, depending on tool). For CLI, verify with `render whoami -o json`.\n\n**Workspace:** `get_selected_workspace()` or `render workspace current -o json`\n\n> **Note:** MCP tools require the Render MCP server. If unavailable, use the CLI for status and logs; metrics and database queries require MCP.\n\n## MCP Setup\n\nIf `list_services()` fails, set up the Render MCP server. For detailed per-tool walkthroughs, see **render-mcp**.\n\n**Quick setup:** Add the Render MCP server to your AI tool's MCP config:\n- **URL:** `https:\u002F\u002Fmcp.render.com\u002Fmcp`\n- **Auth header:** `Authorization: Bearer \u003CYOUR_API_KEY>`\n- **API key:** `https:\u002F\u002Fdashboard.render.com\u002Fu\u002F*\u002Fsettings#api-keys`\n\nAfter configuring, restart your tool and retry `list_services()`. Then set your workspace with `list_workspaces()` \u002F `get_selected_workspace()`.\n\n---\n\n## Quick Health Check\n\nRun these 5 checks to assess service health:\n\n```\n# 1. Check service status\nlist_services()\n\n# 2. Check latest deploy\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 1)\n\n# 3. Check for errors\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 20)\n\n# 4. Check resource usage\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\n\n# 5. Check latency\nget_metrics(resourceId: \"\u003Cservice-id>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\n```\n\n---\n\n## Service Health\n\n### Check Status\n\n```\nlist_services()\n```\n\n```\nget_service(serviceId: \"\u003Cid>\")\n```\n\n### Check Deployments\n\n```\nlist_deploys(serviceId: \"\u003Cservice-id>\", limit: 5)\n```\n\n| Status | Meaning |\n|--------|---------|\n| `live` | Deployment successful |\n| `build_in_progress` | Building |\n| `build_failed` | Build failed |\n| `deactivated` | Replaced by newer deploy |\n\n### Check Errors\n\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 50)\n```\n\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], statusCode: [\"500\", \"502\", \"503\"], limit: 50)\n```\n\n---\n\n## Performance Metrics\n\n### CPU & Memory\n\n```\nget_metrics(\n  resourceId: \"\u003Cservice-id>\",\n  metricTypes: [\"cpu_usage\", \"memory_usage\", \"cpu_limit\", \"memory_limit\"]\n)\n```\n\n| Metric | Healthy | Warning | Critical |\n|--------|---------|---------|----------|\n| CPU | \u003C70% | 70-85% | >85% |\n| Memory | \u003C80% | 80-90% | >90% |\n\n### HTTP Latency\n\n```\nget_metrics(\n  resourceId: \"\u003Cservice-id>\",\n  metricTypes: [\"http_latency\"],\n  httpLatencyQuantile: 0.95\n)\n```\n\n| p95 Latency | Status |\n|-------------|--------|\n| \u003C200ms | Excellent |\n| 200-500ms | Good |\n| 500ms-1s | Concerning |\n| >1s | Problem |\n\n### Request Count\n\n```\nget_metrics(\n  resourceId: \"\u003Cservice-id>\",\n  metricTypes: [\"http_request_count\"]\n)\n```\n\n### Filter by Endpoint\n\n```\nget_metrics(\n  resourceId: \"\u003Cservice-id>\",\n  metricTypes: [\"http_latency\"],\n  httpPath: \"\u002Fapi\u002Fusers\"\n)\n```\n\nDetailed metrics guide: [references\u002Fmetrics-guide.md](references\u002Fmetrics-guide.md)\n\n---\n\n## Database Monitoring\n\n### PostgreSQL Status\n\n```\nlist_postgres_instances()\nget_postgres(postgresId: \"\u003Cpostgres-id>\")\n```\n\n### Connection Count\n\n```\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\n```\n\n### Query Database\n\n```\nquery_render_postgres(\n  postgresId: \"\u003Cpostgres-id>\",\n  sql: \"SELECT state, count(*) FROM pg_stat_activity GROUP BY state\"\n)\n```\n\n### Find Slow Queries\n\n```\nquery_render_postgres(\n  postgresId: \"\u003Cpostgres-id>\",\n  sql: \"SELECT query, mean_exec_time FROM pg_stat_statements ORDER BY mean_exec_time DESC LIMIT 10\"\n)\n```\n\n### Key-Value Store\n\n```\nlist_key_value()\nget_key_value(keyValueId: \"\u003Ckv-id>\")\n```\n\n---\n\n## Log Monitoring\n\n### Recent Logs\n\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], limit: 100)\n```\n\n### Error Logs\n\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], level: [\"error\"], limit: 50)\n```\n\n### Search Logs\n\n```\nlist_logs(resource: [\"\u003Cservice-id>\"], text: [\"timeout\", \"error\"], limit: 50)\n```\n\n### Filter by Time\n\n```\nlist_logs(\n  resource: [\"\u003Cservice-id>\"],\n  startTime: \"2024-01-15T10:00:00Z\",\n  endTime: \"2024-01-15T11:00:00Z\"\n)\n```\n\n### Stream Logs (CLI)\n\n```bash\nrender logs -r \u003Cservice-id> --tail -o text\n```\n\n---\n\n## Quick Reference\n\n### MCP Tools\n\n```\n# Services\nlist_services()\nget_service(serviceId: \"\u003Cid>\")\nlist_deploys(serviceId: \"\u003Cid>\", limit: 5)\n\n# Logs\nlist_logs(resource: [\"\u003Cid>\"], level: [\"error\"], limit: 100)\nlist_logs(resource: [\"\u003Cid>\"], text: [\"search\"], limit: 50)\n\n# Metrics\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"cpu_usage\", \"memory_usage\"])\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_latency\"], httpLatencyQuantile: 0.95)\nget_metrics(resourceId: \"\u003Cid>\", metricTypes: [\"http_request_count\"])\n\n# Database\nlist_postgres_instances()\nget_postgres(postgresId: \"\u003Cid>\")\nquery_render_postgres(postgresId: \"\u003Cid>\", sql: \"SELECT ...\")\nget_metrics(resourceId: \"\u003Cpostgres-id>\", metricTypes: [\"active_connections\"])\n\n# Key-Value\nlist_key_value()\nget_key_value(keyValueId: \"\u003Cid>\")\n```\n\n### CLI Commands (Fallback)\n\nUse these if MCP tools are unavailable:\n\n```bash\n# Service status\nrender services -o json\nrender services instances \u003Cservice-id>\n\n# Deployments\nrender deploys list \u003Cservice-id> -o json\n\n# Logs\nrender logs -r \u003Cservice-id> --tail -o text          # 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Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1853,1856,1859,1860],{"name":1854,"slug":1855,"type":15},"Cloudflare","cloudflare",{"name":1857,"slug":1858,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":1703,"slug":1704,"type":15},{"name":26,"slug":27,"type":15},"2026-04-12T05:07:14.275118",{"slug":1863,"name":1863,"fn":1864,"description":1865,"org":1866,"tags":1867,"stars":1811,"repoUrl":1812,"updatedAt":1880},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1868,1871,1874,1877],{"name":1869,"slug":1870,"type":15},"Productivity","productivity",{"name":1872,"slug":1873,"type":15},"Project Management","project-management",{"name":1875,"slug":1876,"type":15},"Strategy","strategy",{"name":1878,"slug":1879,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1882,"name":1882,"fn":1883,"description":1884,"org":1885,"tags":1886,"stars":1811,"repoUrl":1812,"updatedAt":1892},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1887,1888,1890,1891],{"name":1664,"slug":1665,"type":15},{"name":1889,"slug":1882,"type":15},"Figma",{"name":1722,"slug":1723,"type":15},{"name":1827,"slug":1828,"type":15},"2026-04-12T05:06:47.939943",{"slug":1894,"name":1894,"fn":1895,"description":1896,"org":1897,"tags":1898,"stars":1811,"repoUrl":1812,"updatedAt":1906},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1899,1900,1903,1904,1905],{"name":1664,"slug":1665,"type":15},{"name":1901,"slug":1902,"type":15},"Design System","design-system",{"name":1889,"slug":1882,"type":15},{"name":1722,"slug":1723,"type":15},{"name":1731,"slug":1732,"type":15},"2026-05-10T05:59:52.971881",{"slug":1908,"name":1908,"fn":1909,"description":1910,"org":1911,"tags":1912,"stars":1811,"repoUrl":1812,"updatedAt":1920},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1913,1914,1915,1918,1919],{"name":1664,"slug":1665,"type":15},{"name":1901,"slug":1902,"type":15},{"name":1916,"slug":1917,"type":15},"Documentation","documentation",{"name":1889,"slug":1882,"type":15},{"name":1722,"slug":1723,"type":15},"2026-05-16T06:07:47.821474",{"slug":1922,"name":1922,"fn":1923,"description":1924,"org":1925,"tags":1926,"stars":1811,"repoUrl":1812,"updatedAt":1932},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1927,1928,1929,1930,1931],{"name":1664,"slug":1665,"type":15},{"name":1889,"slug":1882,"type":15},{"name":1722,"slug":1723,"type":15},{"name":1731,"slug":1732,"type":15},{"name":1809,"slug":1810,"type":15},"2026-05-16T06:07:40.583615",{"slug":1934,"name":1934,"fn":1935,"description":1936,"org":1937,"tags":1938,"stars":1811,"repoUrl":1812,"updatedAt":1947},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1939,1942,1943,1946],{"name":1940,"slug":1941,"type":15},"Animation","animation",{"name":1844,"slug":1845,"type":15},{"name":1944,"slug":1945,"type":15},"Creative","creative",{"name":1664,"slug":1665,"type":15},"2026-05-02T05:31:48.48485",{"slug":1949,"name":1949,"fn":1950,"description":1951,"org":1952,"tags":1953,"stars":1811,"repoUrl":1812,"updatedAt":1963},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1954,1955,1956,1959,1962],{"name":1944,"slug":1945,"type":15},{"name":1664,"slug":1665,"type":15},{"name":1957,"slug":1958,"type":15},"Image Generation","image-generation",{"name":1960,"slug":1961,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]