[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-elastic-k8s-blast-radius":3,"mdc-k82lk9-key":33,"related-repo-elastic-k8s-blast-radius":838,"related-org-elastic-k8s-blast-radius":914},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":29,"sourceUrl":31,"mdContent":32},"k8s-blast-radius","assess Kubernetes node failure impact","Assess the impact of a Kubernetes node going offline — which deployments lose all replicas (full outage), which lose partial capacity (degraded), which are unaffected, and whether the cluster has enough spare capacity to reschedule the lost pods. Use when the user asks \"what happens if node X goes down\", \"what's the blast radius of draining this node\", \"can I safely maintain node Y\", \"what's running on this node\", \"if I evict this node what breaks\", or is planning node maintenance, a cluster upgrade, or investigating an actual node failure. Requires Kubernetes (kubeletstats metrics) and Elastic APM for downstream service impact — do not trigger for non-K8s deployments.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"elastic","Elastic","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Felastic.png",[12,16,17,20],{"name":13,"slug":14,"type":15},"Observability","observability","tag",{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},"Kubernetes","kubernetes",{"name":21,"slug":22,"type":15},"Risk Assessment","risk-assessment",10,"https:\u002F\u002Fgithub.com\u002Felastic\u002Fexample-mcp-app-observability","2026-07-12T07:49:25.645103",null,7,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":26},[],"https:\u002F\u002Fgithub.com\u002Felastic\u002Fexample-mcp-app-observability\u002Ftree\u002FHEAD\u002Fskills\u002Fk8s-blast-radius","---\nname: k8s-blast-radius\ndescription: >\n  Assess the impact of a Kubernetes node going offline — which deployments lose all replicas (full outage),\n  which lose partial capacity (degraded), which are unaffected, and whether the cluster has enough spare\n  capacity to reschedule the lost pods. Use when the user asks \"what happens if node X goes down\",\n  \"what's the blast radius of draining this node\", \"can I safely maintain node Y\", \"what's running on\n  this node\", \"if I evict this node what breaks\", or is planning node maintenance, a cluster upgrade, or\n  investigating an actual node failure. Requires Kubernetes (kubeletstats metrics) and Elastic APM for\n  downstream service impact — do not trigger for non-K8s deployments.\n---\n\n# Kubernetes Blast Radius\n\nAnswers hypothetical and real node-failure questions with data. Categorizes every deployment touching the\nnode into full-outage \u002F degraded \u002F unaffected, totals up memory at risk, and checks whether the remaining\ncluster has capacity to reschedule.\n\n## Prerequisites\n\n| Signal | Required? | What you get without it |\n|--------|-----------|--------------------------|\n| Kubernetes (kubeletstats) | **Required** | Tool does not apply — suggest the user instrument with kubeletstats receiver. |\n| Elastic APM | Optional | Core node-impact analysis still works. The `downstream_services` section (user-facing services in affected namespaces) is omitted with a note. |\n\nIf the user is not running Kubernetes, this tool does not apply. But a Kubernetes-only customer (no APM)\nstill gets the full pod-level impact assessment and rescheduling feasibility — the majority of the value.\n\n## Tools\n\n| Tool | Purpose |\n|------|---------|\n| `k8s-blast-radius` | Run the impact assessment for a specific node. |\n| `apm-health-summary` | Before: check which services are already degraded. |\n| `apm-service-dependencies` | After: map downstream ripple for affected services. |\n| `ml-anomalies` | After: is unusual behavior already showing up on affected workloads? |\n\n## How to call k8s-blast-radius\n\n```json\n{\n  \"node\": \"gke-prod-pool-1-abc123\",\n  \"cluster\": \"prod-us-east\",\n  \"layout\": \"summary\"\n}\n```\n\nParameter-filling guidance:\n\n- **`node`**: **must be exact**. Matched literally against `kubernetes.node.name`. If the user describes a\n  node ambiguously (\"the noisy node\", \"the one running frontend\"), ask them to confirm the exact node name\n  before calling. Do not guess.\n- **`cluster`**: required when the same node name might exist in multiple clusters — auto-generated cloud\n  node names (GKE \u002F EKS) sometimes collide. Resolves fuzzily against `k8s.cluster.name` (OTel) \u002F\n  `orchestrator.cluster.name` (ECS); on miss the response includes `cluster_candidates`. Omit for\n  single-cluster deployments.\n- **`layout`**: default `summary` (compact, collapsible sections). Use `radial` when the user wants a visual\n  \"impact-by-proximity\" diagram.\n\n## After the tool returns\n\nResponse shape:\n- `status`: `AT RISK` (full outage), `PARTIAL RISK` (degraded only), or `SAFE` (no impact).\n- `data_coverage`: which backends contributed (always `kubernetes: true`; `apm: true|false`).\n- `pods_at_risk`: count of pods on the node.\n- `full_outage[]`: deployments losing all replicas — lead with these.\n- `degraded[]`: deployments losing partial capacity.\n- `unaffected` \u002F `unaffected_count`: deployments not touching the node.\n- `rescheduling`: memory required vs available, and whether it's feasible.\n- `downstream_services[]` (only if APM present): user-facing services whose namespace is affected.\n- `downstream_services_note` (only if APM absent): explains the gap.\n- `investigation_actions`: next-step prompts surfaced as click-to-send buttons in the view (includes a SPOF\n  callout when a single-replica deployment is implicated).\n- `render_instructions`: HTML render spec — let the inline MCP App view handle visualization (floating\n  summary card, radial affected-deployment sweep, safe-zone arc, hover tooltips).\n\nIgnore `_setup_notice` if present — it's view-side chrome (welcome banner) that the UI handles. Don't\necho or summarize it in chat.\n\nNarrate in this order:\n\n1. **Headline status**: \"AT RISK — 3 deployments lose all replicas if gke-prod-pool-1-abc123 goes offline.\"\n2. **Full outage list**: name the deployments. These are the critical ones.\n3. **Degraded list**: name them, note surviving replica counts.\n4. **Rescheduling feasibility**: \"Cluster has X GB available across N nodes to absorb Y GB required — safe\n   \u002F not safe \u002F marginal.\"\n5. **Downstream services** (if APM present): name the services in affected namespaces that might be\n   user-visible.\n6. **Recommend action**: for AT RISK + infeasible reschedule, \"don't drain this node without scaling up.\"\n   For PARTIAL RISK + feasible, \"safe to drain with PodDisruptionBudgets in place.\"\n\n## Key principles\n\n- **Hypothetical framing.** Unless the node is actually down, always present results as \"if X goes offline,\n  then Y\" — not as current reality.\n- **Rescheduling feasibility is a heuristic.** It compares memory only — doesn't account for CPU, storage,\n  affinity rules, taints, or PodDisruptionBudgets. Note this caveat.\n- **Full-outage >> degraded.** A deployment with 1 replica on the node is a full outage; a deployment with\n  3 replicas losing 1 is degraded. Treat them very differently in recommendations.\n- **Downstream services matter.** Even if a deployment is degraded not down, user-facing services might see\n  tail latency. Mention the downstream APM services.\n- **Don't conflate \"at risk\" with \"broken.\"** The status reflects *potential* impact. The node may be fine.\n",{"data":34,"body":35},{"name":4,"description":6},{"type":36,"children":37},"root",[38,47,53,60,142,147,153,242,248,398,403,501,507,512,683,696,701,765,771,832],{"type":39,"tag":40,"props":41,"children":43},"element","h1",{"id":42},"kubernetes-blast-radius",[44],{"type":45,"value":46},"text","Kubernetes Blast Radius",{"type":39,"tag":48,"props":49,"children":50},"p",{},[51],{"type":45,"value":52},"Answers hypothetical and real node-failure questions with data. Categorizes every deployment touching the\nnode into full-outage \u002F degraded \u002F unaffected, totals up memory at risk, and checks whether the remaining\ncluster has capacity to reschedule.",{"type":39,"tag":54,"props":55,"children":57},"h2",{"id":56},"prerequisites",[58],{"type":45,"value":59},"Prerequisites",{"type":39,"tag":61,"props":62,"children":63},"table",{},[64,88],{"type":39,"tag":65,"props":66,"children":67},"thead",{},[68],{"type":39,"tag":69,"props":70,"children":71},"tr",{},[72,78,83],{"type":39,"tag":73,"props":74,"children":75},"th",{},[76],{"type":45,"value":77},"Signal",{"type":39,"tag":73,"props":79,"children":80},{},[81],{"type":45,"value":82},"Required?",{"type":39,"tag":73,"props":84,"children":85},{},[86],{"type":45,"value":87},"What you get without it",{"type":39,"tag":89,"props":90,"children":91},"tbody",{},[92,115],{"type":39,"tag":69,"props":93,"children":94},{},[95,101,110],{"type":39,"tag":96,"props":97,"children":98},"td",{},[99],{"type":45,"value":100},"Kubernetes (kubeletstats)",{"type":39,"tag":96,"props":102,"children":103},{},[104],{"type":39,"tag":105,"props":106,"children":107},"strong",{},[108],{"type":45,"value":109},"Required",{"type":39,"tag":96,"props":111,"children":112},{},[113],{"type":45,"value":114},"Tool does not apply — suggest the user instrument with kubeletstats receiver.",{"type":39,"tag":69,"props":116,"children":117},{},[118,123,128],{"type":39,"tag":96,"props":119,"children":120},{},[121],{"type":45,"value":122},"Elastic APM",{"type":39,"tag":96,"props":124,"children":125},{},[126],{"type":45,"value":127},"Optional",{"type":39,"tag":96,"props":129,"children":130},{},[131,133,140],{"type":45,"value":132},"Core node-impact analysis still works. The ",{"type":39,"tag":134,"props":135,"children":137},"code",{"className":136},[],[138],{"type":45,"value":139},"downstream_services",{"type":45,"value":141}," section (user-facing services in affected namespaces) is omitted with a note.",{"type":39,"tag":48,"props":143,"children":144},{},[145],{"type":45,"value":146},"If the user is not running Kubernetes, this tool does not apply. But a Kubernetes-only customer (no APM)\nstill gets the full pod-level impact assessment and rescheduling feasibility — the majority of the value.",{"type":39,"tag":54,"props":148,"children":150},{"id":149},"tools",[151],{"type":45,"value":152},"Tools",{"type":39,"tag":61,"props":154,"children":155},{},[156,172],{"type":39,"tag":65,"props":157,"children":158},{},[159],{"type":39,"tag":69,"props":160,"children":161},{},[162,167],{"type":39,"tag":73,"props":163,"children":164},{},[165],{"type":45,"value":166},"Tool",{"type":39,"tag":73,"props":168,"children":169},{},[170],{"type":45,"value":171},"Purpose",{"type":39,"tag":89,"props":173,"children":174},{},[175,191,208,225],{"type":39,"tag":69,"props":176,"children":177},{},[178,186],{"type":39,"tag":96,"props":179,"children":180},{},[181],{"type":39,"tag":134,"props":182,"children":184},{"className":183},[],[185],{"type":45,"value":4},{"type":39,"tag":96,"props":187,"children":188},{},[189],{"type":45,"value":190},"Run the impact assessment for a specific node.",{"type":39,"tag":69,"props":192,"children":193},{},[194,203],{"type":39,"tag":96,"props":195,"children":196},{},[197],{"type":39,"tag":134,"props":198,"children":200},{"className":199},[],[201],{"type":45,"value":202},"apm-health-summary",{"type":39,"tag":96,"props":204,"children":205},{},[206],{"type":45,"value":207},"Before: check which services are already degraded.",{"type":39,"tag":69,"props":209,"children":210},{},[211,220],{"type":39,"tag":96,"props":212,"children":213},{},[214],{"type":39,"tag":134,"props":215,"children":217},{"className":216},[],[218],{"type":45,"value":219},"apm-service-dependencies",{"type":39,"tag":96,"props":221,"children":222},{},[223],{"type":45,"value":224},"After: map downstream ripple for affected services.",{"type":39,"tag":69,"props":226,"children":227},{},[228,237],{"type":39,"tag":96,"props":229,"children":230},{},[231],{"type":39,"tag":134,"props":232,"children":234},{"className":233},[],[235],{"type":45,"value":236},"ml-anomalies",{"type":39,"tag":96,"props":238,"children":239},{},[240],{"type":45,"value":241},"After: is unusual behavior already showing up on affected workloads?",{"type":39,"tag":54,"props":243,"children":245},{"id":244},"how-to-call-k8s-blast-radius",[246],{"type":45,"value":247},"How to call k8s-blast-radius",{"type":39,"tag":249,"props":250,"children":255},"pre",{"className":251,"code":252,"language":253,"meta":254,"style":254},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","{\n  \"node\": \"gke-prod-pool-1-abc123\",\n  \"cluster\": \"prod-us-east\",\n  \"layout\": \"summary\"\n}\n","json","",[256],{"type":39,"tag":134,"props":257,"children":258},{"__ignoreMap":254},[259,271,316,354,389],{"type":39,"tag":260,"props":261,"children":264},"span",{"class":262,"line":263},"line",1,[265],{"type":39,"tag":260,"props":266,"children":268},{"style":267},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[269],{"type":45,"value":270},"{\n",{"type":39,"tag":260,"props":272,"children":274},{"class":262,"line":273},2,[275,280,286,291,296,301,307,311],{"type":39,"tag":260,"props":276,"children":277},{"style":267},[278],{"type":45,"value":279},"  \"",{"type":39,"tag":260,"props":281,"children":283},{"style":282},"--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA",[284],{"type":45,"value":285},"node",{"type":39,"tag":260,"props":287,"children":288},{"style":267},[289],{"type":45,"value":290},"\"",{"type":39,"tag":260,"props":292,"children":293},{"style":267},[294],{"type":45,"value":295},":",{"type":39,"tag":260,"props":297,"children":298},{"style":267},[299],{"type":45,"value":300}," \"",{"type":39,"tag":260,"props":302,"children":304},{"style":303},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[305],{"type":45,"value":306},"gke-prod-pool-1-abc123",{"type":39,"tag":260,"props":308,"children":309},{"style":267},[310],{"type":45,"value":290},{"type":39,"tag":260,"props":312,"children":313},{"style":267},[314],{"type":45,"value":315},",\n",{"type":39,"tag":260,"props":317,"children":319},{"class":262,"line":318},3,[320,324,329,333,337,341,346,350],{"type":39,"tag":260,"props":321,"children":322},{"style":267},[323],{"type":45,"value":279},{"type":39,"tag":260,"props":325,"children":326},{"style":282},[327],{"type":45,"value":328},"cluster",{"type":39,"tag":260,"props":330,"children":331},{"style":267},[332],{"type":45,"value":290},{"type":39,"tag":260,"props":334,"children":335},{"style":267},[336],{"type":45,"value":295},{"type":39,"tag":260,"props":338,"children":339},{"style":267},[340],{"type":45,"value":300},{"type":39,"tag":260,"props":342,"children":343},{"style":303},[344],{"type":45,"value":345},"prod-us-east",{"type":39,"tag":260,"props":347,"children":348},{"style":267},[349],{"type":45,"value":290},{"type":39,"tag":260,"props":351,"children":352},{"style":267},[353],{"type":45,"value":315},{"type":39,"tag":260,"props":355,"children":357},{"class":262,"line":356},4,[358,362,367,371,375,379,384],{"type":39,"tag":260,"props":359,"children":360},{"style":267},[361],{"type":45,"value":279},{"type":39,"tag":260,"props":363,"children":364},{"style":282},[365],{"type":45,"value":366},"layout",{"type":39,"tag":260,"props":368,"children":369},{"style":267},[370],{"type":45,"value":290},{"type":39,"tag":260,"props":372,"children":373},{"style":267},[374],{"type":45,"value":295},{"type":39,"tag":260,"props":376,"children":377},{"style":267},[378],{"type":45,"value":300},{"type":39,"tag":260,"props":380,"children":381},{"style":303},[382],{"type":45,"value":383},"summary",{"type":39,"tag":260,"props":385,"children":386},{"style":267},[387],{"type":45,"value":388},"\"\n",{"type":39,"tag":260,"props":390,"children":392},{"class":262,"line":391},5,[393],{"type":39,"tag":260,"props":394,"children":395},{"style":267},[396],{"type":45,"value":397},"}\n",{"type":39,"tag":48,"props":399,"children":400},{},[401],{"type":45,"value":402},"Parameter-filling guidance:",{"type":39,"tag":404,"props":405,"children":406},"ul",{},[407,436,473],{"type":39,"tag":408,"props":409,"children":410},"li",{},[411,419,421,426,428,434],{"type":39,"tag":105,"props":412,"children":413},{},[414],{"type":39,"tag":134,"props":415,"children":417},{"className":416},[],[418],{"type":45,"value":285},{"type":45,"value":420},": ",{"type":39,"tag":105,"props":422,"children":423},{},[424],{"type":45,"value":425},"must be exact",{"type":45,"value":427},". Matched literally against ",{"type":39,"tag":134,"props":429,"children":431},{"className":430},[],[432],{"type":45,"value":433},"kubernetes.node.name",{"type":45,"value":435},". If the user describes a\nnode ambiguously (\"the noisy node\", \"the one running frontend\"), ask them to confirm the exact node name\nbefore calling. Do not guess.",{"type":39,"tag":408,"props":437,"children":438},{},[439,447,449,455,457,463,465,471],{"type":39,"tag":105,"props":440,"children":441},{},[442],{"type":39,"tag":134,"props":443,"children":445},{"className":444},[],[446],{"type":45,"value":328},{"type":45,"value":448},": required when the same node name might exist in multiple clusters — auto-generated cloud\nnode names (GKE \u002F EKS) sometimes collide. Resolves fuzzily against ",{"type":39,"tag":134,"props":450,"children":452},{"className":451},[],[453],{"type":45,"value":454},"k8s.cluster.name",{"type":45,"value":456}," (OTel) \u002F\n",{"type":39,"tag":134,"props":458,"children":460},{"className":459},[],[461],{"type":45,"value":462},"orchestrator.cluster.name",{"type":45,"value":464}," (ECS); on miss the response includes ",{"type":39,"tag":134,"props":466,"children":468},{"className":467},[],[469],{"type":45,"value":470},"cluster_candidates",{"type":45,"value":472},". Omit for\nsingle-cluster deployments.",{"type":39,"tag":408,"props":474,"children":475},{},[476,484,486,491,493,499],{"type":39,"tag":105,"props":477,"children":478},{},[479],{"type":39,"tag":134,"props":480,"children":482},{"className":481},[],[483],{"type":45,"value":366},{"type":45,"value":485},": default ",{"type":39,"tag":134,"props":487,"children":489},{"className":488},[],[490],{"type":45,"value":383},{"type":45,"value":492}," (compact, collapsible sections). Use ",{"type":39,"tag":134,"props":494,"children":496},{"className":495},[],[497],{"type":45,"value":498},"radial",{"type":45,"value":500}," when the user wants a visual\n\"impact-by-proximity\" diagram.",{"type":39,"tag":54,"props":502,"children":504},{"id":503},"after-the-tool-returns",[505],{"type":45,"value":506},"After the tool returns",{"type":39,"tag":48,"props":508,"children":509},{},[510],{"type":45,"value":511},"Response shape:",{"type":39,"tag":404,"props":513,"children":514},{},[515,549,576,587,598,609,628,639,650,661,672],{"type":39,"tag":408,"props":516,"children":517},{},[518,524,525,531,533,539,541,547],{"type":39,"tag":134,"props":519,"children":521},{"className":520},[],[522],{"type":45,"value":523},"status",{"type":45,"value":420},{"type":39,"tag":134,"props":526,"children":528},{"className":527},[],[529],{"type":45,"value":530},"AT RISK",{"type":45,"value":532}," (full outage), ",{"type":39,"tag":134,"props":534,"children":536},{"className":535},[],[537],{"type":45,"value":538},"PARTIAL RISK",{"type":45,"value":540}," (degraded only), or ",{"type":39,"tag":134,"props":542,"children":544},{"className":543},[],[545],{"type":45,"value":546},"SAFE",{"type":45,"value":548}," (no impact).",{"type":39,"tag":408,"props":550,"children":551},{},[552,558,560,566,568,574],{"type":39,"tag":134,"props":553,"children":555},{"className":554},[],[556],{"type":45,"value":557},"data_coverage",{"type":45,"value":559},": which backends contributed (always ",{"type":39,"tag":134,"props":561,"children":563},{"className":562},[],[564],{"type":45,"value":565},"kubernetes: true",{"type":45,"value":567},"; ",{"type":39,"tag":134,"props":569,"children":571},{"className":570},[],[572],{"type":45,"value":573},"apm: true|false",{"type":45,"value":575},").",{"type":39,"tag":408,"props":577,"children":578},{},[579,585],{"type":39,"tag":134,"props":580,"children":582},{"className":581},[],[583],{"type":45,"value":584},"pods_at_risk",{"type":45,"value":586},": count of pods on the node.",{"type":39,"tag":408,"props":588,"children":589},{},[590,596],{"type":39,"tag":134,"props":591,"children":593},{"className":592},[],[594],{"type":45,"value":595},"full_outage[]",{"type":45,"value":597},": deployments losing all replicas — lead with these.",{"type":39,"tag":408,"props":599,"children":600},{},[601,607],{"type":39,"tag":134,"props":602,"children":604},{"className":603},[],[605],{"type":45,"value":606},"degraded[]",{"type":45,"value":608},": deployments losing partial capacity.",{"type":39,"tag":408,"props":610,"children":611},{},[612,618,620,626],{"type":39,"tag":134,"props":613,"children":615},{"className":614},[],[616],{"type":45,"value":617},"unaffected",{"type":45,"value":619}," \u002F ",{"type":39,"tag":134,"props":621,"children":623},{"className":622},[],[624],{"type":45,"value":625},"unaffected_count",{"type":45,"value":627},": deployments not touching the node.",{"type":39,"tag":408,"props":629,"children":630},{},[631,637],{"type":39,"tag":134,"props":632,"children":634},{"className":633},[],[635],{"type":45,"value":636},"rescheduling",{"type":45,"value":638},": memory required vs available, and whether it's feasible.",{"type":39,"tag":408,"props":640,"children":641},{},[642,648],{"type":39,"tag":134,"props":643,"children":645},{"className":644},[],[646],{"type":45,"value":647},"downstream_services[]",{"type":45,"value":649}," (only if APM present): user-facing services whose namespace is affected.",{"type":39,"tag":408,"props":651,"children":652},{},[653,659],{"type":39,"tag":134,"props":654,"children":656},{"className":655},[],[657],{"type":45,"value":658},"downstream_services_note",{"type":45,"value":660}," (only if APM absent): explains the gap.",{"type":39,"tag":408,"props":662,"children":663},{},[664,670],{"type":39,"tag":134,"props":665,"children":667},{"className":666},[],[668],{"type":45,"value":669},"investigation_actions",{"type":45,"value":671},": next-step prompts surfaced as click-to-send buttons in the view (includes a SPOF\ncallout when a single-replica deployment is implicated).",{"type":39,"tag":408,"props":673,"children":674},{},[675,681],{"type":39,"tag":134,"props":676,"children":678},{"className":677},[],[679],{"type":45,"value":680},"render_instructions",{"type":45,"value":682},": HTML render spec — let the inline MCP App view handle visualization (floating\nsummary card, radial affected-deployment sweep, safe-zone arc, hover tooltips).",{"type":39,"tag":48,"props":684,"children":685},{},[686,688,694],{"type":45,"value":687},"Ignore ",{"type":39,"tag":134,"props":689,"children":691},{"className":690},[],[692],{"type":45,"value":693},"_setup_notice",{"type":45,"value":695}," if present — it's view-side chrome (welcome banner) that the UI handles. Don't\necho or summarize it in chat.",{"type":39,"tag":48,"props":697,"children":698},{},[699],{"type":45,"value":700},"Narrate in this order:",{"type":39,"tag":702,"props":703,"children":704},"ol",{},[705,715,725,735,745,755],{"type":39,"tag":408,"props":706,"children":707},{},[708,713],{"type":39,"tag":105,"props":709,"children":710},{},[711],{"type":45,"value":712},"Headline status",{"type":45,"value":714},": \"AT RISK — 3 deployments lose all replicas if gke-prod-pool-1-abc123 goes offline.\"",{"type":39,"tag":408,"props":716,"children":717},{},[718,723],{"type":39,"tag":105,"props":719,"children":720},{},[721],{"type":45,"value":722},"Full outage list",{"type":45,"value":724},": name the deployments. These are the critical ones.",{"type":39,"tag":408,"props":726,"children":727},{},[728,733],{"type":39,"tag":105,"props":729,"children":730},{},[731],{"type":45,"value":732},"Degraded list",{"type":45,"value":734},": name them, note surviving replica counts.",{"type":39,"tag":408,"props":736,"children":737},{},[738,743],{"type":39,"tag":105,"props":739,"children":740},{},[741],{"type":45,"value":742},"Rescheduling feasibility",{"type":45,"value":744},": \"Cluster has X GB available across N nodes to absorb Y GB required — safe\n\u002F not safe \u002F marginal.\"",{"type":39,"tag":408,"props":746,"children":747},{},[748,753],{"type":39,"tag":105,"props":749,"children":750},{},[751],{"type":45,"value":752},"Downstream services",{"type":45,"value":754}," (if APM present): name the services in affected namespaces that might be\nuser-visible.",{"type":39,"tag":408,"props":756,"children":757},{},[758,763],{"type":39,"tag":105,"props":759,"children":760},{},[761],{"type":45,"value":762},"Recommend action",{"type":45,"value":764},": for AT RISK + infeasible reschedule, \"don't drain this node without scaling up.\"\nFor PARTIAL RISK + feasible, \"safe to drain with PodDisruptionBudgets in place.\"",{"type":39,"tag":54,"props":766,"children":768},{"id":767},"key-principles",[769],{"type":45,"value":770},"Key principles",{"type":39,"tag":404,"props":772,"children":773},{},[774,784,794,804,814],{"type":39,"tag":408,"props":775,"children":776},{},[777,782],{"type":39,"tag":105,"props":778,"children":779},{},[780],{"type":45,"value":781},"Hypothetical framing.",{"type":45,"value":783}," Unless the node is actually down, always present results as \"if X goes offline,\nthen Y\" — not as current reality.",{"type":39,"tag":408,"props":785,"children":786},{},[787,792],{"type":39,"tag":105,"props":788,"children":789},{},[790],{"type":45,"value":791},"Rescheduling feasibility is a heuristic.",{"type":45,"value":793}," It compares memory only — doesn't account for CPU, storage,\naffinity rules, taints, or PodDisruptionBudgets. Note this caveat.",{"type":39,"tag":408,"props":795,"children":796},{},[797,802],{"type":39,"tag":105,"props":798,"children":799},{},[800],{"type":45,"value":801},"Full-outage >> degraded.",{"type":45,"value":803}," A deployment with 1 replica on the node is a full outage; a deployment with\n3 replicas losing 1 is degraded. Treat them very differently in recommendations.",{"type":39,"tag":408,"props":805,"children":806},{},[807,812],{"type":39,"tag":105,"props":808,"children":809},{},[810],{"type":45,"value":811},"Downstream services matter.",{"type":45,"value":813}," Even if a deployment is degraded not down, user-facing services might see\ntail latency. Mention the downstream APM services.",{"type":39,"tag":408,"props":815,"children":816},{},[817,822,824,830],{"type":39,"tag":105,"props":818,"children":819},{},[820],{"type":45,"value":821},"Don't conflate \"at risk\" with \"broken.\"",{"type":45,"value":823}," The status reflects ",{"type":39,"tag":825,"props":826,"children":827},"em",{},[828],{"type":45,"value":829},"potential",{"type":45,"value":831}," impact. The node may be fine.",{"type":39,"tag":833,"props":834,"children":835},"style",{},[836],{"type":45,"value":837},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":839,"total":913},[840,854,864,871,886,900],{"slug":202,"name":202,"fn":841,"description":842,"org":843,"tags":844,"stars":23,"repoUrl":24,"updatedAt":853},"summarize Elastic APM service health","Get a cluster-level rollup of service health from APM telemetry — the \"how's my environment right now?\" entry point for observability investigations. Use whenever the user asks about HEALTH, STATUS, or general wellbeing of an environment \u002F cluster \u002F namespace (\"how's my cluster\", \"status of the X env\", \"what's broken\", \"any issues\", \"show me the health of …\", \"give me a status report\", \"what should I look at\", \"things feel slow\"). This applies regardless of any time qualifier — \"show me the health of X over the past hour\" still routes here (with lookback=\"1h\"), NOT to observe. observe is for raw-metric queries; this tool is for the rollup. Gracefully degrades: layers in Kubernetes pod data and ML anomaly context when those backends are present, but still returns useful APM-only output if they aren't. Do not use for log-only or metrics-only customers — this tool requires Elastic APM.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[845,848,849,852],{"name":846,"slug":847,"type":15},"APM","apm",{"name":9,"slug":8,"type":15},{"name":850,"slug":851,"type":15},"Monitoring","monitoring",{"name":13,"slug":14,"type":15},"2026-07-12T07:49:24.405551",{"slug":219,"name":219,"fn":855,"description":856,"org":857,"tags":858,"stars":23,"repoUrl":24,"updatedAt":863},"map application topology from APM telemetry","Map the application topology from APM telemetry — which services call which, over what protocols, with what call volume and latency. Use when the user asks \"what calls X\", \"what depends on X\", \"show me the topology\", \"what are the upstream\u002Fdownstream services\", \"where does this service fit\", or is doing root-cause investigation and needs to trace how a problem propagates through the call graph. Also trigger for \"service map\", \"dependency graph\", \"blast radius of service X\", or \"who's the dependency of Y\". Requires Elastic APM — do not trigger for log-only or metrics-only customers.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[859,860,861,862],{"name":846,"slug":847,"type":15},{"name":9,"slug":8,"type":15},{"name":850,"slug":851,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:49:23.167442",{"slug":4,"name":4,"fn":5,"description":6,"org":865,"tags":866,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[867,868,869,870],{"name":9,"slug":8,"type":15},{"name":18,"slug":19,"type":15},{"name":13,"slug":14,"type":15},{"name":21,"slug":22,"type":15},{"slug":872,"name":872,"fn":873,"description":874,"org":875,"tags":876,"stars":23,"repoUrl":24,"updatedAt":885},"manage-alerts","manage Kibana alerting rules","CRUD for Kibana alerting rules — create, list, get, or delete custom-threshold rules. Use when the user says \"alert me when\", \"create a rule for\", \"page me if\", \"set up an alert\", \"show me my rules\", \"what alerts do I have\", \"delete that alert\", \"remove the rule\". Backend-agnostic — works on any metric field in any index pattern (metrics-*, logs-*, traces-apm*, custom). For transient session-scoped monitoring use `observe` instead. Requires Kibana with the Alerting feature enabled — the tool is auto-disabled when no Kibana URL is configured.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[877,880,881,884],{"name":878,"slug":879,"type":15},"Alerting","alerting",{"name":9,"slug":8,"type":15},{"name":882,"slug":883,"type":15},"Kibana","kibana",{"name":850,"slug":851,"type":15},"2026-07-12T07:49:21.846108",{"slug":236,"name":236,"fn":887,"description":888,"org":889,"tags":890,"stars":23,"repoUrl":24,"updatedAt":899},"query Elastic ML anomaly detection results","Query Elastic ML anomaly detection results to understand what's behaving unusually, why, and how badly. Use when the user asks \"what's anomalous\", \"is anything unusual happening\", \"why is X slow\u002Fspiking\", \"show me the weirdness\", or mentions memory growth, CPU spikes, restart patterns, unusual latency, unexpected error rates, or drift from typical behavior. Also trigger for \"ML anomalies\", \"anomaly detection\", \"Elastic ML\", \"what does ML think\", or when the user wants to understand behavior that deviates from baseline. The tool opens an inline explainer view with a severity gauge, plain-English narrative, and per-entity deviation breakdown — so the agent should USE the visualization, not just dump JSON.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[891,894,895,898],{"name":892,"slug":893,"type":15},"Anomaly Detection","anomaly-detection",{"name":9,"slug":8,"type":15},{"name":896,"slug":897,"type":15},"Machine Learning","machine-learning",{"name":13,"slug":14,"type":15},"2026-07-12T07:49:26.869446",{"slug":901,"name":901,"fn":902,"description":903,"org":904,"tags":905,"stars":23,"repoUrl":24,"updatedAt":912},"observe","monitor Elastic observability telemetry","The agent's Elastic-access primitive. Four modes: wait for an ML anomaly to fire, poll an ES|QL metric (live-sample or wait for a threshold), read a single-instance scalar value, or return a full ES|QL table. Use when the user says \"tell me when...\", \"let me know if...\", \"wait until X drops below Y\", \"watch for anything unusual\", \"monitor for the next N minutes\", \"poll until stable\", \"what is X right now\", \"list …\", \"which … are …\", or wants transient (session-scoped) monitoring or ad-hoc querying without creating a persistent Kibana rule. Also trigger for \"keep an eye on\" and post-remediation validation.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[906,907,910,911],{"name":9,"slug":8,"type":15},{"name":908,"slug":909,"type":15},"Metrics","metrics",{"name":850,"slug":851,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:49:28.114697",6,{"items":915,"total":1087},[916,935,952,967,986,998,1008,1023,1035,1050,1061,1074],{"slug":917,"name":917,"fn":918,"description":919,"org":920,"tags":921,"stars":932,"repoUrl":933,"updatedAt":934},"accessing-benchmark-results","retrieve and analyze Rally benchmark results","Retrieve Rally benchmark results from an external Elasticsearch metrics store. Use to list past races, get a single race's overall (per-task) results, chart a metric's trend across multiple runs, compare two races, or check whether a run converged — e.g. \"show me recent geonames races\", \"what's the service_time trend for nyc_taxis over the last 30 days?\", \"compare these two race-ids\". Applies when datastore.type = elasticsearch is set in ~\u002F.rally\u002Frally.ini.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[922,925,928,929],{"name":923,"slug":924,"type":15},"Analytics","analytics",{"name":926,"slug":927,"type":15},"Data Analysis","data-analysis",{"name":9,"slug":8,"type":15},{"name":930,"slug":931,"type":15},"Performance","performance",2027,"https:\u002F\u002Fgithub.com\u002Felastic\u002Frally","2026-07-12T07:46:38.54144",{"slug":936,"name":936,"fn":937,"description":938,"org":939,"tags":940,"stars":932,"repoUrl":933,"updatedAt":951},"developing-rally","develop and debug Rally source code","Work on Rally's own codebase, not running benchmarks with it. Use when setting up the dev environment, running Rally's tests or linters, navigating its source, debugging Rally's own code, or making changes to Rally itself.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[941,944,945,948],{"name":942,"slug":943,"type":15},"Debugging","debugging",{"name":9,"slug":8,"type":15},{"name":946,"slug":947,"type":15},"Engineering","engineering",{"name":949,"slug":950,"type":15},"Local Development","local-development","2026-07-12T07:46:35.976807",{"slug":953,"name":953,"fn":954,"description":955,"org":956,"tags":957,"stars":932,"repoUrl":933,"updatedAt":966},"running-benchmarks","run Rally benchmarks against Elasticsearch","Run Rally benchmarks (races) against Elasticsearch — an existing\u002Fexternal cluster or a Rally-provisioned distribution — and read the summary report. Use when running a race (any pipeline, track, challenge, target-hosts, or auth) or when interpreting throughput, latency, and service_time results.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[958,959,962,963],{"name":9,"slug":8,"type":15},{"name":960,"slug":961,"type":15},"Elasticsearch","elasticsearch",{"name":930,"slug":931,"type":15},{"name":964,"slug":965,"type":15},"Testing","testing","2026-07-12T07:46:37.277964",{"slug":968,"name":968,"fn":969,"description":970,"org":971,"tags":972,"stars":983,"repoUrl":984,"updatedAt":985},"cloud-access-management","manage Elastic Cloud organization access","Manage Elastic Cloud organization access: invite users, assign roles to Serverless projects, and create or revoke Cloud API keys. Use when granting, modifying, or auditing user access.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[973,976,977,980],{"name":974,"slug":975,"type":15},"Cloud","cloud",{"name":9,"slug":8,"type":15},{"name":978,"slug":979,"type":15},"Operations","operations",{"name":981,"slug":982,"type":15},"Permissions","permissions",531,"https:\u002F\u002Fgithub.com\u002Felastic\u002Fagent-skills","2026-07-12T07:46:44.946285",{"slug":987,"name":987,"fn":988,"description":989,"org":990,"tags":991,"stars":983,"repoUrl":984,"updatedAt":997},"cloud-create-project","create Elastic Cloud Serverless projects","Creates Elastic Cloud Serverless projects (Elasticsearch, Observability, or Security) via the REST API, saves credentials to file, and bootstraps a scoped Elasticsearch API key. Use when creating a new serverless project, provisioning a search or observability environment, or spinning up a new Elastic Cloud project.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[992,993,996],{"name":974,"slug":975,"type":15},{"name":994,"slug":995,"type":15},"Deployment","deployment",{"name":960,"slug":961,"type":15},"2026-07-12T07:46:42.353362",{"slug":999,"name":999,"fn":1000,"description":1001,"org":1002,"tags":1003,"stars":983,"repoUrl":984,"updatedAt":1007},"cloud-manage-project","manage Elastic Cloud Serverless projects","Manages existing Elastic Cloud Serverless projects: list, get, update, delete, reset credentials, resume, and load saved credentials. Connects to existing projects by resolving endpoints and acquiring scoped Elasticsearch API keys. Use when performing day-2 operations on serverless projects, connecting to an existing project, loading or resetting project credentials, or looking up project details.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1004,1005,1006],{"name":974,"slug":975,"type":15},{"name":960,"slug":961,"type":15},{"name":978,"slug":979,"type":15},"2026-07-12T07:46:41.097412",{"slug":1009,"name":1009,"fn":1010,"description":1011,"org":1012,"tags":1013,"stars":983,"repoUrl":984,"updatedAt":1022},"cloud-network-security","manage Elastic Cloud network security","Manage Serverless network security (traffic filters): create, update, and delete IP filters and AWS PrivateLink VPC filters. Use when restricting network access or configuring private connectivity.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1014,1015,1016,1019],{"name":974,"slug":975,"type":15},{"name":960,"slug":961,"type":15},{"name":1017,"slug":1018,"type":15},"Networking","networking",{"name":1020,"slug":1021,"type":15},"Security","security","2026-07-12T07:46:43.675992",{"slug":1024,"name":1024,"fn":1025,"description":1026,"org":1027,"tags":1028,"stars":983,"repoUrl":984,"updatedAt":1034},"cloud-setup","configure Elastic Cloud authentication","Configures Elastic Cloud authentication and environment defaults. Use when setting up EC_API_KEY, configuring Cloud API access, or when another cloud skill requires credentials.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1029,1032,1033],{"name":1030,"slug":1031,"type":15},"Authentication","authentication",{"name":974,"slug":975,"type":15},{"name":960,"slug":961,"type":15},"2026-07-12T07:46:39.783105",{"slug":1036,"name":1036,"fn":1037,"description":1038,"org":1039,"tags":1040,"stars":983,"repoUrl":984,"updatedAt":1049},"elasticsearch-audit","configure Elasticsearch security audit logs","Enable, configure, and query Elasticsearch security audit logs. Use when the task involves audit logging setup, event filtering, or investigating security incidents like failed logins.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1041,1044,1045,1048],{"name":1042,"slug":1043,"type":15},"Audit","audit",{"name":960,"slug":961,"type":15},{"name":1046,"slug":1047,"type":15},"Logs","logs",{"name":1020,"slug":1021,"type":15},"2026-07-12T07:47:35.092599",{"slug":1051,"name":1051,"fn":1052,"description":1053,"org":1054,"tags":1055,"stars":983,"repoUrl":984,"updatedAt":1060},"elasticsearch-authn","configure Elasticsearch authentication realms","Authenticate to Elasticsearch using native, file-based, LDAP\u002FAD, SAML, OIDC, Kerberos, JWT, or certificate realms. Use when connecting with credentials, choosing a realm, or managing API keys. Assumes the target realms are already configured.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1056,1057,1058,1059],{"name":1030,"slug":1031,"type":15},{"name":9,"slug":8,"type":15},{"name":960,"slug":961,"type":15},{"name":1020,"slug":1021,"type":15},"2026-07-12T07:47:41.474547",{"slug":1062,"name":1062,"fn":1063,"description":1064,"org":1065,"tags":1066,"stars":983,"repoUrl":984,"updatedAt":1073},"elasticsearch-authz","manage Elasticsearch RBAC and security roles","Manage Elasticsearch RBAC: native users, roles, role mappings, document- and field-level security. Use when creating users or roles, assigning privileges, or mapping external realms like LDAP\u002FSAML.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1067,1068,1069,1072],{"name":9,"slug":8,"type":15},{"name":960,"slug":961,"type":15},{"name":1070,"slug":1071,"type":15},"RBAC","rbac",{"name":1020,"slug":1021,"type":15},"2026-07-12T07:47:36.394177",{"slug":1075,"name":1075,"fn":1076,"description":1077,"org":1078,"tags":1079,"stars":983,"repoUrl":984,"updatedAt":1086},"elasticsearch-esql","query Elasticsearch data with ES|QL","Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1080,1081,1082,1083],{"name":923,"slug":924,"type":15},{"name":926,"slug":927,"type":15},{"name":960,"slug":961,"type":15},{"name":1084,"slug":1085,"type":15},"SQL","sql","2026-07-12T07:47:40.249533",86]