[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-grafana-beyla":3,"mdc--54j0q9-key":34,"related-org-grafana-beyla":1054,"related-repo-grafana-beyla":1244},{"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":32,"mdContent":33},"beyla","auto-instrument applications with Grafana Beyla","Auto-instrument an application's HTTP \u002F gRPC \u002F DB traffic with Grafana Beyla eBPF — no code changes, no SDK, no restart. Covers requirements (Linux 5.8+ with BTF, CAP_SYS_ADMIN, host PID), language matrix (Go \u002F Java \u002F Python \u002F Ruby \u002F Node \u002F .NET \u002F Rust \u002F C++ \u002F PHP), Docker + Helm + DaemonSet install, port- \u002F process- \u002F Kubernetes-metadata discovery, OTLP traces + Prometheus metrics export, routes decorator (cardinality control), trace sampling, and Grafana Cloud via Alloy. Use when adding observability to a service you can't recompile, instrumenting a closed-source binary, getting RED metrics + spans onto Tempo\u002FMimir without touching the app, or rolling Beyla as a cluster-wide DaemonSet — even when the user says \"zero-code APM\", \"instrument legacy app\", \"trace this binary\", \"eBPF observability\", or \"no SDK\" without naming Beyla.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"grafana","Grafana","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fgrafana.jpg",[12,16,19,22],{"name":13,"slug":14,"type":15},"Observability","observability","tag",{"name":17,"slug":18,"type":15},"eBPF","ebpf",{"name":20,"slug":21,"type":15},"Monitoring","monitoring",{"name":9,"slug":8,"type":15},189,"https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fskills","2026-07-12T07:43:56.154331","Apache-2.0",16,[],{"repoUrl":24,"stars":23,"forks":27,"topics":30,"description":31},[],null,"https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Fgrafana-core\u002Fbeyla","---\nname: beyla\nlicense: Apache-2.0\ndescription: Auto-instrument an application's HTTP \u002F gRPC \u002F DB traffic with Grafana Beyla eBPF — no code changes, no SDK, no restart. Covers requirements (Linux 5.8+ with BTF, CAP_SYS_ADMIN, host PID), language matrix (Go \u002F Java \u002F Python \u002F Ruby \u002F Node \u002F .NET \u002F Rust \u002F C++ \u002F PHP), Docker + Helm + DaemonSet install, port- \u002F process- \u002F Kubernetes-metadata discovery, OTLP traces + Prometheus metrics export, routes decorator (cardinality control), trace sampling, and Grafana Cloud via Alloy. Use when adding observability to a service you can't recompile, instrumenting a closed-source binary, getting RED metrics + spans onto Tempo\u002FMimir without touching the app, or rolling Beyla as a cluster-wide DaemonSet — even when the user says \"zero-code APM\", \"instrument legacy app\", \"trace this binary\", \"eBPF observability\", or \"no SDK\" without naming Beyla.\n---\n\n# Grafana Beyla\n\n> **Docs**: https:\u002F\u002Fgrafana.com\u002Fdocs\u002Fbeyla\u002Flatest\u002F\n\nZero-code HTTP \u002F gRPC \u002F DB instrumentation via eBPF. Emits OTLP traces + Prometheus metrics.\n\n## Prerequisites\n\n- Linux kernel **5.8+** with BTF enabled (`ls \u002Fsys\u002Fkernel\u002Fbtf\u002Fvmlinux` must exist)\n- Root or `CAP_SYS_ADMIN` (or `privileged: true` in Kubernetes + `hostPID: true`)\n- x86_64 or ARM64\n- An OTLP receiver (Tempo, Alloy, OTel Collector) reachable from Beyla\n\n## Common Workflows\n\n### 1. Instrument a single binary with Docker\n\n```bash\n# 1. Run Beyla against the app's port (the app must already be running, listening on 8080)\ndocker run --privileged --pid=host \\\n  -v \u002Fsys\u002Fkernel\u002Fdebug:\u002Fsys\u002Fkernel\u002Fdebug:ro \\\n  -e BEYLA_OPEN_PORT=8080 \\\n  -e BEYLA_PROMETHEUS_PORT=8999 \\\n  -e OTEL_EXPORTER_OTLP_ENDPOINT=http:\u002F\u002Fotel-collector:4318 \\\n  -p 8999:8999 \\\n  grafana\u002Fbeyla\n\n# 2. Generate some traffic\ncurl http:\u002F\u002Flocalhost:8080\u002F ; curl http:\u002F\u002Flocalhost:8080\u002Fapi\u002Fusers\u002F42\n\n# 3. Verify Beyla emitted metrics — should list http_server_request_duration_seconds + counters\ncurl -s http:\u002F\u002Flocalhost:8999\u002Fmetrics | grep -E '^http_(server|client)_request_duration'\n\n# 4. Verify traces — in Grafana Explore on Tempo, search by service.name (default = process name)\n#    Or: query Tempo's search API for spans with service.name=\"\u003Capp>\"\n```\n\n### 2. Deploy as a cluster-wide DaemonSet\n\nFull DaemonSet + RBAC YAML lives in [`references\u002Fkubernetes.md`](references\u002Fkubernetes.md). After applying:\n\n```bash\n# 1. Verify DaemonSet rollout\nkubectl -n monitoring rollout status ds\u002Fbeyla\n\n# 2. Verify pods are Running, one per node\nkubectl -n monitoring get pods -l app=beyla -o wide\n\n# 3. Verify eBPF probes attached (no errors mentioning BTF or \"permission denied\")\nkubectl -n monitoring logs ds\u002Fbeyla --tail=50 | grep -Ei 'error|fail|btf' || echo \"clean\"\n\n# 4. Verify telemetry is flowing — check the Tempo\u002FAlloy receiver for spans from the cluster\n#    Or scrape one pod directly:\nkubectl -n monitoring port-forward ds\u002Fbeyla 8999:8999 &\ncurl -s localhost:8999\u002Fmetrics | head\n```\n\n### 3. Send to Grafana Cloud via Alloy\n\n```yaml\n# beyla-config.yml\notel_traces_export:  { endpoint: http:\u002F\u002Falloy:4318 }\notel_metrics_export: { endpoint: http:\u002F\u002Falloy:4318 }\n```\n\n```bash\n# Verify Alloy is forwarding — check Alloy UI (localhost:12345) for the\n# otelcol.receiver.otlp.beyla component showing received spans\u002Fmetrics > 0.\n```\n\nFull Alloy + Beyla YAML: [`references\u002Fconfig.md`](references\u002Fconfig.md).\n\n## Troubleshooting\n\n- `failed to load BPF object` → kernel \u003C 5.8 or BTF missing; check `\u002Fsys\u002Fkernel\u002Fbtf\u002Fvmlinux`\n- No spans in Tempo, but Prometheus metrics show → check `OTEL_EXPORTER_OTLP_ENDPOINT`, protocol (http vs grpc), and ports (4318 http \u002F 4317 grpc)\n- HTTP route cardinality explosion → set `routes.unmatched: heuristic` and add patterns (see [`references\u002Fconfig.md`](references\u002Fconfig.md))\n- Pod restarts with `CrashLoopBackOff` → likely missing `hostPID: true` or `privileged: true` \u002F required capabilities\n\n## Resources\n\n- [Beyla docs](https:\u002F\u002Fgrafana.com\u002Fdocs\u002Fbeyla\u002Flatest\u002F)\n- [Beyla GitHub](https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fbeyla)\n- [`references\u002Fconfig.md`](references\u002Fconfig.md) — full config, env vars, samplers, routes decorator, generated metrics table, runtime matrix\n- [`references\u002Fkubernetes.md`](references\u002Fkubernetes.md) — DaemonSet + RBAC + discovery filters + Helm\n",{"data":35,"body":36},{"name":4,"license":26,"description":6},{"type":37,"children":38},"root",[39,48,72,77,84,149,155,162,464,470,486,773,779,867,890,906,912,994,1000,1048],{"type":40,"tag":41,"props":42,"children":44},"element","h1",{"id":43},"grafana-beyla",[45],{"type":46,"value":47},"text","Grafana Beyla",{"type":40,"tag":49,"props":50,"children":51},"blockquote",{},[52],{"type":40,"tag":53,"props":54,"children":55},"p",{},[56,62,64],{"type":40,"tag":57,"props":58,"children":59},"strong",{},[60],{"type":46,"value":61},"Docs",{"type":46,"value":63},": ",{"type":40,"tag":65,"props":66,"children":70},"a",{"href":67,"rel":68},"https:\u002F\u002Fgrafana.com\u002Fdocs\u002Fbeyla\u002Flatest\u002F",[69],"nofollow",[71],{"type":46,"value":67},{"type":40,"tag":53,"props":73,"children":74},{},[75],{"type":46,"value":76},"Zero-code HTTP \u002F gRPC \u002F DB instrumentation via eBPF. 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Verify Beyla emitted metrics — should list http_server_request_duration_seconds + counters\ncurl -s http:\u002F\u002Flocalhost:8999\u002Fmetrics | grep -E '^http_(server|client)_request_duration'\n\n# 4. Verify traces — in Grafana Explore on Tempo, search by service.name (default = process name)\n#    Or: query Tempo's search API for spans with service.name=\"\u003Capp>\"\n","bash","",[170],{"type":40,"tag":102,"props":171,"children":172},{"__ignoreMap":168},[173,185,217,235,259,281,298,316,325,335,344,374,382,391,439,447,455],{"type":40,"tag":174,"props":175,"children":178},"span",{"class":176,"line":177},"line",1,[179],{"type":40,"tag":174,"props":180,"children":182},{"style":181},"--shiki-light:#90A4AE;--shiki-light-font-style:italic;--shiki-default:#546E7A;--shiki-default-font-style:italic;--shiki-dark:#676E95;--shiki-dark-font-style:italic",[183],{"type":46,"value":184},"# 1. Run Beyla against the app's port (the app must already be running, listening on 8080)\n",{"type":40,"tag":174,"props":186,"children":188},{"class":176,"line":187},2,[189,195,201,206,211],{"type":40,"tag":174,"props":190,"children":192},{"style":191},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[193],{"type":46,"value":194},"docker",{"type":40,"tag":174,"props":196,"children":198},{"style":197},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[199],{"type":46,"value":200}," run",{"type":40,"tag":174,"props":202,"children":203},{"style":197},[204],{"type":46,"value":205}," --privileged",{"type":40,"tag":174,"props":207,"children":208},{"style":197},[209],{"type":46,"value":210}," --pid=host",{"type":40,"tag":174,"props":212,"children":214},{"style":213},"--shiki-light:#90A4AE;--shiki-default:#EEFFFF;--shiki-dark:#BABED8",[215],{"type":46,"value":216}," \\\n",{"type":40,"tag":174,"props":218,"children":220},{"class":176,"line":219},3,[221,226,231],{"type":40,"tag":174,"props":222,"children":223},{"style":197},[224],{"type":46,"value":225},"  -v",{"type":40,"tag":174,"props":227,"children":228},{"style":197},[229],{"type":46,"value":230}," \u002Fsys\u002Fkernel\u002Fdebug:\u002Fsys\u002Fkernel\u002Fdebug:ro",{"type":40,"tag":174,"props":232,"children":233},{"style":213},[234],{"type":46,"value":216},{"type":40,"tag":174,"props":236,"children":238},{"class":176,"line":237},4,[239,244,249,255],{"type":40,"tag":174,"props":240,"children":241},{"style":197},[242],{"type":46,"value":243},"  -e",{"type":40,"tag":174,"props":245,"children":246},{"style":197},[247],{"type":46,"value":248}," BEYLA_OPEN_PORT=",{"type":40,"tag":174,"props":250,"children":252},{"style":251},"--shiki-light:#F76D47;--shiki-default:#F78C6C;--shiki-dark:#F78C6C",[253],{"type":46,"value":254},"8080",{"type":40,"tag":174,"props":256,"children":257},{"style":213},[258],{"type":46,"value":216},{"type":40,"tag":174,"props":260,"children":262},{"class":176,"line":261},5,[263,267,272,277],{"type":40,"tag":174,"props":264,"children":265},{"style":197},[266],{"type":46,"value":243},{"type":40,"tag":174,"props":268,"children":269},{"style":197},[270],{"type":46,"value":271}," BEYLA_PROMETHEUS_PORT=",{"type":40,"tag":174,"props":273,"children":274},{"style":251},[275],{"type":46,"value":276},"8999",{"type":40,"tag":174,"props":278,"children":279},{"style":213},[280],{"type":46,"value":216},{"type":40,"tag":174,"props":282,"children":284},{"class":176,"line":283},6,[285,289,294],{"type":40,"tag":174,"props":286,"children":287},{"style":197},[288],{"type":46,"value":243},{"type":40,"tag":174,"props":290,"children":291},{"style":197},[292],{"type":46,"value":293}," OTEL_EXPORTER_OTLP_ENDPOINT=http:\u002F\u002Fotel-collector:4318",{"type":40,"tag":174,"props":295,"children":296},{"style":213},[297],{"type":46,"value":216},{"type":40,"tag":174,"props":299,"children":301},{"class":176,"line":300},7,[302,307,312],{"type":40,"tag":174,"props":303,"children":304},{"style":197},[305],{"type":46,"value":306},"  -p",{"type":40,"tag":174,"props":308,"children":309},{"style":197},[310],{"type":46,"value":311}," 8999:8999",{"type":40,"tag":174,"props":313,"children":314},{"style":213},[315],{"type":46,"value":216},{"type":40,"tag":174,"props":317,"children":319},{"class":176,"line":318},8,[320],{"type":40,"tag":174,"props":321,"children":322},{"style":197},[323],{"type":46,"value":324},"  grafana\u002Fbeyla\n",{"type":40,"tag":174,"props":326,"children":328},{"class":176,"line":327},9,[329],{"type":40,"tag":174,"props":330,"children":332},{"emptyLinePlaceholder":331},true,[333],{"type":46,"value":334},"\n",{"type":40,"tag":174,"props":336,"children":338},{"class":176,"line":337},10,[339],{"type":40,"tag":174,"props":340,"children":341},{"style":181},[342],{"type":46,"value":343},"# 2. Generate some traffic\n",{"type":40,"tag":174,"props":345,"children":347},{"class":176,"line":346},11,[348,353,358,364,369],{"type":40,"tag":174,"props":349,"children":350},{"style":191},[351],{"type":46,"value":352},"curl",{"type":40,"tag":174,"props":354,"children":355},{"style":197},[356],{"type":46,"value":357}," http:\u002F\u002Flocalhost:8080\u002F",{"type":40,"tag":174,"props":359,"children":361},{"style":360},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[362],{"type":46,"value":363}," ;",{"type":40,"tag":174,"props":365,"children":366},{"style":191},[367],{"type":46,"value":368}," curl",{"type":40,"tag":174,"props":370,"children":371},{"style":197},[372],{"type":46,"value":373}," http:\u002F\u002Flocalhost:8080\u002Fapi\u002Fusers\u002F42\n",{"type":40,"tag":174,"props":375,"children":377},{"class":176,"line":376},12,[378],{"type":40,"tag":174,"props":379,"children":380},{"emptyLinePlaceholder":331},[381],{"type":46,"value":334},{"type":40,"tag":174,"props":383,"children":385},{"class":176,"line":384},13,[386],{"type":40,"tag":174,"props":387,"children":388},{"style":181},[389],{"type":46,"value":390},"# 3. 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Verify traces — in Grafana Explore on Tempo, search by service.name (default = process name)\n",{"type":40,"tag":174,"props":456,"children":458},{"class":176,"line":457},17,[459],{"type":40,"tag":174,"props":460,"children":461},{"style":181},[462],{"type":46,"value":463},"#    Or: query Tempo's search API for spans with service.name=\"\u003Capp>\"\n",{"type":40,"tag":156,"props":465,"children":467},{"id":466},"_2-deploy-as-a-cluster-wide-daemonset",[468],{"type":46,"value":469},"2. Deploy as a cluster-wide DaemonSet",{"type":40,"tag":53,"props":471,"children":472},{},[473,475,484],{"type":46,"value":474},"Full DaemonSet + RBAC YAML lives in ",{"type":40,"tag":65,"props":476,"children":478},{"href":477},"references\u002Fkubernetes.md",[479],{"type":40,"tag":102,"props":480,"children":482},{"className":481},[],[483],{"type":46,"value":477},{"type":46,"value":485},". 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Trigger on phrases like \"list conversations\", \"search generations\", \"what did the agent do\", \"debug LLM conversation\", \"create evaluator\", \"set up evaluation rule\", \"test evaluator\", \"check scores\", \"evaluate generation quality\", or \"set up online evaluation\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1118,1121,1122,1123],{"name":1119,"slug":1120,"type":15},"Agents","agents",{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},430,"https:\u002F\u002Fgithub.com\u002Fgrafana\u002Fgcx","2026-07-25T05:30:40.29622",{"slug":1128,"name":1128,"fn":1129,"description":1130,"org":1131,"tags":1132,"stars":1124,"repoUrl":1125,"updatedAt":1142},"agento11y-instrument","instrument LLM apps for agent observability","Sets up and instruments a developer's own LLM app or agent to send generations and agentic workflow to Grafana Agent Observability (the Agent Observability SDKs) — greenfield setup, fixing broken instrumentation, or filling gaps in existing instrumentation. 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Pulls SDK reference from agento11y's llms.txt rather than restating it, and hands off to `agento11y-test-starter` once data flows. It does NOT write test suites or set up tenant evaluations, rules, or guards — offline test suites are `agento11y-test-starter`, tenant eval rules + guards are `agento11y-prod-setup`; does NOT install coding-agent telemetry plugins (that is llms.txt \"Path A\"); does NOT mint or store credentials or invent endpoints. Trigger on phrases like \"instrument my app\", \"send my agent's traces to Grafana\", \"set up AI observability for my app\", \"my generations aren't showing up\", \"why is Performance empty\", \"add Agent Observability to my code\", \"fix my instrumentation\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1133,1134,1135,1138,1141],{"name":1119,"slug":1120,"type":15},{"name":9,"slug":8,"type":15},{"name":1136,"slug":1137,"type":15},"Instrumentation","instrumentation",{"name":1139,"slug":1140,"type":15},"LLM","llm",{"name":13,"slug":14,"type":15},"2026-07-31T05:53:52.580237",{"slug":1144,"name":1144,"fn":1145,"description":1146,"org":1147,"tags":1148,"stars":1124,"repoUrl":1125,"updatedAt":1155},"agento11y-prod-setup","setup production evaluation for AI agents","Sets up production evaluation and guardrails for a DEPLOYED AI agent in Grafana Agent Observability, grounded in the agent's own code and its real ingested traffic. The judgment layer on top of the `agento11y` skill: it reads the agent's source (system prompt, tools, entrypoint) AND samples its live traffic via gcx, checks what evaluators\u002Frules\u002Fguards already exist, then recommends only what's missing — online eval rules (score live conversations for regressions) and guards (warn-first request-path policies that redact \u002F tool-filter and may later be promoted to deny). It drafts reviewable YAML and, only with explicit confirmation, applies via `gcx agento11y`. New guards are drafted in warn mode (safe on live traffic — warn records but never blocks). It DOES create stack-level objects — that is the point — but every write is confirmed. It never rewrites or redeploys the agent. Trigger on phrases like \"set up production evaluation\", \"my agent is in prod what should I evaluate\", \"catch quality regressions\", \"add guardrails to my agent\", \"redact PII from my agent\", \"block dangerous tools\", \"set up online evals and guards\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1149,1150,1153,1154],{"name":1119,"slug":1120,"type":15},{"name":1151,"slug":1152,"type":15},"Evals","evals",{"name":9,"slug":8,"type":15},{"name":13,"slug":14,"type":15},"2026-07-31T05:53:53.576347",{"slug":1157,"name":1157,"fn":1158,"description":1159,"org":1160,"tags":1161,"stars":1124,"repoUrl":1125,"updatedAt":1170},"agento11y-test-starter","build and run agent test suites","Use early in an AI-agent project — before ship, before real traffic — to build a starter test suite for the agent and run it offline. Reads the agent's own code (system prompt, tools, task), writes a labeled draft suite of test cases (happy\u002Fedge\u002Fadversarial) grounded in real lines, and recommends how to score each case (the evaluators\u002Fjudges the offline runner uses). Assesses how runnable the agent is: for an easily-invoked agent it generates a runner stub (run_experiment.py) with two holes to fill and can optionally run it (only with permission, only against the endpoint the developer configured); for agents needing a harness or full runtime it points to the existing eval infra. It runs OFFLINE and never creates tenant-level evaluators, rules, or guards — that is `agento11y-prod-setup`, for a deployed agent with real traffic. Trigger on phrases like \"how do I test my agent before shipping\", \"write test cases for my agent\", \"set up tests for my agent\", \"check my agent before prod\", \"I have no traffic yet, how do I evaluate it\", \"test my agent offline\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1162,1163,1164,1167],{"name":1119,"slug":1120,"type":15},{"name":9,"slug":8,"type":15},{"name":1165,"slug":1166,"type":15},"QA","qa",{"name":1168,"slug":1169,"type":15},"Testing","testing","2026-07-31T05:53:51.62785",{"slug":1172,"name":1172,"fn":1173,"description":1174,"org":1175,"tags":1176,"stars":1124,"repoUrl":1125,"updatedAt":1187},"create-dashboard","create Grafana dashboards with gcx","Designs and creates Grafana dashboards with gcx, using `gcx dashboards snapshot` as a visual feedback loop. Use when the user wants to create a new Grafana dashboard, add panels, variables, or annotations to an existing dashboard, design dashboard panels, variables, queries, or layout, or make a material visual redesign. Triggers on \"create dashboard\", \"new dashboard\", \"build dashboard\", \"dashboard for \u003Cservice>\", \"add panels\", \"add variable\", \"add annotation\", \"improve this dashboard\", or \"iterate on a dashboard\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1177,1180,1183,1186],{"name":1178,"slug":1179,"type":15},"Dashboards","dashboards",{"name":1181,"slug":1182,"type":15},"Data Visualization","data-visualization",{"name":1184,"slug":1185,"type":15},"Design","design",{"name":9,"slug":8,"type":15},"2026-07-25T05:30:46.289717",{"slug":1189,"name":1189,"fn":1190,"description":1191,"org":1192,"tags":1193,"stars":1124,"repoUrl":1125,"updatedAt":1202},"debug-with-grafana","investigate application issues with Grafana","Structured workflow for investigating application problems with Grafana observability data (metrics, logs, traces) via gcx. Covers live firefighting AND retrospective incident analysis: incident triage, root-cause analysis, blast-radius checks (did an incident spill into other services), verifying whether a deployment or rollout triggered an incident, finding which service, endpoint, or path owns the most errors or slow requests, checking whether retries or queue backlogs piled up, and quantifying error or latency shares over a time window. Trigger on: \"my API is returning 500 errors\", \"latency is spiking\", \"investigate why requests are failing\", \"triage the incident\", \"blast radius\", \"root cause\", \"did the rollout cause it\", \"which endpoint owns the most 5xx\", \"did retries pile up\", or any request to analyse an earlier incident window using telemetry. For authoring dashboards use create-dashboard; for dashboard inventory use manage-dashboards.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1194,1197,1198,1201],{"name":1195,"slug":1196,"type":15},"Debugging","debugging",{"name":9,"slug":8,"type":15},{"name":1199,"slug":1200,"type":15},"Incident Response","incident-response",{"name":13,"slug":14,"type":15},"2026-07-18T05:11:10.445428",{"slug":1204,"name":1204,"fn":1205,"description":1206,"org":1207,"tags":1208,"stars":1124,"repoUrl":1125,"updatedAt":1215},"diagnose-entity-graph","diagnose Grafana Entity Graph issues","Diagnose Entity Graph problems: missing entities, missing edges, disconnected clusters, or filtering issues. Use when the user reports that Entity Graph doesn't look right, services are missing, edges aren't appearing, or environments can't be filtered. Triggers for: \"entity graph is empty\", \"services missing from entity graph\", \"no edges in entity graph\", \"disconnected services\", \"can't filter entity graph\", \"entity graph not working\", \"diagnose entity graph\", \"debug knowledge graph\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1209,1210,1211,1214],{"name":1195,"slug":1196,"type":15},{"name":9,"slug":8,"type":15},{"name":1212,"slug":1213,"type":15},"Graph Analysis","graph-analysis",{"name":13,"slug":14,"type":15},"2026-07-25T05:30:39.380934",{"slug":1217,"name":1217,"fn":1218,"description":1219,"org":1220,"tags":1221,"stars":1124,"repoUrl":1125,"updatedAt":1230},"gcx","manage Grafana Cloud resources via gcx","Manages Grafana Cloud resources via the gcx CLI. Trigger when the user wants to inspect, create, update, delete, query, or automate any Grafana resource - dashboards, datasources, alerts, SLOs, synthetic checks, oncall, incidents, fleet, k6, knowledge graph, or adaptive telemetry.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1222,1225,1226,1227],{"name":1223,"slug":1224,"type":15},"CLI","cli",{"name":9,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":1228,"slug":1229,"type":15},"Operations","operations","2026-07-31T05:53:50.587304",{"slug":1232,"name":1232,"fn":1233,"description":1234,"org":1235,"tags":1236,"stars":1124,"repoUrl":1125,"updatedAt":1242},"gcx-demo","present gcx demo tours","Run a narrated, read-only demo tour of gcx for customer or colleague presentations. Showcases the breadth of gcx across every Grafana Cloud product area — resources, datasources, metrics, logs, traces, SLOs, alerts, synthetic monitoring, IRM, k6, fleet, and more. All commands are strictly read-only. Trigger when the user says \"demo gcx\", \"show off gcx\", \"customer demo\", \"gcx tour\", or \"\u002Fgcx-demo\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1237,1238,1239],{"name":1223,"slug":1224,"type":15},{"name":9,"slug":8,"type":15},{"name":1240,"slug":1241,"type":15},"Presentations","presentations","2026-07-25T05:30:45.282458",80,{"items":1245,"total":1350},[1246,1261,1276,1292,1305,1321,1335],{"slug":1247,"name":1247,"fn":1248,"description":1249,"org":1250,"tags":1251,"stars":23,"repoUrl":24,"updatedAt":1260},"adaptive-metrics","optimize Grafana Cloud metrics costs","Cut Grafana Cloud Metrics cost by shrinking active-series count with Adaptive Metrics aggregation rules — auto-recommendations from query history, custom exact\u002Fregex rules, label-drop config, unused-metric detection, and Alloy remote_write fallback. Use when investigating a high Mimir\u002FGrafana Cloud bill, hunting high-cardinality labels (`pod_uid`, `service_instance_id`, `version`), pre-aggregating counters\u002Fgauges, dropping unused metrics, or measuring `grafanacloud_instance_active_series` before\u002Fafter — even when the user says \"reduce cardinality\", \"too many series\", \"metrics spend\", \"active series count is exploding\", or \"drop the version label\" without naming Adaptive Metrics.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1252,1255,1256,1259],{"name":1253,"slug":1254,"type":15},"Cost Optimization","cost-optimization",{"name":9,"slug":8,"type":15},{"name":1257,"slug":1258,"type":15},"Metrics","metrics",{"name":13,"slug":14,"type":15},"2026-07-12T07:44:27.451068",{"slug":1262,"name":1262,"fn":1263,"description":1264,"org":1265,"tags":1266,"stars":23,"repoUrl":24,"updatedAt":1275},"admin","manage Grafana Cloud accounts and RBAC","Manage Grafana Cloud accounts — organizations, stacks, RBAC roles and assignments, SSO\u002FSAML\u002FOAuth\u002FGitHub auth, service accounts for CI\u002FCD, user invites, team membership, and API-driven provisioning. Creates stacks via the Cloud API, mints service-account tokens, applies role assignments, configures SSO providers, and provisions teams\u002Ffolders\u002Fdashboards via Terraform. Use when managing Grafana Cloud access, configuring SSO\u002FSAML\u002FOAuth, setting up service accounts for Terraform\u002FCI\u002FCD, assigning RBAC roles, inviting users, managing multiple stacks or organizations, provisioning cloud resources via API or Terraform, or auditing admin actions — even when the user says \"set up SSO\", \"create a stack\", \"make a service account\", or \"onboard a team\" without explicitly saying \"admin\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1267,1270,1273,1274],{"name":1268,"slug":1269,"type":15},"Access Control","access-control",{"name":1271,"slug":1272,"type":15},"Auth","auth",{"name":9,"slug":8,"type":15},{"name":1228,"slug":1229,"type":15},"2026-07-12T07:44:12.078436",{"slug":1277,"name":1277,"fn":1278,"description":1279,"org":1280,"tags":1281,"stars":23,"repoUrl":24,"updatedAt":1291},"admission-control","implement admission control webhooks","Use when the user asks to \"write a validator\", \"add validation\", \"implement admission control\", \"write a mutating webhook\", \"add a mutation handler\", \"validate incoming resources\", \"implement admission logic\", \"add admission webhooks\", \"write ingress validation\", or asks how to validate or mutate resources before they are persisted in a grafana-app-sdk app. Provides guidance on implementing validation and mutation admission handlers for grafana-app-sdk apps.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1282,1285,1288],{"name":1283,"slug":1284,"type":15},"Architecture","architecture",{"name":1286,"slug":1287,"type":15},"Security","security",{"name":1289,"slug":1290,"type":15},"Validation","validation","2026-07-12T07:45:06.148973",{"slug":1293,"name":1293,"fn":1294,"description":1295,"org":1296,"tags":1297,"stars":23,"repoUrl":24,"updatedAt":1304},"alerting-irm","configure Grafana Alerting and Incident Management","Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack\u002FPagerDuty\u002Femail\u002Fwebhook), notification policies with hierarchical matchers, silences, mute timings, on-call schedules and escalation chains, incident-management integrations, and SLOs with multi-window burn-rate alerts. Use when configuring alerts, debugging notification routing, setting up on-call rotations, declaring or managing incidents, defining SLOs, provisioning alerting via YAML or API, picking matchers for a notification policy, building a PagerDuty\u002FSlack webhook receiver, or troubleshooting why an alert isn't firing — even when the user says \"page me on errors\", \"alert me when X happens\", \"route this to the platform team\", or \"set up an SLO\" without naming Alerting or IRM.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1298,1301,1302,1303],{"name":1299,"slug":1300,"type":15},"Alerting","alerting",{"name":9,"slug":8,"type":15},{"name":1199,"slug":1200,"type":15},{"name":20,"slug":21,"type":15},"2026-07-12T07:44:02.393397",{"slug":1306,"name":1306,"fn":1307,"description":1308,"org":1309,"tags":1310,"stars":23,"repoUrl":24,"updatedAt":1320},"alloy","build unified telemetry pipelines with Grafana Alloy","Build a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud \u002F Prometheus \u002F Loki \u002F Tempo \u002F Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` → `remote_write`, `loki.source.file` + `loki.process` → `loki.write`, `otelcol.receiver.otlp` → `otelcol.exporter.otlp`, `pyroscope.scrape`, K8s \u002F Docker \u002F EC2 discovery, relabeling, modules (`import.file\u002Fgit\u002Fhttp`), clustering, Fleet Management `remotecfg`, the Alloy UI at `:12345`, and `alloy fmt` \u002F `alloy validate`. Use when writing a `config.alloy`, replacing Grafana Agent \u002F OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging \"Alloy isn't sending anything\" — even when the user says \"set up the agent\", \"write me a scrape config\", \"drop these logs before sending\", or \"OTel collector config\" without naming Alloy.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1311,1312,1315,1316,1317],{"name":9,"slug":8,"type":15},{"name":1313,"slug":1314,"type":15},"Logs","logs",{"name":1257,"slug":1258,"type":15},{"name":13,"slug":14,"type":15},{"name":1318,"slug":1319,"type":15},"OpenTelemetry","opentelemetry","2026-07-12T07:43:54.817139",{"slug":1322,"name":1322,"fn":1323,"description":1324,"org":1325,"tags":1326,"stars":23,"repoUrl":24,"updatedAt":1334},"app-observability","monitor application performance in Grafana Cloud","Get RED metrics + service maps + frontend RUM + AI\u002FLLM monitoring out of Grafana Cloud — Application Observability (`traces_spanmetrics_*` from OTel traces, p50\u002Fp95\u002Fp99 latency, exemplar-to-trace, traces-to-logs \u002F profiles), Frontend Observability with the Faro Web SDK (Core Web Vitals, session replay, `pushError`, React + router integration, `TracingInstrumentation` for browser → backend trace correlation), and AI Observability via OpenLIT (token \u002F cost \u002F latency, GPU, hallucination + toxicity evals). Use when standing up APM for a service, wiring an Alloy OTLP receiver + forwarding to Cloud, instrumenting a React frontend for RUM, debugging why service-map edges are missing, monitoring LLM cost drift, or correlating a frontend error to its backend trace — even when the user says \"set up APM\", \"show service map\", \"monitor browser perf\", \"session replay\", \"RUM SDK\", or \"watch our OpenAI bill\" without naming App \u002F Frontend \u002F AI Observability.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1327,1330,1331,1332,1333],{"name":1328,"slug":1329,"type":15},"APM","apm",{"name":1063,"slug":1064,"type":15},{"name":9,"slug":8,"type":15},{"name":1139,"slug":1140,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:44:34.500406",{"slug":1336,"name":1336,"fn":1337,"description":1338,"org":1339,"tags":1340,"stars":23,"repoUrl":24,"updatedAt":1349},"app-sdk-concepts","scaffold and configure Grafana apps","Use when starting any grafana-app-sdk work — scaffolding a Grafana app, initializing a Grafana App Platform app, picking a deployment mode (standalone operator \u002F grafana\u002Fapps \u002F frontend-only), wiring app-specific config, or onboarding to the SDK. Covers `grafana-app-sdk` CLI install, `project init` per deployment mode, project layout, the schema-centric workflow (CUE kinds → generated code → reconciler\u002Fadmission logic), and `SpecificConfig` for env-driven app configuration. Use even if the user just says \"make a new app\", \"Grafana app platform\", \"kinds and watchers\", \"operator scaffold\", or asks about `apps\u002F` inside the Grafana repo, without naming the SDK explicitly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1341,1342,1345,1348],{"name":1283,"slug":1284,"type":15},{"name":1343,"slug":1344,"type":15},"Deployment","deployment",{"name":1346,"slug":1347,"type":15},"Engineering","engineering",{"name":9,"slug":8,"type":15},"2026-07-12T07:45:08.595757",48]