Observability Service Health

Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies.

When your AI uses it

Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate, and dependencies. Use when checking service status, performance, or when the user asks about service health.This is the skill's description: the text your AI reads to decide when the skill applies.

elastichealthobservabilityservice

Read exactly what your AI will be told

elastic-service-health/SKILL.md

Elastic · Apache-2.0 · source

---
name: observability-service-health
description: >
  Assess APM service health using SLOs, alerts, ML, throughput, latency, error rate,
  and dependencies. Use when checking service status, performance, or when the user
  asks about service health.
metadata:
  author: elastic
  version: 0.1.0
---

# APM Service Health

Assess APM service health using [Observability APIs](https://www.elastic.co/docs/solutions/observability/apis),
**ES|QL** against APM indices, Elasticsearch APIs, and (for correlation and APM-specific logic) the Kibana repo. Use
SLOs, firing alerts, ML anomalies, throughput, latency (avg/p95/p99), error rate, and dependency health.

## Where to look

- **Observability APIs** ([Observability APIs](https://www.elastic.co/docs/solutions/observability/apis)): Use the
  **SLOs API** ([Stack](https://www.elastic.co/docs/api/doc/kibana/group/endpoint-slo) |
  [Serverless](https://www.elastic.co/docs/api/doc/serverless/group/endpoint-slo)) to get SLO definitions, status, burn
  rate, and error budget. Use the **Alerting API**
  ([Stack](https://www.elastic.co/docs/api/doc/kibana/group/endpoint-alerting) |
  [Serverless](https://www.elastic.co/docs/api/doc/serverless/group/endpoint-alerting)) to list and manage alerting