with one click
observability-stack
observability-stack contains 9 collected skills from opensearch-project, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
APM RED metrics (Rate, Errors, Duration) for service-level monitoring using PromQL and PPL queries.
Cross-signal correlation between traces, logs, and metrics using OTel semantic convention fields for end-to-end observability investigations.
Query and search log data from OpenSearch using PPL for severity filtering, trace correlation, error patterns, and log volume analysis.
Query metrics from Prometheus using PromQL for HTTP request rates, latency percentiles, error rates, active connections, and GenAI token usage.
Query OpenSearch Dashboards APIs for workspace configuration, index pattern discovery, APM correlation configs, and saved objects.
Comprehensive PPL (Piped Processing Language) reference for OpenSearch with command syntax, functions, and examples for observability queries.
SLO/SLI definitions, Prometheus recording rules, error budget calculations, and burn rate alerting for service reliability management.
Check observability stack component health, verify data ingestion, and troubleshoot common issues.
Query and investigate trace data from OpenSearch using PPL for agent invocations, tool executions, errors, latency, and token usage analysis.