claude

observability

Query and investigate traces, logs, and metrics from an OpenSearch-based observability stack using PPL and PromQL

44 on GitHubby OpenSearch Projectv1.0.0Apache-2.0updated 2 days ago
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Plugin observability from marketplace observability-stack in opensearch-project/observability-stack. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (9)

  • apm-red

    APM RED metrics (Rate, Errors, Duration) for service-level monitoring using PromQL and PPL queries.

  • correlation

    Cross-signal correlation between traces, logs, and metrics using OTel semantic convention fields for end-to-end observability investigations.

  • logs

    Query and search log data from OpenSearch using PPL for severity filtering, trace correlation, error patterns, and log volume analysis.

  • metrics

    Query metrics from Prometheus using PromQL for HTTP request rates, latency percentiles, error rates, active connections, and GenAI token usage.

  • osd-config

    Query OpenSearch Dashboards APIs for workspace configuration, index pattern discovery, APM correlation configs, and saved objects.

  • ppl-reference

    Comprehensive PPL (Piped Processing Language) reference for OpenSearch with command syntax, functions, and examples for observability queries.

  • slo-sli

    SLO/SLI definitions, Prometheus recording rules, error budget calculations, and burn rate alerting for service reliability management.

  • stack-health

    Check observability stack component health, verify data ingestion, and troubleshoot common issues.

  • traces

    Query and investigate trace data from OpenSearch using PPL for agent invocations, tool executions, errors, latency, and token usage analysis.

View source on GitHub observability.opensearch.org

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Maintain observability?

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