Query Elasticsearch logs, APM traces, and errors via REST API.
npx skills add https://github.com/athal7/dotfiles --skill elasticsearch-athal7
Please help me install this Agent Skill. Skill: elasticsearch Source: https://github.com/athal7/dotfiles/tree/main/skills/elasticsearch Command: npx skills add https://github.com/athal7/dotfiles --skill elasticsearch-athal7
Query and correlate logs, APM traces, and errors stored in Elasticsearch using REST APIs, with guidance on index patterns, fields, and time-range syntax.
Run a basic search against logs-*/_search to retrieve recent events and inspect fields like @timestamp, log.level, service.name, and message.
High-intent search queries and answers about installing and using this skill.
Query Elasticsearch logs by running time-bounded searches against the logs-*/_search REST API endpoint to surface recent events using fields like @timestamp, log.level, service.name, and message for incident investigation.
Locate slow transactions in Elasticsearch APM traces by querying the traces-apm* indices through the REST API to inspect transaction metadata and identify performance hotspots during performance analysis.
Analyze Elasticsearch error groups by querying the logs-apm.error-* indices through the REST API to identify error patterns and extract useful fields like service.name and log.level for debugging.
Elasticsearch observability queries require time-range syntax such as now-1h to construct effective time-bounded searches across logs-* and traces-apm* indices using the @timestamp field.
Searching Elasticsearch logs and traces requires index patterns like logs-*, traces-apm*, and logs-apm.error-*, along with field names including @timestamp, log.level, service.name, and message to construct effective queries.
Yes, Elasticsearch observability queries require specific index patterns like logs-*, traces-apm*, and logs-apm.error-* to surface relevant events, correlate logs with APM traces, and identify error groups for incident investigation.
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