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Log management covers collection, transport, storage and analysis of application and system logs. It defines structured processes for ingestion, indexing, retention and search to support troubleshooting, security monitoring and compliance. Effective log management lowers MTTR, improves observability and enables forensic investigations.
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Log management covers the organizational and technical processes for collecting, transporting, storing, searching, protecting, and retaining log data.
It grew from a distributed-systems operations problem: individual log files no longer suffice for troubleshooting, security, and compliance. The OpenTelemetry Logs Specification and Collector continue this evolution toward standardized processing that preserves source and context.
View log management as a supply chain: events are emitted, enriched, collected, stored, indexed, and deleted by policy. Every stage affects cost, discoverability, privacy, and evidentiary value.
Policies define how long log data remains available and when it is deleted.
Logs from multiple sources become usable through a shared store or pipeline.
Log management makes logs discoverable and governable in operations. It connects diagnosis with cost, privacy, and retention decisions.
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