Log management is the discipline of collecting, aggregating, storing, indexing and analysing the event records emitted by applications, services and infrastructure. It provides a centralised, searchable record of system behaviour that underpins debugging, performance analysis, security investigation and compliance auditing. Pipelines typically ingest structured and unstructured logs, normalise them, enforce retention policies and expose them through query and alerting interfaces.
- Log management collects, aggregates, indexes and retains event records from across a system, turning raw Data into a searchable record that supports Observability and Incident Response.
- It is a foundational practice within Infrastructure operations and security.
Overview
- A log management pipeline ingests logs from many sources, parses and normalises them into a common schema, and writes them to an indexed store optimised for time-range and full-text queries.
- Retention, rotation and archival policies balance investigative value against storage cost and regulatory requirements.
- Correlation across logs, metrics and traces is the basis of modern Observability.
Key aspects
- Centralised collection and aggregation from distributed sources.
- Parsing and normalisation into structured, queryable events.
- Indexing for fast search and time-series analysis.
- Retention, rotation and tamper-evident archival for audit.
- Alerting on patterns, thresholds and anomalies.
Applications
- Debugging and Root Cause Analysis of production incidents.
- Security monitoring feeding Security Information and Event Management and SIEM platforms.
- Compliance and audit through immutable Audit Log retention.
- Capacity planning and performance analysis.