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Log management platform

As explained in Effective Platform Engineering

A log management system is software that collects, stores, aggregates, searches, and analyzes log records.

A log management platform collects, validates, formats, stores, aggregates, searches, and analyzes log records describing system events and application behavior. section 5.1.4

A dedicated log-ingestion pipeline processes log data into a storage backend, while query APIs and dashboards support historical analysis, trend discovery, and troubleshooting alongside metrics and traces. section 5.1.4 section 5.1.4

Kubernetes observability MVP

An engineering platform can trial log management while exploring observability for Kubernetes and its applications, using dashboards to investigate system health and application behavior. section 5.1.4

How Effective Platform Engineering covers it

How deep it goes
Describes ingestion validation, formatting, parsing, backend storage, query APIs, and dashboards, but does not specify implementation technology.
Examples
Uses Kubernetes observability exploration, application events, historical queries, dashboards, and alerts as concrete operating artifacts.
What you can do after
Diagnose problems by querying historical log data and combining it with metrics and traces in dashboards.
How it connects
Connects logs with metrics, traces, distributed tracing, dashboards, observability systems, and Kubernetes monitoring.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Effective Platform Engineering. The section links point to the parts of the book it draws on.