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DevOps Intermediate

What is Log Aggregation?

The process of collecting, centralizing, and indexing log data from multiple sources for unified search and analysis.

In distributed systems, logs are scattered across many servers and services. Log aggregation collects them into a central platform for searching, filtering, alerting, and visualization. This is essential for debugging and monitoring.

The ELK Stack (Elasticsearch, Logstash, Kibana) is the most popular open-source solution. Alternatives include Grafana Loki, Splunk, and Datadog Logs. Structured logging (JSON format) makes logs easier to query and analyze.

Related Terms

Artifact Repository
A centralized storage system for build artifacts like compiled binaries, packages, and container images used in CI/CD pipelines.
Infrastructure Drift
The divergence between the actual state of infrastructure and its defined desired state, caused by manual changes or untracked modifications.
Runbook
A documented set of standardized procedures for handling routine operations and incident response in production systems.
Service Mesh
An infrastructure layer that handles service-to-service communication, providing load balancing, encryption, and observability.
Trunk-Based Development
A source control strategy where developers integrate small changes directly into the main branch frequently, often multiple times per day.
Kubernetes Secret
A Kubernetes object for storing sensitive data like passwords, tokens, and certificates, with base64 encoding and optional encryption at rest.
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