Definition
Collecting, centralizing, and analyzing log data from multiple services and servers in a single searchable platform.
In Depth
Log aggregation tools like ELK Stack (Elasticsearch, Logstash, Kibana), Loki/Grafana, and Datadog Logs collect logs from all services into a searchable, queryable platform. This enables cross-service debugging, anomaly detection, and audit trails.
Example Usage
Centralizing Gunicorn access logs, Django error logs, and Nginx logs to quickly diagnose why a specific API request failed.
Business Context
Without log aggregation, debugging production issues requires SSH-ing into individual servers and grep-ing through files — impossibly slow during incidents.
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