Log Aggregation
In plain terms
Centralizing logs from many sources for search and analysis.
Going deeper
Log aggregation collects logs from across systems into one searchable place, enabling unified troubleshooting and analysis. It ends per-server log hunting.
Under the hood
Pipelines (Fluentd, Logstash) ship logs to stores (Elasticsearch, Loki) for querying.
Examples
ELK stack, Loki, Splunk, centralized logging, troubleshooting.
Think of it like...
Like gathering every department's records into one searchable central archive.