Reading Graylog (Log Search & Streams)

What centralized logging actually is, how to search across dozens of servers from one box, and how streams, dashboards, and alerts turn a flood of logs into something you can stand on.

1. Why Centralized Logs On one box you grep a file; across a fleet you can't - so Graylog and ELK ship every log into one searchable place, where the big shift is structured fields instead of raw text.
2. Searching Effectively The query model: field:value searches, time-range scoping as your biggest lever, boolean operators, following one request by its correlation id, and reading the histogram to find the spike.
3. Streams, Dashboards & Alerts Route subsets of logs into streams (like just prod ERRORs), save dashboards you can glance at, and alert on log conditions so the system pages you - plus the trade-offs of what to log, retention, and never logging secrets.