Log management: what to consider before design
Logos are only valuable when they support incident triage, auditability and operational decisions. Before designing the solution, clarify its purpose, ownership, and cost model (retention, volumes, indexes).
The logos answer why the incident happened a where arose.
Without clear use-cases, normalization and retention, logos become expensive storage with no value.
The minimum standard is a few critical resources, common fields, reasonable retention and clear pipeline ownership.
Key questions
- Use-cases: what do you really need logs for (incidents, audit, forensic analysis, performance)?
- Sources: which logs are critical (identity/auth, DNS, edge/WAF/LB, systems, applications, DB)?
- Availability: can you quickly find and correlate logs in an incident?
- Normalization: do you have agreed key fields (user, host, service, request_id, severity)?
- Retention: operative vs. audit - what to keep in the short term and what in the long term?
- Costs: do you know the volumes (GB/day), growth and price for ingest, storage and browsing?
- Sensitive data: how do you handle PII, cloaking, access and auditing of logo access?
- Ownership: who owns ingest, parsing and changes for new formats?
Practical first steps
Start with a small but high-quality range: select the 3-5 most important sources, agree common fields and set retention according to purpose. Only then expand the coverage.
Monitoring will say that there is a problem. The logs will tell why and where. They work best together - with a clear incident process and runbooks.