Easylogs

The challenge

Observability products live or die on ingestion and query performance, and on an interface that makes a problem findable at the moment someone is under pressure to find it.

Scope

Ingestion, storage, query, and the developer-facing interface over the top, plus the infrastructure to run it.

What the factory did

• Existing code and prior architectural decisions were read as context before anything was planned.
• Large requirements were broken into tickets small enough to verify individually.
• Failures went back for a fix and re-ran the checks rather than arriving on a reviewer's desk.

Where the engineers were involved

• Data model and retention decisions made by an engineer, not inferred by the pipeline.
• Review gate held on every release.

Outcome

Shipped and running, with the full trail from requirement to release preserved.