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DevOps / Bamboo: Continuous Integration & Deployment Interview Questions

How can you optimize slow Bamboo build times?

Slow builds usually come from one of a few repeatable causes, and the fixes map directly to them:

  1. Not enough parallelism — split a monolithic job into multiple jobs (e.g. separate unit tests from integration tests) so they run concurrently across agents instead of one long sequential job.
  2. Dependency re-download every run — cache Maven/npm/Gradle dependency directories on the agent instead of fetching them fresh each time.
  3. Agent contention — if jobs are queueing, add more remote agents or use Elastic Bamboo to scale agent count with demand rather than running everything through a handful of static agents.
  4. Oversized checkout — use shallow clones for plans that don't need full repository history.
  5. Wrong capability matching — overly broad requirements can send jobs to agents that then have to install missing tools first; keep capability declarations tight and accurate.

The queue/timeline view in Bamboo is the first place to look — it shows whether time is lost waiting for an agent versus time spent actually executing tasks, which tells you whether to fix capacity or fix the pipeline itself.

If Bamboo's timeline shows jobs mostly waiting rather than executing, what's the likely fix?
Which optimization avoids re-downloading dependencies on every single build?

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