Practical Tips for Build Optimization for GitLab and Docker Users
summary
Practical build-optimization rules for teams using GitLab CI and Docker: treat artifacts, cache, and persistent volumes as different mechanisms (artifacts only within a single pipeline; caches and volumes survive across pipelines), set dependencies=[] to avoid implicit artifact downloads, and prefer persistent volumes or local caches for Gradle dependencies. Enable Gradle dependency cache (remote build cache only if builds run on the same machine) to save ~30s–2min and use compilation caching to save additional seconds; enable Docker layer cache with docker pull + --cache-from and arrange Dockerfile commands so long installs are above frequently changed steps.
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chapters (26)
- 0:00Introduction
- 1:03GitLab CI incremental builds
- 3:10GitLab CI artifacts cache
- 4:13Pipeline artifacts role
- 6:23GitLab CI artifact mistakes
- 7:49GitLab caching types
- 9:16Cache keys impact
- 11:43Shared cache in GitLab CI
- 13:29Trade-offs with shared cache
- 14:34Artifacts vs cache vs volumes
- 15:36Gradle build optimizations
- 16:21Gradle dependency cache
- 16:44Gradle incremental builds
- 17:29Gradle remote cache
- 18:54Gradle Java compilation
- 20:00Gradle optimization analysis
- 23:13Gradle optimization tips
- 24:14Gradle cache mistakes
- 25:59Gradle persistent volumes
- 27:07Gradle incremental config
- 28:58Docker layer cache
- 29:39Docker cache mechanics
- 31:03When to use Docker cache
- 32:31Dockerfile command order
- 34:44Docker cache mistakes
- 35:46Q&A
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