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deployment
Cascade Modified Dockerfile - Docker Build Timeout
Docker build takes excessive time or fails with OOM errors after Cascade modified the Dockerfile. The multi-stage build was restructured inefficiently, causing large intermediate layers or missing cache optimization.
Container builds now fail in CI/CD pipelines due to timeout or resource constraints.
Error Messages You Might See
Step 15/25 : ERROR: cannot allocate memory
Docker build exceeded timeout 3600 seconds
Gradle out of memory: Java heap space
Common Causes
- Cascade combined build stages, breaking layer caching strategy
- Cascade added large dependencies/resources to base layer instead of final layer
- Build arguments or environment variables not passed correctly
- Gradle build inside Docker runs without proper JVM memory settings
How to Fix It
Review git diff of Dockerfile for structural changes. Ensure multi-stage builds leverage caching - dependencies layer should rebuild rarely. Move expensive operations as late as possible. Set Docker build memory limits: docker build --memory=2gb. Consider using .dockerignore to exclude unnecessary files.
Real developers can help you.
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SW engineer with 6+ years of experience,
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Supabase expert
Jen Jacobsen
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Get HelpFrequently Asked Questions
How do I optimize Docker builds?
Use multi-stage builds, order layers by change frequency (stable to volatile), leverage build cache with .dockerignore.
How do I increase memory for Gradle in Docker?
Set ENV GRADLE_OPTS="-Xmx2048m" in Dockerfile or pass via docker build command.