Kotlin with Gradle
Best practices for Dockerfile for Kotlin with Gradle
🐳 Annotated Dockerfile for Kotlin with Gradle:
🔍 Why these are best practices:
✅ Multi-stage builds
- Reduces the final image size by separating build environment from runtime.
- Eliminates build tools and intermediate files from the production image.
- Creates a smaller, more secure runtime environment.
✅ Gradle dependency caching
- Uses Docker's build cache to avoid downloading dependencies repeatedly.
- Dramatically speeds up iterative builds in development and CI/CD.
- Leverages
--mount=type=cache
for efficient dependency management.
✅ JRE-only runtime image
- Uses a smaller JRE image instead of full JDK for the final runtime.
- Reduces attack surface by removing development tools from production.
- Decreases image size, improving deployment speed and resource usage.
✅ Container-aware JVM settings
- Configures the JVM to respect container memory limits.
- Optimizes garbage collection and memory usage for containerized environments.
- Improves application stability and resource utilization.
✅ Security best practices
- Runs the application as a non-root user to enhance container security.
- Follows the principle of least privilege to limit potential attack vectors.
- Sets proper file ownership and permissions.
🚀 Additional Dockerfile best practices you can adopt:
Optimize Kotlin applications for native compilation
For Kotlin/Native applications or using GraalVM:
Enable Spring Boot layered JARs
For Spring Boot applications to improve caching:
Add health checks
Monitor container health for better orchestration:
Use .dockerignore
Exclude unnecessary files from your Docker build context:
Environment-specific configurations
Configure for different environments:
JVM performance tuning for containers
Fine-tune JVM settings:
Implement proper signaling
Ensure your application responds to container orchestration signals:
By following these practices, you'll create Docker images for your Kotlin applications that are secure, efficient, and optimized for both development and production environments. Kotlin's JVM foundation combined with these Docker techniques provides excellent performance while maintaining developer productivity.
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