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Docker
·
Module 7
Performance Tuning and Optimization
1
Optimizing Docker Images for Size
Reduce final image size by selecting minimal base images like Alpine or distroless.
2
Container Resource Contention: Monitoring & Identification
Identify resource contention between containers using monitoring tools.
3
Optimizing Container Resource Limits
Resolve resource contention by applying and tuning container resource limits.
4
Profiling Containerized Applications with Linux Tools
Profile CPU and memory usage of a containerized application using standard Linux tools.
5
Diagnosing Container Network Bottlenecks with iperf
Use network performance measurement tools like iperf to diagnose container networking bottlenecks.
6
Optimizing Network Performance
Apply network optimization techniques, such as selecting appropriate drivers, to resolve performance issues.
7
Multi-Architecture Image Builds
Implement multi-architecture image builds for different platforms (e.g., amd64, arm64).
Previous module
Container Observability: Logging and Monitoring
Next module
Docker in a CI/CD Pipeline