UsefulLinks
Computer Science
Containerization and Orchestration
Java on Kubernetes
1. Introduction to Java on Kubernetes
2. Foundational Concepts
3. Containerizing Java Applications
4. Deploying Java Applications to Kubernetes
5. Resource Management and Performance
6. Cloud-Native Java Frameworks
7. Observability and Monitoring
8. Security Considerations
9. Advanced Deployment Patterns
10. Performance Optimization
11. Troubleshooting and Debugging
12. Best Practices and Patterns
10.
Performance Optimization
10.1.
Application Performance
10.1.1.
JVM Performance Tuning
10.1.1.1.
JIT Compiler Optimization
10.1.1.2.
Memory Allocation Patterns
10.1.1.3.
Thread Pool Optimization
10.1.2.
Framework-specific Optimization
10.1.2.1.
Spring Boot Performance
10.1.2.2.
Quarkus Optimization
10.1.2.3.
Micronaut Tuning
10.1.3.
Database Performance
10.1.3.1.
Connection Pool Tuning
10.1.3.2.
Query Optimization
10.1.3.3.
Caching Strategies
10.2.
Kubernetes Performance
10.2.1.
Resource Optimization
10.2.1.1.
Right-sizing Resources
10.2.1.2.
Horizontal Pod Autoscaling
10.2.1.3.
Vertical Pod Autoscaling
10.2.2.
Cluster Performance
10.2.2.1.
Node Optimization
10.2.2.2.
Network Performance
10.2.2.3.
Storage Performance
10.2.3.
Scheduling Optimization
10.2.3.1.
Node Affinity
10.2.3.2.
Pod Affinity and Anti-affinity
10.2.3.3.
Taints and Tolerations
10.3.
Native Image Optimization
10.3.1.
GraalVM Native Image
10.3.1.1.
Build Process Optimization
10.3.1.2.
Runtime Performance
10.3.1.3.
Memory Usage Reduction
10.3.2.
Native Image Limitations
10.3.2.1.
Reflection Constraints
10.3.2.2.
Dynamic Class Loading
10.3.2.3.
Debugging Challenges
10.3.3.
Framework Support
10.3.3.1.
Spring Native
10.3.3.2.
Quarkus Native
10.3.3.3.
Micronaut Native
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11. Troubleshooting and Debugging