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Backend Performance Optimization Masterclass

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This book explains backend performance optimization in simple language and includes code examples in every chapter.
Level: advancedLanguage: EN EnglishRating: 0Reviews: 0
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Book contents
01Chapter 1: Introduction to Backend Performance Engineering02Chapter 2: System Design Principles for Scale03Chapter 3: Understanding Compute, Memory, and I/O04Chapter 4: Efficient Algorithm and Data Structure Design05Chapter 5: Language-Specific Performance Tuning06Chapter 6: Memory Management and Garbage Collection07Chapter 7: Database Indexing Strategies08Chapter 8: Query Optimization Techniques09Chapter 9: Scaling Databases10Chapter 10: Caching Fundamentals11Chapter 11: Distributed Caching Systems12Chapter 12: REST API Performance Tuning13Chapter 13: GraphQL vs REST Performance Trade-offs14Chapter 14: Network-Level Optimization15Chapter 15: Concurrency Models in Backend Systems16Chapter 16: Message Queues and Event-Driven Architecture17Chapter 17: Microservices Architecture Optimization18Chapter 18: API Gateway Optimization19Chapter 19: Container and Kubernetes Optimization20Chapter 20: Load Balancing and Traffic Distribution21Chapter 21: Performance Monitoring Systems22Chapter 22: Profiling and Bottleneck Detection23Chapter 23: Zero-Downtime High Traffic Systems24Chapter 24: Extreme Scale Architectures25Chapter 25: Case Studies of Real-World Systems26Chapter 26: Performance Anti-Patterns27Appendix E: Deeper Practice and Extra Examples
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