10 docs tagged with "performance"

Patterns for caching application data — cache-aside, write-through, write-behind — eviction policies, TTL design, and cache stampede prevention in Spring Boot with Redis.

Why connection pooling is essential, how HikariCP works, and how to configure it correctly in Spring Boot applications.

Hands-on Spring Boot HikariCP configuration examples, pool monitoring, leak detection, and Kubernetes multi-pod sizing.

How the JVM automatically reclaims heap memory — GC roots, reachability analysis, generational collection, and the major collectors (Serial, Parallel, G1, ZGC) with tuning flags.

How the JVM's Just-In-Time compiler converts hot bytecode into native machine code at runtime — tiered compilation (C1/C2), inlining, escape analysis, and the warmup behavior you see in every production service.

Hands-on examples demonstrating how N+1 queries occur and how to fix them with JOIN FETCH, @EntityGraph, and @BatchSize.

Horizontal vs vertical scaling, stateless services, read replicas, database sharding, and load balancing — the patterns that allow a Java/Spring Boot system to handle growing traffic.

How Spring's cache abstraction works with @Cacheable, @CacheEvict, @CachePut, and @Caching, plus integrating Caffeine and Redis as backing stores.

How to use interface projections, DTO projections, and dynamic projections in Spring Data JPA to select only the columns you need in a single optimized query.

What causes N+1 queries in JPA/Hibernate, how to diagnose them, and how to fix them with JOIN FETCH, @EntityGraph, DTO projections, and batch fetching.