All posts tagged with "performance"
A practical guide to migrating Python code from ThreadPoolExecutor to asyncio. Learn when to migrate, step-by-step refactoring patterns, common pitfalls, and how to handle blocking code that can't be made async.
Learn how to use ProxySQL as a connection pooler between PHP applications and MySQL, dramatically reducing connection overhead and improving database scalability.
Compare Redis, Memcached, and local in-process caching solutions. Learn when to use each, their strengths and trade-offs, architecture patterns, and practical implementation examples for building high-performance applications.
A practical deep dive into Java 25 JVM and performance improvements, including compact object headers, ahead-of-time profiling, JFR upgrades, and generational Shenandoah.
A deep dive into Redis source code to understand how RDB snapshots and AOF logging keep your data safe. Learn about fork(), copy-on-write, fsync strategies, and the AOF rewrite dual-buffer trick.
Explore how Redis actually works by reading its C source code on GitHub. Learn about robj, incremental rehashing, the event loop, integer encoding, and adaptive list storage — the real internals that make Redis so fast.
Master Spring Boot performance optimization with JVM profiling, Actuator metrics, database tuning, HTTP caching, GC optimization, and startup acceleration. A complete guide to building high-performance Java applications with measurable improvements.
Go beyond unit and integration tests. Learn consumer-driven contract testing with Spring Cloud Contract, API compatibility verification, performance testing with Gatling, load testing strategies, and advanced testing patterns for production-ready Spring Boot applications.
Master load balancing fundamentals: algorithms (Round Robin, Least Connections, IP Hash), Layer 4 vs Layer 7, health checks, session persistence, SSL termination, and implementation with Nginx, HAProxy, and cloud providers.
Master JPA performance optimization in Spring Boot. Learn to detect and fix N+1 query problems, optimize fetch strategies, use projections, batch operations, and write efficient JPQL and native queries.