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JD Retail Technology
JD Retail Technology
Jun 7, 2023 · Backend Development

Performance Optimization: Code and Design Techniques for Java Services

This article explains service performance concepts and presents systematic code‑level and architectural optimizations for Java back‑ends, covering class preloading, thread‑pool usage, static variables, cache‑line alignment, false sharing mitigation, branch prediction, copy‑on‑write, method inlining, reflection caching, exception handling, logging practices, lock granularity, and pooling strategies, all illustrated with concrete code examples.

Backend DevelopmentCache AlignmentCode Optimization
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Performance Optimization: Code and Design Techniques for Java Services