Performance optimization is a structured discipline where strategies often build upon one another. The process can be categorized into network-level and rendering-level optimization, while the outcome targets time and volume reduction. The core objective is to deliver website content to users swiftl...
Performance Analysis Tools for Spring Applications Several diagnostic tools can help analyze and improve Spring application performance: Arthas: A Java diagnostic tool for reall-time monitoring and troubleshooting Async Profiler: Low-overhead sampling profiler for Java applications Spring Boot Start...
High-frequency DOM events like keyboard keystrokes, window resizing, viewport scrolling, and continuous mouse movement often overwhelm performance by firing far more frequently than necessary, causing UI jank, delayed updates, or excessive network requests. Debouncing Debouncing delays function exec...
Problem Statement In production environments, regular expressions are widely used for text processing. However, certain pathological patterns can cause extreme CPU consumption, leading to service degradation. This issue becomes particularly critical when: The regex engine encounters catastrophic bac...
Debouncing vs. Throttling Both techniques control execution frequency of event handlers, yet serve distinct purposes. Debouncing psotpones execution until activity ceases for a specified duration, ideal for input validation and search suggestions. Throttling enforces a maximum execution rate regardl...
What is JVM? JVM stands for Java Virtual Machine. JVM Components Note: Before Java 8, the constant pool was located in the permanent generation within the heap. After Java 8, with the removal of the permanent generation and adoption of metaspace, the constant pool is now in the method area. Program...
Inline Functions Higher-order functions in Kotlin can incur runtime overhead due to function objects and closure capture, leading to memory allocation and virtual call costs. Inline functions mitigate this by copying the function's bytecode directly into the call site, eliminating these overheads. F...
When dealing with events that fire frequently, such as window resizing or keyboard input, executing heavy operations on every event can severely impact performance. Two common techniques to control the execution rate of functions are debounccing and throttling. Debounce Debouncing ensures that a fun...
Environment and dependencies A local Redis instance is requried. Benchmarks are executed with JMH. Maven dependencies: <dependency> <groupId>org.openjdk.jmh</groupId> <artifactId>jmh-core</artifactId> <version>1.21</version> </dependency> <dependenc...
Modern applications frequently mix distributed caches (such as Redis or Memcached) with fast in-process caches to minimize latency and reduce backand load. Caffeine is a high-throughput, low-latency in-JVM cache for Java that improves upon older libraries like Guava Cache with better eviction accura...