Sharing Java developer knowledge, practical articles, and continuous insights into computer engineering.
This article walks you through practical Nginx configurations covering reverse‑proxy load balancing, static resource handling, cache control, version hiding, JSON‑formatted logging, rate‑limiting, IP restrictions, gray‑release traffic splitting, security headers and DNS anti‑spoofing, with ready‑to‑use code examples.
This guide walks you through installing and configuring Nginx on CentOS, Docker, and macOS, explains core concepts like event‑driven architecture, compares Nginx with Tomcat, and clarifies the roles of traffic gateways, API gateways, and service registries, providing practical commands and Q&A for developers.
This article introduces the five most common Reactor error‑handling operators—onErrorReturn, onErrorResume, doOnError, retry, and blockOptional—explains their distinct behaviors, appropriate scenarios, and common pitfalls, and provides concise code examples for each within Spring WebFlux.
This article, part of an async‑programming series, explains how Spring WebFlux’s non‑blocking Mono model can replace traditional Spring MVC blocking calls, presents common business scenarios, provides ready‑to‑use code templates, and demonstrates the performance benefits of reactive programming for high‑throughput Java backends.
This article shows how to replace inefficient front‑end polling with a Spring WebFlux server‑sent events (SSE) solution that pushes file‑import progress to the browser in real time, providing complete code for the progress service, import logic, controller, and a vanilla‑JS front‑end example, plus deployment tips.
This article explains why the traditional Spring MVC request‑response model struggles with real‑time scenarios and shows how WebFlux and its Flux API enable server‑side data streaming, concurrent aggregation, and progressive updates for use cases such as infinite scrolling, import progress, and live notifications.
This article demystifies the four core concurrency concepts—synchronous, asynchronous, blocking, and non‑blocking—explaining their meanings, relationships, and practical implications with clear examples and a comparison table, helping developers choose the right model for high‑performance, scalable systems.
This article explains how traditional synchronous JSON responses differ from modern streaming responses, introduces reactive programming concepts, and shows step‑by‑step how to implement non‑blocking, high‑throughput APIs using Spring WebFlux, Mono/Flux, SSE, WebSocket, and related protocols.
This article explains the Bloom filter data structure, its hash‑based design and false‑positive behavior, then demonstrates practical implementations using Java BitSet, Guava, and Redisson, covering initialization, configuration, usage tips, and performance considerations for Redis bitmap storage.
This article explains how to implement a precise sliding‑window rate‑limiting algorithm using Redis Sorted Sets, detailing the problem scenario, the algorithm steps, Lua script implementation, Java integration, and practical extensions for high‑performance backend services.
