SSSATYAM SHARMAinreact-night.hashnode.dev·May 8 · 4 min readReact Virtual DOM Explained Without the Complicated JargonIf you’ve ever used React, you’ve probably heard people say things like: “React is fast because of the Virtual DOM.” But then the explanation usually becomes a mess of technical terms like reconcili00
ACArjita Chaurasiainreactive-java.hashnode.dev·Apr 14 · 3 min readThe Architectural Evolution of Asynchronous Systems: A Deep Analysis of Reactive ProgrammingThe modern computational landscape is defined by an insatiable demand for scalability and responsiveness. As distributed systems and microservices architectures become the default for enterprise appli00
SDSylvester Dasinblog.minifyn.com·Apr 2 · 6 min readHow to Use NgRx Signals for State Management in Angular Micro-Frontend AppsThe landscape of Angular state management has evolved dramatically. From basic services with BehaviorSubject to the comprehensive NgRx Store, developers have sought more efficient and scalable ways to00
MDMike Dyerinlistenrightmeow.hashnode.dev·Mar 30 · 9 min readEvent Storming Is a Language, Not a WorkshopThe DDD community treats Event Storming as a workshop activity. You book a room. You buy sticky notes — orange for domain events, blue for commands, yellow for aggregates, purple for policies, pink fo00
ANAbhishek Nayakinabhishekdev26.hashnode.dev·Mar 21 · 12 min readReact useEffect Explained Simply — With Real Examples The official React docs are thorough. But let's be honest — when you're learning useEffect for the first time, reading about "synchronizing with external systems" doesn't help much. So let's fix that.00
GRGanesh Rama Hegdeinkotlinflow.hashnode.dev·Feb 1 · 4 min readChapter 18 : UseCase15 - flatMapLatestIn this chapter we will focus on automatic cancellation of previous work when new data arrives. Concept flatMapLatest works like this: Upstream emits a value. A new inner flow starts. If upstream e00
GRGanesh Rama Hegdeinkotlinflow.hashnode.dev·Jan 29 · 4 min readChapter 15 : UseCase12 - combine()combine() merges two flows. But unlike zip(), it does not wait for matching pairs. Instead, whenever either flow emits, combine uses the latest value from both flows. This makes it reactive and contin00
NBNishant Bhandariinjava-insights.hashnode.dev·Jan 17 · 3 min readWhy Reactive Java is Needed: Scaling Beyond Traditional Spring Boot(Spring WebFlux + Vert.x Perspective) Modern systems need to handle: Millions of concurrent users Real-time streaming Event-driven workflows Long-lived connections Low latency at scale Traditional Spring Boot (Spring MVC + Tomcat) struggles be...00
PKPrashant Kumarinprashant-kr.hashnode.dev·Jul 14, 2025 · 4 min readAngular Signals vs RxJS: Which Should You Use in 2025?🔍 Introduction Angular's new reactive system, Signals, introduced in Angular 16 and stabilized in Angular 17, has shaken up how we think about state management and reactivity in Angular apps. As someone who’s worked with RxJS-heavy enterprise Angula...00
SRSwarnnika Raj Singhinswarnnika.dev·Jul 12, 2025 · 3 min read🤯 Why Reactive Databases Blew My Mind as a Software Engineer (And Why You Should Care Too)The Problem: Real-Time Data Sync is Painful Building real-time applications today involves: Polling (wastes resources, high latency) WebSockets (complex to manage at scale) Kafka/Redis Pub-Sub (requires manual event emission) Database Triggers + ...00
