This article explains the code types involved in synchronous remote calls, demonstrates how blocking IO leads to callback hell, and shows how to simplify the programming model using Java CompletableFuture, AsyncHttpClient, and Project Reactor’s reactive streams to efficiently retrieve city data.
This article introduces the fundamentals of microservices and reactive systems, explains how reactive programming integrates with microservice architectures, compares traditional and reactive approaches, outlines core components, design principles, and technology choices such as Spring Cloud, and provides guidance for building scalable, resilient reactive microservices.
This article explains RxJava2's backpressure mechanisms, compares the five Flowable strategies (MISSING, ERROR, BUFFER, DROP, LATEST), demonstrates their behavior with practical experiments, and shows how to use Subscription and FlowableEmitter to build a demand‑driven, memory‑safe data pipeline.
This article provides a comprehensive overview of RxJava2 for Android, covering its observer types, backpressure strategies, thread‑scheduling transformers, the compose() operator, differences between compose and flatMap, and the distinction between hot and cold observables with practical code examples.
This article explains why Spring WebFlux lacks RequestContextHolder, explores the ReactorContextWebFilter solution from Spring Security, and demonstrates a custom ReactiveRequestContextFilter and helper class that store and retrieve the request via Reactor's Context for exception handling and WebClient header propagation.
The article describes the motivation, analysis, architecture, performance optimizations, development challenges, and future plans of JD Finance’s LEGO backend platform, which uses Spring Boot, SpEL, Redis, and reactive programming to enable dynamic, high‑performance page configuration for a high‑traffic mobile app.
This article explains RxJava’s origins, core concepts, advantages, common operators, threading strategies, and practical experiences, illustrating how adopting RxJava with Java 8, Lambda, and Stream API can simplify complex, rapidly changing backend systems and improve code readability, maintainability, and performance.
This article explains React as a JavaScript library for building user interfaces, covering its component model, state‑driven rendering, DOM diffing, pure functions, the importance of treating it as a library rather than a framework, and practical state management with MobX.
By refactoring Xianyu’s key features with RxJava 2.0, the team replaced blocking logging, HTTP, RPC, and cache operations with asynchronous streams, cutting response time by half, boosting CPU utilization to 97%, raising throughput about 30%, and demonstrating a unified, core‑size thread‑pool model.
EasyReact is an iOS reactive programming framework that replaces closure‑based data flow with object‑graph nodes, offering visual EZRNode debugging, automatic memory management, and cross‑platform potential while delivering up to 725 % faster performance than ReactiveCocoa, simplifying learning, debugging, and future Swift‑based extensions.
The article explains how Flutter adopts a React‑style reactive architecture—using immutable widgets, InheritedWidget for communication, Dart Streams and a Redux‑like store with reducers and interrupters—to achieve clear model‑view separation, fine‑grained UI updates, componentized multi‑store widgets, and shares Xianyu’s practical implementation details and code examples.
The article contrasts push‑based reactive programming with imperative code, then walks through a simple EventEmitter with manual cleanup, examines Redux’s store subscriptions and middleware overhead, explores Mobx’s automatic dependency tracking via getters, setters and autorun, and compares the boilerplate, performance, and hidden‑dependency trade‑offs before previewing a future post on using Observables for asynchronous events.
This tutorial walks you through creating a reactive Spring WebFlux RESTful API using Spring Boot 2.0 and MongoDB, covering project setup, database connection, model, DAO, controller implementation, and testing the CRUD operations with practical code examples and screenshots.
This article explains the fundamentals of reactive programming in Spring 5, covering concepts like reactive streams, backpressure, Reactor's Mono and Flux types, and provides practical code examples for controllers and data layers to illustrate the benefits over traditional blocking approaches.
This article explains how an API Gateway simplifies client‑to‑microservice communication for mobile apps by aggregating multiple fine‑grained services into a single coarse‑grained endpoint, discusses its advantages and drawbacks, and outlines key design considerations such as performance, reactive programming, service discovery, and fault tolerance.
This article explains why an intermediate data structure is needed for 3D rendering in a React‑like Virtual DOM environment, how to keep it reactively synchronized with raw graph data using dependency analysis, proxies, and conversion functions, and the performance benefits of minimal partial updates.
This article explains the fundamentals of functional programming, its contrast with imperative coding, the role of pure functions and monads, and why its declarative and asynchronous features are increasingly essential for modern front‑end frameworks and reactive UI development.
The article explains how an API Gateway can consolidate multiple fine‑grained microservice endpoints into a single coarse‑grained API for mobile clients, discussing its design considerations, benefits, drawbacks, and implementation techniques such as reactive programming, service discovery, and fault tolerance.
