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Reactor Model

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Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Apr 3, 2024 · Backend Development

Comprehensive Introduction to Netty: Features, Architecture, Core Components, and Application Scenarios

This article provides a detailed overview of Netty, a high‑performance asynchronous NIO framework, covering its key features, architectural design, core components, high‑performance strategies, and typical use cases in internet services, gaming, and big‑data systems, while also highlighting why it outperforms native JDK NIO.

Java NIONettyNetwork Framework
0 likes · 9 min read
Comprehensive Introduction to Netty: Features, Architecture, Core Components, and Application Scenarios
Selected Java Interview Questions
Selected Java Interview Questions
Jan 14, 2023 · Databases

Understanding Redis: Is It Truly Single-Threaded?

This article clarifies the common misconception that Redis is purely single‑threaded by detailing its single‑threaded network I/O model, the evolution of multithreading support across versions, the client‑server request flow, and the underlying Reactor patterns that enable efficient concurrency.

DatabaseReactor ModelRedis
0 likes · 14 min read
Understanding Redis: Is It Truly Single-Threaded?
Code Ape Tech Column
Code Ape Tech Column
Sep 9, 2022 · Backend Development

Understanding Netty’s Asynchronous Model, Epoll, and IO Multiplexing – From Theory to a Hand‑Written Server

This article explains Netty’s reactor‑based asynchronous architecture, compares classic multithread, select, poll and epoll models, demonstrates JNI integration with C code, and provides a complete hand‑written epoll server example to illustrate high‑performance backend networking in Java.

C++IO MultiplexingJNI
0 likes · 34 min read
Understanding Netty’s Asynchronous Model, Epoll, and IO Multiplexing – From Theory to a Hand‑Written Server
Aikesheng Open Source Community
Aikesheng Open Source Community
Jan 6, 2022 · Databases

Dynamic Adjustment of DBLE Thread Pools Without Restart

This article explains how DBLE version 3.21.06.* enables runtime, non‑restart adjustments of various thread‑pool parameters such as processors and backendProcessors, describes the underlying reactor and JDK thread‑pool mechanisms, and provides practical guidance and precautions for safely scaling thread pools in production environments.

DBLEDatabase MiddlewareDynamic Scaling
0 likes · 11 min read
Dynamic Adjustment of DBLE Thread Pools Without Restart