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Code Ape Tech Column
Code Ape Tech Column
Nov 26, 2020 · Backend Development

Understanding RabbitMQ: Architecture, Messaging Patterns, Persistence, Clustering, and Flow Control

This article provides a comprehensive overview of RabbitMQ, covering its origins, core components, message publishing and consumption, routing modes, persistence mechanisms, delivery guarantees, RPC support, clustering design, mirrored‑queue architecture, and flow‑control strategies for reliable backend messaging.

AMQPDistributed SystemsMessage Queue
0 likes · 13 min read
Understanding RabbitMQ: Architecture, Messaging Patterns, Persistence, Clustering, and Flow Control
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Nov 22, 2020 · Databases

Various Data Synchronization Architectures for Real-Time Elasticsearch Integration

The article compares five data synchronization approaches—periodic Logstash pulls, synchronous dual writes, asynchronous dual writes with MQ, Canal-based binlog streaming, and a Canal‑MQ hybrid—detailing their architectures, advantages, drawbacks, and suitable scenarios for integrating databases with Elasticsearch.

Backend ArchitectureCanalDatabase
0 likes · 4 min read
Various Data Synchronization Architectures for Real-Time Elasticsearch Integration
Java Backend Technology
Java Backend Technology
Nov 21, 2020 · Backend Development

Why Your RocketMQ Consumer Stalls: Uncovering the Hidden VIP Port Issue

This article walks through a real‑world RocketMQ failure where a consumer could not receive messages due to an unreachable VIP port, explains the broker’s three‑port architecture, shows how to diagnose the problem via logs, and provides code and configuration fixes to restore normal consumption.

Message QueueRocketMQTroubleshooting
0 likes · 9 min read
Why Your RocketMQ Consumer Stalls: Uncovering the Hidden VIP Port Issue
JavaEdge
JavaEdge
Nov 15, 2020 · Backend Development

Implementing Delayed Queues in RabbitMQ with TTL and DLX

RabbitMQ lacks native delayed‑queue support, but by combining message TTL with a dead‑letter exchange you can create a 15‑minute delayed processing pipeline for order cancellation, and this article explains the configuration steps and consumer setup needed to achieve it.

DLXMessage QueueRabbitMQ
0 likes · 2 min read
Implementing Delayed Queues in RabbitMQ with TTL and DLX
JavaEdge
JavaEdge
Nov 14, 2020 · Backend Development

How to Prevent RabbitMQ Overload with Consumer QoS and Manual ACK

When a RabbitMQ server accumulates thousands of pending messages, a newly started consumer can be flooded, causing performance degradation or crashes, so this guide explains how to use RabbitMQ's QoS settings and manual acknowledgments to throttle consumers and keep the system stable.

Backend DevelopmentConsumer Flow ControlMessage Queue
0 likes · 5 min read
How to Prevent RabbitMQ Overload with Consumer QoS and Manual ACK
JavaEdge
JavaEdge
Nov 13, 2020 · Backend Development

Mastering RabbitMQ Exchanges: Types, Properties, and Practical Demo

This article explains RabbitMQ exchanges, their key properties, and the four main exchange types—direct, topic, fanout, and headers—while providing step‑by‑step visual demos that show how messages are routed, filtered, or broadcasted in real scenarios.

Backend DevelopmentDirect ExchangeExchange
0 likes · 6 min read
Mastering RabbitMQ Exchanges: Types, Properties, and Practical Demo
MaGe Linux Operations
MaGe Linux Operations
Nov 13, 2020 · Backend Development

Master RabbitMQ with Python: From Basics to Advanced Patterns

This tutorial explains RabbitMQ fundamentals, shows how to install the Pika client, provides complete producer and consumer Python examples, and covers advanced topics such as work queues, message acknowledgments, persistence, fair dispatch, exchanges, routing, and RPC usage.

AMQPMessage QueuePika
0 likes · 12 min read
Master RabbitMQ with Python: From Basics to Advanced Patterns
Top Architect
Top Architect
Nov 13, 2020 · Backend Development

Alipay System Architecture Overview and the Open‑Source Distributed Message Middleware Metamorphosis (MetaQ)

This article presents a detailed overview of Alipay's multi‑layer system architecture, explains the design and capabilities of its open‑source Java‑based distributed message middleware Metamorphosis (MetaQ), and discusses why it was created as an alternative to Kafka and the scenarios where it excels.

AlipayDistributed MessagingJava
0 likes · 6 min read
Alipay System Architecture Overview and the Open‑Source Distributed Message Middleware Metamorphosis (MetaQ)
Architecture Digest
Architecture Digest
Nov 13, 2020 · Backend Development

Understanding RabbitMQ: Architecture, Routing, Persistence, Clustering, and Flow Control

This article provides a comprehensive overview of RabbitMQ, covering its origins, architecture, message routing patterns, persistence mechanisms, clustering, mirrored queues, flow control, and code examples for publishing and consuming messages, helping backend developers understand and effectively use the system.

Backend DevelopmentMessage Queue
0 likes · 15 min read
Understanding RabbitMQ: Architecture, Routing, Persistence, Clustering, and Flow Control
Laravel Tech Community
Laravel Tech Community
Nov 12, 2020 · Backend Development

PHP Kafka Client Library (longlang/phpkafka) Overview

The PHP Kafka client library supports PHP‑FPM and Swoole environments, implements all 50 Kafka APIs with compression, SSL, and SASL features, requires PHP ≥ 7.1 and Kafka ≥ 1.0.0, and can be installed via Composer.

KafkaMessage Queueclient
0 likes · 2 min read
PHP Kafka Client Library (longlang/phpkafka) Overview
dbaplus Community
dbaplus Community
Nov 9, 2020 · Operations

How Vivo Scaled RabbitMQ to Ten‑Fold Traffic with High‑Availability Architecture

This article details Vivo's evolution of RabbitMQ from a single cluster to a multi‑cluster, high‑availability solution, describing the MQ‑Portal request workflow, the enriched client SDK features, the stateless MQ‑NameServer, and the dual‑city deployment strategies that enabled a ten‑times traffic increase without major outages.

Message QueueRabbitMQSDK
0 likes · 13 min read
How Vivo Scaled RabbitMQ to Ten‑Fold Traffic with High‑Availability Architecture
MaGe Linux Operations
MaGe Linux Operations
Nov 7, 2020 · Backend Development

Master RabbitMQ: From Basics to Advanced RPC and Exchange Patterns

This guide explains what a message queue is, why it’s used in asynchronous architectures, walks through installing RabbitMQ on Linux and macOS, and demonstrates core patterns such as simple queues, work queues, publish/subscribe, routing, topics, and RPC with complete Python code examples.

AsynchronousMessage QueuePython
0 likes · 16 min read
Master RabbitMQ: From Basics to Advanced RPC and Exchange Patterns
Programmer DD
Programmer DD
Oct 29, 2020 · Backend Development

Master Kafka Interview Questions: Architecture, Configurations, and Best Practices

This article provides a comprehensive overview of Kafka as a distributed messaging middleware, covering its core concepts, architecture, producer and consumer mechanics, common interview questions, configuration options, high‑availability guarantees, and performance optimizations for backend developers.

Backend DevelopmentConsumerDistributed Messaging
0 likes · 20 min read
Master Kafka Interview Questions: Architecture, Configurations, and Best Practices
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Oct 22, 2020 · Backend Development

Core Concepts and Architecture of RocketMQ

This article introduces RocketMQ’s core concepts, including its deployment architecture, naming server, broker and client roles, subscription model, consumption modes, queue allocation algorithms, rebalancing, offset storage, transaction and delayed messages, as well as filtering mechanisms, providing a solid foundation for further practice.

Distributed SystemsMessage QueueQueue Allocation
0 likes · 13 min read
Core Concepts and Architecture of RocketMQ
vivo Internet Technology
vivo Internet Technology
Oct 14, 2020 · Backend Development

Design and Implementation of a High‑Availability RabbitMQ Middleware Platform at vivo

vivo built a high‑availability RabbitMQ middleware platform that combines an MQ‑Portal for request‑driven provisioning, an SDK that adds application‑level authentication, automatic cluster discovery, rate‑limiting, reset and blockage‑transfer capabilities, and a stateless MQ‑NameServer for name resolution and health‑based failover, enabling ten‑fold traffic growth without incidents.

Cluster ManagementMessage QueueRabbitMQ
0 likes · 14 min read
Design and Implementation of a High‑Availability RabbitMQ Middleware Platform at vivo
Top Architect
Top Architect
Oct 9, 2020 · Backend Development

Implementing Delayed Queues with Redis and Other Technologies

This article explains how Redis can be used to implement delayed queues, compares its advantages with other solutions such as RabbitMQ, RocketMQ, Kafka, Netty and Java DelayQueue, and provides practical guidance on using sorted sets and timestamps for time‑based task scheduling.

KafkaMessage QueueRabbitMQ
0 likes · 8 min read
Implementing Delayed Queues with Redis and Other Technologies
Java Architect Essentials
Java Architect Essentials
Oct 8, 2020 · Backend Development

Preventing Message Loss in RocketMQ: Scenarios and Solutions

This article analyzes the possible message loss scenarios in RocketMQ—including producer network issues, broker persistence failures, and consumer acknowledgment problems—and presents practical solutions such as transactional messaging, synchronous disk flushing, and proper consumer handling to achieve zero message loss.

Backend DevelopmentMessage QueueRocketMQ
0 likes · 7 min read
Preventing Message Loss in RocketMQ: Scenarios and Solutions
Architecture Digest
Architecture Digest
Oct 4, 2020 · Backend Development

Understanding RabbitMQ: Architecture, Message Flow, Persistence, Clustering, and Flow Control

This article provides a comprehensive overview of RabbitMQ, covering its origins, core components, message publishing and consumption patterns, routing modes, persistence mechanisms, delivery guarantees, RPC support, clustering design, mirrored queues, and flow‑control strategies for reliable backend messaging.

Message QueuePersistence
0 likes · 12 min read
Understanding RabbitMQ: Architecture, Message Flow, Persistence, Clustering, and Flow Control
MaGe Linux Operations
MaGe Linux Operations
Sep 29, 2020 · Backend Development

Understanding Message Middleware: Core Architecture and Kafka Basics

This article explains the fundamental architecture of message middleware, its key roles such as peak shaving, asynchronous processing and decoupling, the two consumption models (publish‑subscribe and point‑to‑point), and introduces core Kafka concepts with practical Java code examples.

Backend DevelopmentDistributed SystemsJava
0 likes · 7 min read
Understanding Message Middleware: Core Architecture and Kafka Basics
New Oriental Technology
New Oriental Technology
Sep 28, 2020 · Fundamentals

Understanding Distributed Systems: CAP, BASE, Caching, Message Queues, and Practical Improvements in New Oriental's Mobile App

This article explains the fundamentals of distributed systems, covering the CAP and BASE theorems, caching strategies, message queues, database choices, JVM optimization, and practical architectural improvements applied to New Oriental's mobile app to enhance availability and performance.

CAP theoremCachingDatabase
0 likes · 20 min read
Understanding Distributed Systems: CAP, BASE, Caching, Message Queues, and Practical Improvements in New Oriental's Mobile App
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Sep 19, 2020 · Backend Development

An Introduction to Apache RocketMQ: Concepts, Architecture, Message Types, and Best Practices

This article provides a comprehensive overview of Apache RocketMQ, covering its core concepts, architecture, various message types, reasons for adoption such as asynchronous decoupling and peak‑shaving, as well as best practices and local transaction patterns for reliable distributed messaging.

Best PracticesDistributed SystemsMessage Queue
0 likes · 17 min read
An Introduction to Apache RocketMQ: Concepts, Architecture, Message Types, and Best Practices
Architecture Digest
Architecture Digest
Sep 17, 2020 · Backend Development

Preventing Message Loss in RocketMQ: Scenarios and Solutions

This article explains the three common scenarios where messages can be lost in RocketMQ, analyzes their root causes, and presents concrete solutions—including transactional messaging, synchronous disk flushing with replication, and proper consumer acknowledgment—to achieve zero‑message loss while noting the performance trade‑offs.

Consumer FailoverMessage QueueRocketMQ
0 likes · 7 min read
Preventing Message Loss in RocketMQ: Scenarios and Solutions
ITPUB
ITPUB
Sep 6, 2020 · Databases

Choosing the Right MySQL‑Redis Cache Consistency Strategy

This article explains why caching is essential for high‑traffic MySQL applications, outlines the consistency challenges of using Redis as a cache, and compares four practical synchronization solutions—TTL‑only, write‑through, message‑queue‑based, and binlog‑driven—highlighting their advantages, drawbacks, and selection guidelines.

Cache ConsistencyDatabase CachingMessage Queue
0 likes · 10 min read
Choosing the Right MySQL‑Redis Cache Consistency Strategy
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Sep 5, 2020 · Operations

Understanding Message Queues (MQ) and Using ActiveMQ with Java and Spring Boot

This article explains the fundamentals of message queues, why they are needed for decoupling, asynchronous processing and throttling, introduces JMS concepts, details ActiveMQ storage options and protocols, and provides practical Java and Spring Boot code examples for producers, consumers, and advanced features such as transactions, persistence, and delayed delivery.

ActiveMQDecouplingJMS
0 likes · 26 min read
Understanding Message Queues (MQ) and Using ActiveMQ with Java and Spring Boot
Java Architect Essentials
Java Architect Essentials
Sep 4, 2020 · Backend Development

Implementing Reliable Email Sending with RabbitMQ in Spring Boot

This article demonstrates how to build a robust email‑sending service using Spring Boot and RabbitMQ, covering message confirmation, consumer idempotency, retry mechanisms, configuration details, and complete source code examples for producers, consumers, and scheduled re‑delivery tasks.

EmailMessage QueueRabbitMQ
0 likes · 12 min read
Implementing Reliable Email Sending with RabbitMQ in Spring Boot
Programmer DD
Programmer DD
Aug 31, 2020 · Backend Development

How to Prevent Message Loss in RocketMQ: Scenarios and Zero‑Loss Solutions

This article examines common RocketMQ message loss scenarios—including network glitches, asynchronous disk flushing, and consumer acknowledgment failures—and presents practical solutions such as transactional messaging, synchronous flush configuration, and proper consumer handling to achieve zero message loss.

Consumer AckMessage QueueRocketMQ
0 likes · 8 min read
How to Prevent Message Loss in RocketMQ: Scenarios and Zero‑Loss Solutions
Java Architect Essentials
Java Architect Essentials
Aug 25, 2020 · Backend Development

Understanding Kafka: Core Concepts, Architecture, and Performance Secrets

This article explains Kafka's role as a message system, details its fundamental components such as topics, partitions, producers, consumers, and replicas, describes how Zookeeper coordinates the cluster, and explores performance optimizations like sequential writes, zero‑copy, and network design.

Backend DevelopmentDistributed SystemsKafka
0 likes · 12 min read
Understanding Kafka: Core Concepts, Architecture, and Performance Secrets
Top Architect
Top Architect
Aug 23, 2020 · Backend Development

Comprehensive Guide to RabbitMQ: Usage Scenarios, Exchange Types, Configuration, and Reliability Practices

This article explains the core purposes of message queues such as converting synchronous operations to asynchronous, decoupling services, and handling traffic spikes, then details RabbitMQ architecture, various exchange types (Direct, Topic, Fanout), provides Spring‑Boot code examples for producers and consumers, and discusses persistence, acknowledgment mechanisms, and best‑practice configurations for reliable messaging.

Message QueueMessagingRabbitMQ
0 likes · 17 min read
Comprehensive Guide to RabbitMQ: Usage Scenarios, Exchange Types, Configuration, and Reliability Practices
Wukong Talks Architecture
Wukong Talks Architecture
Aug 20, 2020 · Backend Development

RocketMQ Windows Installation, Configuration, Core Concepts, and Best Practices

This comprehensive guide walks through downloading and installing RocketMQ on Windows, configuring environment variables, starting services, integrating the RocketMQ console, explaining core components, message models, reliability strategies, duplicate handling, transaction messages, and ordering guarantees for robust distributed messaging systems.

InstallationJavaMessage Queue
0 likes · 36 min read
RocketMQ Windows Installation, Configuration, Core Concepts, and Best Practices
Senior Brother's Insights
Senior Brother's Insights
Aug 17, 2020 · Backend Development

Integrating ActiveMQ with Spring Boot for Asynchronous Messaging

This guide explains how to use Spring Boot's ActiveMQ starter to configure, code, and test both queue (point‑to‑point) and topic (publish‑subscribe) messaging, covering JMS fundamentals, project setup, bean definitions, listener annotations, and dual‑mode container factories.

ActiveMQAsynchronousJMS
0 likes · 13 min read
Integrating ActiveMQ with Spring Boot for Asynchronous Messaging
Tencent Cloud Middleware
Tencent Cloud Middleware
Aug 11, 2020 · Cloud Native

How Tencent’s TDMQ Achieves Cloud‑Native, High‑Performance Messaging for Finance

This article explains how Tencent’s cloud‑native message queue TDMQ, built on Apache Pulsar’s storage‑compute separation, meets financial‑grade reliability, strong consistency, horizontal scalability, and cross‑region disaster‑recovery requirements through a quorum‑based consistency model, multi‑protocol support, and read‑only broker design.

Message QueuePulsarcloud-native
0 likes · 28 min read
How Tencent’s TDMQ Achieves Cloud‑Native, High‑Performance Messaging for Finance
Top Architect
Top Architect
Aug 11, 2020 · Big Data

Kafka Basics and Cluster Architecture Overview

This article provides a comprehensive introduction to Kafka, covering its role as a messaging system, core concepts such as topics, partitions, producers, consumers, and messages, and then delves into the cluster architecture including replicas, consumer groups, controller coordination with Zookeeper, performance optimizations, log segmentation, and network design.

Cluster ArchitectureKafkaMessage Queue
0 likes · 11 min read
Kafka Basics and Cluster Architecture Overview
Open Source Linux
Open Source Linux
Aug 11, 2020 · Backend Development

Build a Docker‑Based Kafka Cluster and Integrate It with Spring Boot

This guide walks you through creating a three‑node Kafka cluster with Zookeeper using Docker‑Compose, configuring the necessary YAML, launching the containers, and then integrating the cluster into a Spring Boot application by adding dependencies, setting Kafka properties, defining message, sender, and receiver classes, and testing the message flow.

DockerDocker-ComposeKafka
0 likes · 6 min read
Build a Docker‑Based Kafka Cluster and Integrate It with Spring Boot
JavaEdge
JavaEdge
Aug 9, 2020 · Fundamentals

When Does Data Compression Boost System Performance? A Deep Dive into Kafka and RocketMQ

This article explains the significance of data compression, outlines when it should be applied, compares lossless algorithms, discusses segment selection, and details how Kafka and RocketMQ implement message compression to improve throughput while balancing CPU, storage, and network resources.

KafkaMessage QueuePerformance Optimization
0 likes · 9 min read
When Does Data Compression Boost System Performance? A Deep Dive into Kafka and RocketMQ
JavaEdge
JavaEdge
Aug 5, 2020 · Backend Development

How to Diagnose and Resolve Message Queue Backlog Issues

Message backlog in MQ systems can cripple performance; this guide explains why backlogs occur, how to trace their root causes, and practical producer‑ and consumer‑side optimizations—including batching, concurrency, partition scaling, and dead‑letter handling—to restore throughput and prevent future congestion.

ConsumerMessage QueueOptimization
0 likes · 11 min read
How to Diagnose and Resolve Message Queue Backlog Issues
IT Architects Alliance
IT Architects Alliance
Jul 29, 2020 · Backend Development

How to Decouple Microservices: From Sync Calls to Event‑Driven Architecture

The article examines why tightly coupled microservices cause reliability issues, then presents practical techniques—such as converting synchronous calls to asynchronous messaging, adopting event‑driven architecture, using CQRS, caching, and strategic refactoring—to achieve loose coupling and improve system resilience.

Backend ArchitectureCQRSDecoupling
0 likes · 21 min read
How to Decouple Microservices: From Sync Calls to Event‑Driven Architecture
JavaEdge
JavaEdge
Jul 24, 2020 · Backend Development

Designing High‑Concurrency Systems: Key Strategies Interviewers Expect

This guide explains practical techniques—service splitting, caching, message queues, database sharding, read/write separation, and Elasticsearch—to design high‑concurrency back‑end systems that impress interviewers and handle real‑world traffic spikes.

CachingMessage QueueMicroservices
0 likes · 6 min read
Designing High‑Concurrency Systems: Key Strategies Interviewers Expect
Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 23, 2020 · Big Data

Comprehensive Kafka FAQ: Uses, Architecture, Offsets, and Partition Management

This article provides an extensive overview of Apache Kafka, covering its use cases, key concepts such as ISR, AR, HW, LEO, and LW, message ordering, the roles of partitioners, serializers and interceptors, producer and consumer client architecture, offset handling, multithreaded consumption, and topic partition management.

Big DataKafkaMessage Queue
0 likes · 16 min read
Comprehensive Kafka FAQ: Uses, Architecture, Offsets, and Partition Management
dbaplus Community
dbaplus Community
Jul 15, 2020 · Backend Development

Why RocketMQ Throws TIMEOUT_CLEAN_QUEUE: Deep Dive into Broker Fast-Failure Bug

The article examines a recurring RocketMQ error (TIMEOUT_CLEAN_QUEUE) caused by the broker’s fast‑failure mechanism, explains how the broker queues and thread pools operate, reveals that SYSTEM_BUSY is mistakenly excluded from retry logic—a bug—and proposes both a temporary configuration tweak and a permanent code fix via a PR.

BrokerFast-FailureMessage Queue
0 likes · 8 min read
Why RocketMQ Throws TIMEOUT_CLEAN_QUEUE: Deep Dive into Broker Fast-Failure Bug
Architects Research Society
Architects Research Society
Jul 15, 2020 · Big Data

Introduction to Apache Kafka: A Distributed Streaming Platform

This article provides a comprehensive overview of Apache Kafka, explaining its distributed, fault‑tolerant architecture, horizontal scalability, disk‑based commit log, replication mechanisms, Streams API, KSQL, and why it is widely adopted as the backbone of event‑driven, high‑throughput systems.

Distributed SystemsKafkaMessage Queue
0 likes · 15 min read
Introduction to Apache Kafka: A Distributed Streaming Platform
Selected Java Interview Questions
Selected Java Interview Questions
Jul 10, 2020 · Backend Development

Message Queue Interview Questions and Technical Guide

This article provides a comprehensive overview of message queue concepts, covering usage scenarios, advantages, drawbacks, technology selection, high‑availability architectures, duplicate handling, data loss prevention, ordering guarantees, latency management, and design principles, supplemented with interview‑style questions and code examples.

InterviewKafkaMQ
0 likes · 20 min read
Message Queue Interview Questions and Technical Guide
Ctrip Technology
Ctrip Technology
Jul 9, 2020 · Backend Development

Lessons from QMQ: Network and Disk I/O Problems and Their Mitigations

The article analyzes real‑world network and disk I/O issues encountered in Qunar Message Queue (QMQ), explains root causes such as Netty OOM, file‑handle exhaustion, TCP timeout handling, and large‑traffic bursts, and presents practical mitigation strategies for backend systems.

Message QueueNetwork IOPerformance tuning
0 likes · 11 min read
Lessons from QMQ: Network and Disk I/O Problems and Their Mitigations
Selected Java Interview Questions
Selected Java Interview Questions
Jul 8, 2020 · Backend Development

Message Queue Applications and Comparison of Common MQs (ActiveMQ, RabbitMQ, RocketMQ, Kafka)

This article explains the role of message queues in distributed systems, illustrates four typical scenarios—asynchronous processing, application decoupling, traffic shaping, and message communication—and compares the features of popular middleware such as ActiveMQ, RabbitMQ, RocketMQ, and Kafka.

KafkaMessage QueueRabbitMQ
0 likes · 9 min read
Message Queue Applications and Comparison of Common MQs (ActiveMQ, RabbitMQ, RocketMQ, Kafka)
Top Architect
Top Architect
Jul 7, 2020 · Backend Development

Consumer‑Side Rate Limiting, TTL, and Dead Letter Queues in RabbitMQ

This article explains why consumer‑side flow control is needed in RabbitMQ, demonstrates how to use the QoS API and basicQos settings, shows practical Java code for limiting consumption, and covers TTL and dead‑letter queue configurations to improve message reliability and system stability.

Consumer Rate LimitingJavaMessage Queue
0 likes · 15 min read
Consumer‑Side Rate Limiting, TTL, and Dead Letter Queues in RabbitMQ
Programmer DD
Programmer DD
Jul 1, 2020 · Backend Development

Mastering RabbitMQ Consumer Flow Control, TTL, and Dead‑Letter Queues

This article explains why and how to throttle RabbitMQ consumers using QoS settings, demonstrates practical Java code for consumer‑side flow control, explores message and queue TTL configurations, and details the setup of dead‑letter exchanges and queues to handle undelivered messages.

Consumer ThrottlingJavaMessage Queue
0 likes · 13 min read
Mastering RabbitMQ Consumer Flow Control, TTL, and Dead‑Letter Queues
Top Architect
Top Architect
Jun 29, 2020 · Backend Development

Using RocketMQ for Traffic Shaping in Spring Boot: Configuration, Code Samples, and Performance Tuning

This article explains how to use RocketMQ for traffic‑shaping in a Spring Boot application, covering its core components, consumer pull configuration, integration via rocketmq‑spring‑boot‑starter, a practical like‑praise use case, a Maven setup, YAML configuration, and advanced topics such as dynamic scaling and batch consumption.

JavaMessage QueueMicroservices
0 likes · 15 min read
Using RocketMQ for Traffic Shaping in Spring Boot: Configuration, Code Samples, and Performance Tuning
Open Source Tech Hub
Open Source Tech Hub
Jun 25, 2020 · Backend Development

Mastering Redis: Core Data Structures and Practical Commands Explained

This comprehensive guide explores Redis fundamentals, detailing its six primary data structures—strings, lists, hashes, sets, sorted sets, and streams—along with practical command examples, internal implementations, and usage patterns for high‑performance backend development.

CacheData StructuresMessage Queue
0 likes · 17 min read
Mastering Redis: Core Data Structures and Practical Commands Explained
Java Architect Essentials
Java Architect Essentials
Jun 22, 2020 · Operations

ActiveMQ Message Queue Optimization: Removing Synchronized Lock and Tuning queuePrefetch

This article analyzes a severe ActiveMQ message‑queue backlog caused by a synchronized onMessage listener, then demonstrates how removing the lock and tuning the queuePrefetch parameter, along with a dual‑queue redesign, can boost consumption throughput by over thirty times, eliminating the data pile‑up.

ActiveMQMessage QueuePerformance tuning
0 likes · 8 min read
ActiveMQ Message Queue Optimization: Removing Synchronized Lock and Tuning queuePrefetch
Architect
Architect
Jun 18, 2020 · Backend Development

Applying Message Queues for Decoupling in E‑commerce Architecture

The article explains why and how to use message queues to achieve low‑coupling, better performance, fault tolerance, and eventual consistency in an e‑commerce order‑processing flow, discusses common pitfalls such as message loss and duplication, and compares popular queue products like RabbitMQ, Kafka, and RocketMQ.

Backend ArchitectureDecouplingDistributed Systems
0 likes · 10 min read
Applying Message Queues for Decoupling in E‑commerce Architecture
Jike Tech Team
Jike Tech Team
Jun 11, 2020 · Fundamentals

Unlocking the Secrets of AMQP: A Deep Dive into Message Queuing Protocol

This article explores the AMQP 0.9.1 protocol in depth, covering its core concepts, model components, layered architecture, lifecycle of exchanges, queues, channels, and bindings, as well as command classes, transport details, and practical usage patterns for building robust messaging systems.

AMQPMessage QueueMessaging Architecture
0 likes · 29 min read
Unlocking the Secrets of AMQP: A Deep Dive into Message Queuing Protocol
macrozheng
macrozheng
Jun 11, 2020 · Backend Development

How to Implement RabbitMQ Delayed Messages with the Delayed Plugin in Spring Boot

This guide walks through installing the RabbitMQ delayed‑message‑exchange plugin, configuring it in a Spring Boot application, and building Java components to send and receive delayed order‑cancellation messages, comparing the plugin approach with dead‑letter queues and providing complete code snippets and deployment steps.

Backend DevelopmentMessage QueueRabbitMQ
0 likes · 12 min read
How to Implement RabbitMQ Delayed Messages with the Delayed Plugin in Spring Boot
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Jun 10, 2020 · Backend Development

Understanding Kafka Consumer Groups, Repartition Triggers, and Consumption Guarantees

This article explains the relationship between Kafka consumers and consumer groups, when repartition occurs, how consumers interact with Zookeeper, the overall consumer workflow, and the three delivery semantics (at‑least‑once, at‑most‑once, exactly‑once) in a concise, technical overview.

KafkaMessage QueueRepartition
0 likes · 8 min read
Understanding Kafka Consumer Groups, Repartition Triggers, and Consumption Guarantees
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 4, 2020 · Big Data

Kafka for Data Ingestion and Event Distribution: Production‑Consumer and Publish‑Subscribe Patterns

This article explains how Kafka can be used for data ingestion and event distribution by illustrating production‑consumer and publish‑subscribe models, describing core concepts such as topics, partitions and consumer groups, and offering practical design options for handling different event scenarios.

Big DataEvent DistributionKafka
0 likes · 9 min read
Kafka for Data Ingestion and Event Distribution: Production‑Consumer and Publish‑Subscribe Patterns
Programmer DD
Programmer DD
May 28, 2020 · Backend Development

How to Use RocketMQ for Traffic Shaping and Peak‑Smoothing in Spring Boot

This article explains how RocketMQ’s decoupling, asynchronous and peak‑shaving features can be applied in a Spring Boot project to buffer massive like‑click traffic, reduce database pressure, and dynamically tune consumer pull parameters for optimal throughput.

Consumer ConfigurationMessage QueuePeak Shaving
0 likes · 14 min read
How to Use RocketMQ for Traffic Shaping and Peak‑Smoothing in Spring Boot
Architects' Tech Alliance
Architects' Tech Alliance
May 27, 2020 · Fundamentals

Message Queue Overview, Models, and Comparison of ActiveMQ, RabbitMQ, RocketMQ, and Kafka

This article introduces the fundamentals of message queues, explains their characteristics, delivery models, transmission modes, and push‑pull patterns, then compares four popular implementations—ActiveMQ, RabbitMQ, RocketMQ, and Kafka—highlighting each system's strengths, weaknesses, deployment requirements, and typical use cases.

ActiveMQKafkaMessage Queue
0 likes · 17 min read
Message Queue Overview, Models, and Comparison of ActiveMQ, RabbitMQ, RocketMQ, and Kafka
macrozheng
macrozheng
May 21, 2020 · Big Data

Mastering Kafka: Core Concepts, Architecture, and Reliability Guarantees

This comprehensive guide covers Kafka's definition, publish/subscribe model, key components, storage mechanisms, producer and consumer strategies, and reliability features such as ACK levels, ISR, and exactly‑once semantics, providing a solid foundation for real‑time big‑data processing.

Big DataDistributed SystemsKafka
0 likes · 16 min read
Mastering Kafka: Core Concepts, Architecture, and Reliability Guarantees
Youzan Coder
Youzan Coder
May 20, 2020 · Backend Development

Real-Time Loss Prevention System: Architecture and Implementation at YouZan

YouZan’s real‑time loss‑prevention platform monitors database binlogs, transforms and verifies transaction data across five loosely coupled layers, handling 200 million daily messages and 60 million checks with dynamic sharding, caching and distributed locks to detect over‑charges, duplicate refunds, migration inconsistencies and unauthorized data changes.

Distributed SystemsHBaseMessage Queue
0 likes · 12 min read
Real-Time Loss Prevention System: Architecture and Implementation at YouZan
Architecture Digest
Architecture Digest
May 16, 2020 · Backend Development

RocketMQ Producer and Consumer Best Practices and Configuration Guide

This article provides a comprehensive guide to using RocketMQ, covering producer and consumer message handling, tag and key usage, logging, failure retry strategies, oneway sending, broker roles, name server addressing, client configuration, JVM and Linux kernel tuning, and practical code examples.

ConsumerMessage QueueProducer
0 likes · 19 min read
RocketMQ Producer and Consumer Best Practices and Configuration Guide
Top Architect
Top Architect
May 14, 2020 · Big Data

Kafka Overview, Architecture, Installation, and Operational Guide

This article provides a comprehensive introduction to Kafka, covering its definition, message queue concepts, architecture components, installation steps, configuration details, startup procedures, operational commands, producer and consumer mechanisms, reliability guarantees, partition strategies, offset management, and performance optimizations.

Big DataConsumerInstallation
0 likes · 22 min read
Kafka Overview, Architecture, Installation, and Operational Guide
Programmer DD
Programmer DD
May 12, 2020 · Operations

Boost RabbitMQ Reliability: Proven Strategies for Producers, Consumers, and Ops

This comprehensive guide explains how to enhance RabbitMQ reliability by covering confirmation mechanisms, producer and consumer configurations, queue mirroring, alerting, monitoring metrics, and health‑check commands, providing actionable steps for developers and operations teams to ensure stable message delivery.

Message QueueMonitoringOperations
0 likes · 22 min read
Boost RabbitMQ Reliability: Proven Strategies for Producers, Consumers, and Ops
Architecture Digest
Architecture Digest
May 3, 2020 · Big Data

Kafka Concept Overview

This article provides a comprehensive introduction to Kafka, covering its definition, message‑queue models, architecture components, installation steps, configuration details, producer and consumer mechanisms, reliability guarantees, partition assignment strategies, offset management, and high‑performance read/write techniques.

Big DataConsumerKafka
0 likes · 20 min read
Kafka Concept Overview
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Apr 26, 2020 · Backend Development

How to Build a Million‑Message‑Per‑Second RabbitMQ Cluster: Lessons from Google

This article explains how to design and scale a RabbitMQ cluster capable of handling millions of messages per second, covering core concepts, Google’s large‑scale test setup, sharding and federation plugins, mirror queues, reliability mechanisms, and practical tips for high‑availability and performance optimization.

Message QueueRabbitMQScaling
0 likes · 25 min read
How to Build a Million‑Message‑Per‑Second RabbitMQ Cluster: Lessons from Google
Java Captain
Java Captain
Apr 9, 2020 · Backend Development

Introduction to RabbitMQ: Overview, Use Cases, Advantages, and Drawbacks

This article introduces RabbitMQ, explains its core concepts and AMQP protocol, outlines common scenarios such as decoupling, asynchronous processing, and traffic shaping, and discusses the benefits and challenges of integrating a message queue into backend architectures.

AMQPAsynchronousDecoupling
0 likes · 8 min read
Introduction to RabbitMQ: Overview, Use Cases, Advantages, and Drawbacks
Qunar Tech Salon
Qunar Tech Salon
Apr 9, 2020 · Backend Development

RabbitMQ vs Kafka: Key Differences and How to Choose Between Them

This article compares RabbitMQ and Apache Kafka across architecture, message ordering, routing, timing, retention, fault handling, scalability, and consumer complexity, providing guidance on when to prefer each system based on functional and non‑functional requirements.

KafkaMessage QueueRabbitMQ
0 likes · 17 min read
RabbitMQ vs Kafka: Key Differences and How to Choose Between Them
Programmer DD
Programmer DD
Mar 28, 2020 · Backend Development

Why Is Kafka So Fast? Uncover the 11 Performance Secrets

Kafka achieves its remarkable speed by combining sequential I/O, batch processing, compression, zero‑copy, careful client‑side work, and a design that avoids costly fsync and garbage collection, while maintaining durability, ordering, and at‑least‑once delivery, making it a high‑throughput, low‑latency event streaming platform.

Batch ProcessingDistributed SystemsKafka
0 likes · 15 min read
Why Is Kafka So Fast? Uncover the 11 Performance Secrets
Qunar Tech Salon
Qunar Tech Salon
Mar 19, 2020 · Big Data

Apache Kafka Overview: Architecture, Features, and Usage

This article provides a comprehensive introduction to Apache Kafka, covering its high‑throughput distributed architecture, core concepts such as topics, partitions, brokers, producers and consumers, design goals, performance characteristics, deployment steps, configuration, and example code for producers, consumers, and Spring Boot integration.

Big DataDistributed SystemsKafka
0 likes · 39 min read
Apache Kafka Overview: Architecture, Features, and Usage
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Mar 4, 2020 · Big Data

Understanding Kafka: Core Concepts, Architecture, and Performance Secrets

This article introduces Kafka's role as a message system, explains its fundamental components such as topics, partitions, producers, consumers, and replicas, and dives into cluster architecture, consumer groups, Zookeeper coordination, and performance optimizations like sequential writes, zero‑copy, log segmentation, and network design.

KafkaMessage QueuePerformance
0 likes · 13 min read
Understanding Kafka: Core Concepts, Architecture, and Performance Secrets
Big Data Technology & Architecture
Big Data Technology & Architecture
Feb 27, 2020 · Fundamentals

Message Queue Usage, Advantages, Disadvantages, and High‑Availability Design

The article explains why message queues are used, outlines their core scenarios—decoupling, asynchronous processing, and traffic shaping—compares Kafka, ActiveMQ, RabbitMQ, and RocketMQ, and details how to ensure high availability, reliability, idempotency, ordering, and scalability in production systems.

IdempotencyKafkaMessage Queue
0 likes · 34 min read
Message Queue Usage, Advantages, Disadvantages, and High‑Availability Design
Architecture Digest
Architecture Digest
Feb 24, 2020 · Backend Development

Understanding RocketMQ Transaction Messages with Code Examples

This article explains RocketMQ's transaction message feature, covering core concepts, the execution flow, and provides complete Java code examples for an order service and a product service that demonstrate how distributed transactions are implemented and verified.

JavaMessage QueueRocketMQ
0 likes · 9 min read
Understanding RocketMQ Transaction Messages with Code Examples
360 Tech Engineering
360 Tech Engineering
Feb 21, 2020 · Backend Development

Understanding Message Middleware: Queue and Publish‑Subscribe Styles

This article explains how modern message middleware works by describing the two primary communication styles—message queuing and publish‑subscribe—illustrating each with examples, comparing their characteristics, and listing common middleware products to help developers choose the appropriate solution for their backend systems.

Distributed SystemsMessage QueuePublish-Subscribe
0 likes · 5 min read
Understanding Message Middleware: Queue and Publish‑Subscribe Styles
Tencent Cloud Developer
Tencent Cloud Developer
Feb 18, 2020 · Backend Development

Technical Overview of Tencent Cloud CKafka for High-Scale Online Classroom Messaging

Tencent Cloud CKafka powers Tencent Classroom’s pandemic‑era online teaching by replacing a custom queue with a high‑performance, highly available, partition‑based message bus that scales to millions of real‑time interactions, offers configurable replication and tuning for reliability, and integrates with big‑data and streaming tools for analytics.

Backend DevelopmentCKafkaKafka
0 likes · 15 min read
Technical Overview of Tencent Cloud CKafka for High-Scale Online Classroom Messaging
Java Captain
Java Captain
Feb 12, 2020 · Backend Development

Comprehensive Comparison of Kafka, RabbitMQ, ZeroMQ, RocketMQ, and ActiveMQ

This article provides a detailed side‑by‑side comparison of five popular message‑queue systems—Kafka, RabbitMQ, ZeroMQ, RocketMQ and ActiveMQ—covering documentation, supported languages, protocols, storage, transactions, load balancing, clustering, management interfaces, availability, throughput, subscription models, ordering, acknowledgments, replay, retry, concurrency and more.

ActiveMQKafkaMessage Queue
0 likes · 21 min read
Comprehensive Comparison of Kafka, RabbitMQ, ZeroMQ, RocketMQ, and ActiveMQ
Big Data Technology & Architecture
Big Data Technology & Architecture
Feb 11, 2020 · Backend Development

Message Queue Interview Guide: Benefits, Drawbacks, High Availability, Idempotency, Ordering and Design Strategies

This article provides a comprehensive interview‑oriented overview of message queues, explaining why they are used, their core advantages and disadvantages, comparing Kafka, RabbitMQ, ActiveMQ and RocketMQ, and detailing high‑availability, reliability, idempotency, ordering, backlog handling and architectural design considerations.

IdempotencyKafkaMessage Queue
0 likes · 33 min read
Message Queue Interview Guide: Benefits, Drawbacks, High Availability, Idempotency, Ordering and Design Strategies
Architecture Digest
Architecture Digest
Jan 18, 2020 · Backend Development

Comprehensive Comparison of Kafka, RabbitMQ, ZeroMQ, RocketMQ, and ActiveMQ Across 17 Aspects

This article provides a detailed side‑by‑side comparison of five popular message‑queue systems—Kafka, RabbitMQ, ZeroMQ, RocketMQ and ActiveMQ—covering documentation, language support, protocols, storage, transactions, load balancing, clustering, management UI, availability, duplication handling, throughput, subscription models, ordering, acknowledgments, replay, retry mechanisms and concurrency.

KafkaMessage QueueRabbitMQ
0 likes · 25 min read
Comprehensive Comparison of Kafka, RabbitMQ, ZeroMQ, RocketMQ, and ActiveMQ Across 17 Aspects
Big Data Technology & Architecture
Big Data Technology & Architecture
Jan 16, 2020 · Big Data

Kafka Interview Guide: Core Concepts, Architecture, and Practical Tips

This article compiles essential Kafka interview material, covering its role as a message queue, usage scenarios, architectural components, storage mechanisms, consumer group rebalancing, high‑availability features, replication details, ordering guarantees, producer/consumer client design, topic management, log retention, performance optimizations, and key monitoring metrics.

Big DataDistributed SystemsInterview
0 likes · 16 min read
Kafka Interview Guide: Core Concepts, Architecture, and Practical Tips
21CTO
21CTO
Jan 14, 2020 · Operations

How ByteDance Scaled RocketMQ with Proxies for High‑Performance Messaging and Disaster Recovery

This article details ByteDance's (今日头条) migration to RocketMQ, explaining the business drivers, the reasons for choosing RocketMQ, the proxy‑based architecture for producers and consumers, performance gains, operational challenges, and the disaster‑recovery designs implemented to ensure high availability in a micro‑service environment.

Message QueueProxy ArchitectureRocketMQ
0 likes · 14 min read
How ByteDance Scaled RocketMQ with Proxies for High‑Performance Messaging and Disaster Recovery
360 Quality & Efficiency
360 Quality & Efficiency
Jan 7, 2020 · Backend Development

Scaling a Backend: From Single Server to Reverse Proxy, Load Balancing, Microservices, Caching, and Partitioning

This article explains how to evolve a simple single‑node backend by adding a reverse proxy, introducing load balancers, scaling databases, adopting micro‑services, leveraging caches and CDNs, using message queues, and applying partitioning techniques to handle massive traffic while maintaining consistency and reliability.

CachingMessage QueueMicroservices
0 likes · 10 min read
Scaling a Backend: From Single Server to Reverse Proxy, Load Balancing, Microservices, Caching, and Partitioning
Tencent Cloud Developer
Tencent Cloud Developer
Jan 6, 2020 · Big Data

Overview of TubeMQ: Principles, Architecture, Performance, and Open‑Source Strategy for Big‑Data Message Queues

TubeMQ is a trillion‑level, Java‑based distributed message‑queue middleware designed for massive‑data ingestion, offering 140 k TPS with sub‑5 ms latency, high reliability, low cost, and horizontal scalability, and is being open‑sourced to the Apache foundation to foster community collaboration and future expansion beyond traditional MQ functions.

Big DataDistributed SystemsMessage Queue
0 likes · 15 min read
Overview of TubeMQ: Principles, Architecture, Performance, and Open‑Source Strategy for Big‑Data Message Queues
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 15, 2019 · Operations

Understanding RocketMQ: Architecture, Key Features, and Best Practices

This article provides a comprehensive overview of RocketMQ, covering its architecture, how it handles ordered and duplicate messages, transaction processing, producer and consumer mechanisms, storage design, subscription models, and practical best‑practice recommendations for building reliable distributed messaging systems.

Distributed SystemsDuplicationMessage Queue
0 likes · 23 min read
Understanding RocketMQ: Architecture, Key Features, and Best Practices
Java High-Performance Architecture
Java High-Performance Architecture
Dec 7, 2019 · Backend Development

How Zookeeper Powers Kafka: Key Roles Explained

This article explains how Zookeeper functions as an essential part of Kafka by managing broker status, controller election, quotas, ISR tracking, node and topic registration, as well as consumer offset storage and registration, providing a comprehensive overview for interview preparation.

BrokerConsumerKafka
0 likes · 4 min read
How Zookeeper Powers Kafka: Key Roles Explained
ITPUB
ITPUB
Dec 2, 2019 · Backend Development

How Xiaomi Built Talos: A Scalable, Stateless Message Queue for Billions of Events

This article details Xiaomi's journey from Kafka 0.8 to the home‑grown Talos system, covering business motivations, storage‑compute separation architecture, key challenges such as tail‑read and consistency, and extensive performance, resource, and platform optimizations that enable a high‑throughput, multi‑tenant messaging service.

Distributed MessagingHDFSMessage Queue
0 likes · 16 min read
How Xiaomi Built Talos: A Scalable, Stateless Message Queue for Billions of Events
Architecture Digest
Architecture Digest
Nov 25, 2019 · Big Data

Introduction to Apache Kafka: Core Concepts, Architecture, and APIs

This article provides a comprehensive overview of Apache Kafka, covering its fundamental capabilities, typical use cases, core components, key APIs, and essential concepts such as topics, partitions, segments, brokers, producers, and consumers, illustrated with diagrams.

APIsBig DataDistributed Systems
0 likes · 8 min read
Introduction to Apache Kafka: Core Concepts, Architecture, and APIs
Selected Java Interview Questions
Selected Java Interview Questions
Nov 21, 2019 · Backend Development

Message Queue Characteristics, Benefits, and Implementation in Distributed Systems

This article explains the fundamental properties of message queues, why they are needed, the advantages they bring such as improved response speed, stability, and decoupling, and discusses distributed system challenges and practical implementation considerations for selecting and deploying a suitable message‑queue solution.

Message Queueasynchronous processing
0 likes · 11 min read
Message Queue Characteristics, Benefits, and Implementation in Distributed Systems
Java Captain
Java Captain
Nov 20, 2019 · Backend Development

Exploring Advanced Features of Spring‑Kafka: Integration, Embedded Server, Topic Management, Transactions, and Message Handling

This article provides a comprehensive guide to using Spring‑Kafka, covering simple integration, embedded Kafka for testing, creating topics programmatically, advanced KafkaTemplate usage, transactional messaging, ReplyingKafkaTemplate for request‑reply, listener configurations, manual acknowledgments, lifecycle control, message forwarding, and retry with dead‑letter queues.

Embedded KafkaJavaKafka
0 likes · 19 min read
Exploring Advanced Features of Spring‑Kafka: Integration, Embedded Server, Topic Management, Transactions, and Message Handling
Programmer DD
Programmer DD
Nov 19, 2019 · Backend Development

17‑Point Comparison: Kafka vs RabbitMQ vs ZeroMQ vs RocketMQ vs ActiveMQ

This article provides a comprehensive 17‑point comparison of five popular message queue systems—Kafka, RabbitMQ, ZeroMQ, RocketMQ, and ActiveMQ—covering documentation, supported languages, protocols, storage, transactions, load balancing, clustering, management UI, availability, message duplication, throughput, subscription models, ordering, acknowledgments, replay, retries, concurrency, and more.

ActiveMQKafkaMessage Queue
0 likes · 23 min read
17‑Point Comparison: Kafka vs RabbitMQ vs ZeroMQ vs RocketMQ vs ActiveMQ
21CTO
21CTO
Nov 9, 2019 · Backend Development

How ByteDance Scales RocketMQ for Microservices and Disaster Recovery

This article details ByteDance’s adoption of RocketMQ within its massive microservice ecosystem, explaining the business challenges, reasons for choosing RocketMQ, the proxy‑based deployment architecture, encountered technical issues, and the multi‑datacenter disaster‑recovery strategies implemented to ensure high availability and performance.

Backend DevelopmentMessage QueueProxy Architecture
0 likes · 15 min read
How ByteDance Scales RocketMQ for Microservices and Disaster Recovery