Backend Development 4 min read

Comprehensive RocketMQ Course: Source Code Deep Dive, Advanced Features, Performance Tuning, and Real‑World Projects

This course provides an in‑depth study of RocketMQ, covering its fundamentals, source‑code analysis, advanced features such as transactional and ordered messages, performance optimization, operational monitoring, and hands‑on projects that guide learners through installation, configuration, clustering, and integration with Spring Boot.

Practical DevOps Architecture
Practical DevOps Architecture
Practical DevOps Architecture
Comprehensive RocketMQ Course: Source Code Deep Dive, Advanced Features, Performance Tuning, and Real‑World Projects

Course Highlights: Deep source‑code exploration of RocketMQ, practical project implementation, and comprehensive coverage of design, implementation, and customization.

Course Content: Introduction to RocketMQ concepts and workflow, detailed source‑code analysis (message storage, routing, high‑availability), advanced features (transactional, ordered, delayed messages), performance optimization, operational monitoring, and real‑world project building.

Course Outline:

1. RocketMQ Overview and website browsing

2. Installation, startup, and testing of RocketMQ

3. Overall architecture and role introduction

4. Console (rocketmq‑console) installation and usage

5. Application scenarios and advantages

6. Batch message sending, asynchronous processing, broadcast and cluster messages, message filtering (including SQL filtering)

7. Transactional message basics, simple applications, re‑delivery mechanisms, and ensuring ordered consumption

8. Source‑code walkthroughs covering offset handling, long‑polling, CommitLog, ConsumerQueue, index files, configuration files, broker implementation, and data zero‑copy techniques

9. NameServer principles, startup source, clustering concepts, and DLedger introduction and deployment

10. Interview question solutions, load balancing, manual queue management, Spring Boot integration, consumer rules, load balancing on the consumer side, handling message backlog, and guaranteeing ordered consumption.

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distributed systemsPerformance OptimizationBackend Developmentsource code analysisMessage QueuerocketmqPractical Projects
Practical DevOps Architecture
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Practical DevOps Architecture

Hands‑on DevOps operations using Docker, K8s, Jenkins, and Ansible—empowering ops professionals to grow together through sharing, discussion, knowledge consolidation, and continuous improvement.

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