Comprehensive Spring Cloud Microservices Architecture Course Outline
This course provides a detailed, step‑by‑step curriculum covering Spring Cloud microservice architecture, distributed systems fundamentals, performance optimization, source‑code deep dives, middleware, cloud services, data handling, performance tuning, design patterns, and essential development tools for building high‑performance, scalable backend solutions.
This course will guide you through an in‑depth understanding of Spring Cloud microservice architecture, from fundamentals to hands‑on projects, exploring performance and stability improvements for microservice systems.
Chapter 1 – Prerequisite Studies: Internet architecture evolution, Zookeeper basics, Redis applications, Spring Cloud overview, Dubbo introduction, Skywalking practice, thread‑pool usage, data structures and algorithms (upper and lower), MongoDB basics, Apollo practice, container technology overview, ELK platform practice, network programming basics.
Chapter 2 – Distributed Systems: RPC communication principles, Netty communication technology (three parts), hand‑written RPC (upper and lower), Dubbo core source analysis (upper and lower).
Chapter 3 – Microservices: Advanced Spring Cloud applications (upper and lower), Spring Cloud Alibaba technology stack (four parts), Q&A and review, distributed‑microservice assessment.
Chapter 4 – Source Code Deep Dives: MyBatis source analysis (upper and lower), Spring source deep analysis (four parts), SpringBoot source analysis (upper and lower), Tomcat source analysis, JDK source analysis (upper, middle, lower), Q&A and review.
Chapter 5 – Middleware: Nginx/OpenResty load balancing (upper and lower), Kafka deep analysis (three parts), RabbitMQ deep analysis (upper and lower), RocketMQ deep analysis (middle), Q&A and review.
Chapter 6 – Cloud Services: Full‑link load testing (upper and lower), Docker containerization (upper and lower), Kubernetes orchestration (upper, middle, lower), ServiceMesh practice (upper and lower), essential Linux skills, LVS+Keepalived high‑availability deployment, Q&A and review.
Chapter 7 – Data: High‑performance Redis caching (three parts), MySQL production scaling (upper and lower), TiDB as MySQL alternative for massive data, distributed file storage solutions (upper and lower), employment & interview guidance, MongoDB dynamic scaling (upper and lower), ElasticSearch distributed search engine (three parts), Q&A and review.
Chapter 8 – Performance: Multithreaded concurrency tuning (three parts), JVM kernel tuning (upper and lower), high‑performance Disruptor queue, cloud‑service + data assessment, MySQL database tuning (three parts).
Chapter 9 – Design: Design patterns (upper and lower), advanced application‑level algorithm concepts (upper and lower), software architecture design guide (upper and lower), agile development management, Alibaba code standards and tools, Q&A and review.
Chapter 10 – Tools: Evolution of build tools from Ant to Maven, Groovy language and applications, common third‑party libraries, Alibaba Arthas Java tool, Zabbix server monitoring, Prometheus practice, Jenkins CI, Git version control, scheduled task tools, often‑overlooked testing tools.
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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