Comprehensive Java Backend Architecture Course: Spring, SpringBoot, JVM, MySQL, Redis, Microservices, and More
This course provides an in‑depth exploration of the technical challenges faced by Java architects, covering Spring bean lifecycle, AOP, transaction mechanisms, SpringBoot auto‑configuration, JVM memory models, MySQL indexing, Redis caching, microservice patterns, distributed locks, and performance optimization techniques across 99 video modules.
This course is designed for Java architects and backend engineers seeking comprehensive knowledge of the technologies and best practices required to handle massive traffic and data volumes.
It covers Spring framework fundamentals such as bean lifecycle, constructor injection, dependency injection, initialization phases, AOP implementation, transaction propagation, @Configuration, and provides hands‑on source code analysis of SpringBoot auto‑configuration, Tomcat integration, startup process, conditional annotations, and custom implementations.
The curriculum dives deep into the Java Virtual Machine, exploring bytecode, memory model, garbage collection (CMS, G1, ZGC), HotSpot source code, JVM tuning for high‑concurrency scenarios, and tools like Arthas.
Database topics include MySQL indexing strategies (B+ tree, covering index, index push‑down), query plan analysis, left‑most prefix optimization, primary key design, InnoDB transaction mechanisms, ACID principles, isolation levels, MVCC, lock mechanisms, and practical performance tuning for e‑commerce workloads.
Redis sections examine core data structures (string, list, hash, ZSet, skiplist), compression techniques, caching architectures, distributed lock implementations with Redisson, cache penetration and breakdown mitigation, and real‑world use cases such as live‑streaming, e‑commerce recommendation, and messaging systems.
Additional modules address distributed systems and microservices, including service discovery with Nacos, traffic protection with Sentinel (rate limiting, sliding windows, token bucket), distributed transactions with Seata, tracing with SkyWalking, and high‑throughput networking using Netty and Reactor.
Practical labs demonstrate building large‑scale chat systems, offline message storage, message reliability, and integrating Redis with MySQL/HBase for massive historical data.
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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