Comprehensive Backend Development and Cloud Native Training Curriculum

The syllabus presents a comprehensive training program divided into multiple numbered sessions, each focusing on specific technologies and concepts.

Section 1: Internet architecture evolution and core components, including Zookeeper, Dubbo, Spring Cloud, Apollo, Skywalking, thread pool basics, MongoDB, Redis, data structures and algorithms, containerization overview, and network programming basics.

Section 2: Opening ceremony.

Section 3: RPC communication principles and hands‑on practice, followed by an in‑depth three‑part series on Netty and a two‑part hands‑on implementation of RPC.

Section 4: Advanced Spring Cloud applications and principles, plus three sessions on Spring Cloud Alibaba and a review Q&A on distributed and microservice stages.

Section 5: MySQL scaling for billion‑row production environments, MongoDB dynamic scaling, unlimited capacity distributed storage solutions, high‑performance Redis caching (three parts), distributed search with ElasticSearch, TiDB as a MySQL alternative for massive data, and a data‑chapter review session.

Section 6: Soft load balancing with Nginx and OpenResty (two parts), deep dives into RabbitMQ, Kafka, and RocketMQ (each split into multiple parts), and a middleware Q&A and review session.

Section 7: Full‑link pressure testing (two parts), design patterns (two parts), essential Linux skills, high‑availability deployment with LVS + Keepalived, and related assessments.

Section 8: MyBatis source analysis (two parts), Spring source deep dive (four parts), SpringBoot source analysis (two parts), JDK source analysis (three parts), Tomcat source analysis, and a source‑stage Q&A.

Section 9: Containerization with Docker (two parts), container orchestration with Kubernetes (three parts), ServiceMesh practical sessions (two parts), and a final assessment on containerization.

Section 10: Alibaba code standards and tools, containerization Q&A, agile development management, software architecture design (two parts), and advanced algorithm thinking (two parts) with a design‑chapter Q&A.

Section 11: MySQL database tuning (three parts), JVM kernel tuning (two parts), concurrency and multithreading optimization (three parts), high‑performance queue Disruptor, and a performance‑chapter Q&A.

Section 12: Common third‑party libraries, Arthas Java debugging tool, Jenkins CI, Zabbix monitoring, Prometheus practical use, Git version control, Maven/Ant build tools evolution, Groovy language, scheduling tools, and overlooked testing topics.

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Recommended reading links are provided for further practical guides on Kubernetes, Prometheus, Redis, Docker, Nginx, and related technologies.