javaguide

JavaGuide is an open-source knowledge base and tutorial collection primarily in Chinese, designed to help developers systematically prepare for Java backend interviews and complete their backend technology framework. It is not an executable software project but a continuously maintained technical documentation directory. Its content is clearly organized, broken down into numerous independent Markdown articles by topic, and accompanied by an online reading site and an interview crash course version. The main content includes: - Backend Interview Preparation: Java backend interview mastery plans, learning roadmaps, resume writing guides, and project experience guides. - Java Core Knowledge: Basic syntax, collection frameworks (including source code analysis of ArrayList, HashMap, ConcurrentHashMap, etc.), IO/NIO, concurrent programming (locks, CAS, JMM, thread pools, AQS, etc.), JVM (memory areas, garbage collection, class loading), and new features from Java 8 to Java 25. - Computer Fundamentals: Operating systems, computer networks, data structures and algorithms, covering common interview questions and detailed explanations of important concepts. - Databases: Relational database fundamentals, MySQL (indexes, transactions, logs, MVCC, execution plans, etc.), Redis (data structures, persistence, clusters, etc.), MongoDB, and summaries related to Elasticsearch. - Development Tools: Maven, Gradle, Docker, Git. - System Design: RESTful APIs, software engineering, code standards, Spring/Spring Boot, MyBatis, authentication and authorization, data security, scheduled tasks, real-time message push, etc. - Distributed Systems: CAP/BASE, consensus algorithms, RPC, ZooKeeper, API gateways, distributed IDs, distributed locks, distributed transactions, configuration centers, etc. - High Performance and High Availability: Database optimization, load balancing, CDN, message queues (RabbitMQ, RocketMQ, Kafka, Disruptor), rate limiting, circuit breaking and degradation, timeout retries, disaster recovery, and multi-active deployment across regions. - AI Application Development: Additionally open-sourced an AI application development and interview guide tailored for backend developers, involving practices with LLM, Agent, RAG, MCP, etc. The project also provides an online reading website and PDF version downloads, encouraging contributions via GitHub or Gitee. Overall, it is suitable for developers preparing for Java backend interviews, organizing their backend knowledge system, or using it as a daily reference manual.