Java Developer - FAME-DEV/Java-Test GitHub Wiki

As a Java developer,

Please learn:

  1. Core Java Mastery
  • OOP principles (SOLID, DRY, KISS)
  • Generics, Lambda expressions, Functional interfaces
  • Java Streams API (map/reduce, collectors)
  • Java Collections framework
  • Java Reflection API
  • Exception handling
  1. Multithreading & Concurrency
  • Thread synchronization, Executors, Locks
  • Fork/Join framework
  • Understanding of race conditions, deadlocks, and thread pools
  • Concurrency utilities (java.util.concurrent)
  1. Design Patterns & Architecture
  • Common design patterns (Singleton, Factory, Builder)
  • Architectural patterns (MVC, - Microservices, Event-Driven Architecture)
  • Dependency Injection (DI), Inversion of Control (IoC)
  1. Java Memory Management
  • Garbage Collection (G1, CMS, ZGC)
  • JVM heap and stack management
  • Profiling tools (JProfiler, VisualVM)
  • Analyzing memory leaks, thread dumps, and heap dumps
  1. Classloaders and Reflection
  • Custom class loaders
  • Dynamic class loading
  • Reflection for runtime behavior manipulation
  1. Spring Framework & Spring Boot
  • Spring Core (Dependency Injection, AOP)
  • Spring Boot (Auto-configuration, Microservices support)
  • Spring Security (OAuth2, JWT)
  • Spring Data (JPA, Hibernate integration)
  • Spring Cloud (Netflix OSS, Circuit Breakers)
  1. Microservices Architecture
  • Service discovery (Eureka, Consul)
  • Load balancing, distributed tracing, and circuit breaking
  • API Gateway (Zuul, NGINX)
  • Asynchronous communication with Kafka, RabbitMQ
  1. RESTful Web Services
  • REST principles, building APIs
  • JSON/XML handling
  • API versioning, OpenAPI/Swagger documentation
  1. Java I/O and NIO
  • Blocking vs non-blocking I/O (NIO)
  • Asynchronous I/O, channels, selectors
  • File handling, serialization and deserialization
  1. Reactive Programming
  • Project Reactor, RxJava
  • Event-driven architecture, backpressure
  • Reactive streams, non-blocking IO
  1. JPA/Hibernate
  • ORM principles, entity relationships
  • Lazy vs eager loading
  • Caching strategies, query optimization
  1. Database Optimization
  • SQL optimization, indexing, and transactions
  • NoSQL databases (MongoDB, Cassandra)
  • ACID principles, CAP theorem
  1. Distributed Systems
  • Consistency, availability, partitioning (CAP)
  • Event sourcing, CQRS (Command Query Responsibility Segregation)
  • Distributed caching (Redis, Hazelcast)
  • Tools: Apache ZooKeeper, Consul, etcd
  1. Testing & TDD/BDD
  • Unit testing (JUnit, Mockito)
  • Integration and functional testing
  • Behavior-driven development (Cucumber)
  1. CI/CD & DevOps
  • Continuous integration (Jenkins, CircleCI)
  • Containerization with Docker
  • Orchestration with Kubernetes
  • Source control (Git), versioning, branching strategies
  1. Performance Tuning & Optimization
  • JVM tuning, garbage collection optimization -Tools for profiling and monitoring (Prometheus, Grafana)

Java Ultimate Resources Sheet

  1. Java Basic:
  1. Java OOPs:
  1. Java Collections:
  1. JVM architecture:
  1. Java Memory Model:
  1. Garbage Collections:
  1. Exception Handling:
  1. Generics:
  1. Serialization:
  1. Reflection API:
  1. File Handling:
  1. Java Functional Programming:
  1. Java multi-threading:
  1. Java Regex:
  1. Java 8 Features:
  1. Java All Remaining Features: