Main Java features:

gistfile1.txt

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

2. Multithreading & Concurrency
- Thread synchronization, Executors, Locks
- Fork/Join framework
- Understanding of race conditions, deadlocks, and thread pools
- Concurrency utilities (java.util.concurrent)

3. Design Patterns & Architecture
- Common design patterns (Singleton, Factory, Builder)
- Architectural patterns (MVC, - Microservices, Event-Driven Architecture)
- Dependency Injection (DI), Inversion of Control (IoC)

4. 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

5. Classloaders and Reflection
- Custom class loaders
- Dynamic class loading
- Reflection for runtime behavior manipulation

6. 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)

7. Microservices Architecture
- Service discovery (Eureka, Consul)
- Load balancing, distributed tracing, and circuit breaking
- API Gateway (Zuul, NGINX)
- Asynchronous communication with Kafka, RabbitMQ

8. RESTful Web Services
- REST principles, building APIs
- JSON/XML handling
- API versioning, OpenAPI/Swagger documentation

9. Java I/O and NIO
- Blocking vs non-blocking I/O (NIO)
- Asynchronous I/O, channels, selectors
- File handling, serialization and deserialization

10. Reactive Programming
- Project Reactor, RxJava
- Event-driven architecture, backpressure
- Reactive streams, non-blocking IO

11. JPA/Hibernate
- ORM principles, entity relationships
- Lazy vs eager loading
- Caching strategies, query optimization

12. Database Optimization
- SQL optimization, indexing, and transactions
- NoSQL databases (MongoDB, Cassandra)
- ACID principles, CAP theorem

13. Distributed Systems
- Consistency, availability, partitioning (CAP)
- Event sourcing, CQRS (Command Query Responsibility Segregation)
- Distributed caching (Redis, Hazelcast)
- Tools: Apache ZooKeeper, Consul, etcd

14. Testing & TDD/BDD
- Unit testing (JUnit, Mockito)
- Integration and functional testing
- Behavior-driven development (Cucumber)

15. CI/CD & DevOps
- Continuous integration (Jenkins, CircleCI)
- Containerization with Docker
- Orchestration with Kubernetes
- Source control (Git), versioning, branching strategies

16. Performance Tuning & Optimization
- JVM tuning, garbage collection optimization
- Caching strategies, load balancing
-Tools for profiling and monitoring (Prometheus, Grafana)

17. Security
- Authentication/authorization (OAuth2, JWT)
- Secure coding (OWASP guidelines)
- Encryption (TLS/SSL), CSRF/XSS prevention

18. Cloud Platforms & API Gateways
- AWS, Azure, GCP deployment
-API Gateway (Zuul, NGINX) for rate-limiting and routing
- Cloud-native microservices tools

19. Logging & Monitoring
- Centralized logging (ELK Stack, Graylog)
- Distributed tracing (Jaeger, Zipkin)
- Application Performance Monitoring (APM)

20. Caching Mechanisms
- In-memory caching (Ehcache, Caffeine)
- Distributed caching (Redis, Memcached)
- Cache invalidation strategies (LRU, LFU)

21. Build Tools
- Maven and Gradle for dependency management
- Multi-module project handling
- Continuous delivery pipelines

22. Message Queuing Systems
- Kafka, RabbitMQ for event-driven microservices
- Pub/Sub models, distributed message brokers