Enterprise Java Development

Java Spring Boot Development Best Practices Project Structure & Configuration Organize your Spring Boot application with proper package structure and configuration. Entity & Repository Layer Create JPA entities and repositories with proper relationships and queries. Service Layer with Business Logic Implement business logic in service classes with proper transaction management. REST Controllers with Validation Create RESTful controllers with proper validation and error handling. DTOs and Validation Define data transfer objects with comprehensive validation. Exception Handling Implement comprehensive exception handling with proper error responses. Configuration & Security Configure security and application properties properly. Testing with JUnit 5 Write comprehensive tests for all application layers. Database Migration with Flyway Manage database schema changes with Flyway migrations. Caching & Performance Implement caching strategies for improved performance. Checklist [ ] Use proper Spring Boot project structure with clear package organization [ ] Create JPA entities with appropriate annotations and relationships [ ] Implement repositories with custom queries and proper naming conventions [ ] Build service layer with business logic and transaction management [ ] Create REST controllers with proper validation and error handling [ ] Define DTOs with comprehensive validation annotations [ ] Implement global exception handling with meaningful error responses [ ] Configure security and application properties appropriately [ ] Write comprehensive unit and integration tests [ ] Use Flyway for database schema migration management [ ] Implement caching strategies for performance optimization [ ] Follow Java naming conventions and Spring Boot best practices [ ] Use Lombok to reduce boilerplate code [ ] Implement proper logging throughout the application [ ] Document APIs with OpenAPI/Swagger annotations

Microservices Architecture Patterns and Implementation Microservices Architecture Design Principles Core Design Principles Service Design Template Service Communication Patterns Synchronous Communication with Circuit Breaker Asynchronous Communication with Event Bus Data Management Patterns Database per Service Pattern Event Sourcing Implementation Service Discovery and Load Balancing Service Registry Implementation API Gateway Implementation Comprehensive API Gateway Monitoring and Observability Distributed Tracing Implementation Security Patterns Service-to-Service Authentication Testing Strategies Integration Testing Framework Deployment Strategies Kubernetes Microservices Deployment Performance Optimization Performance Monitoring and Optimization Implementation Checklist [ ] Define service boundaries based on business capabilities [ ] Implement service communication patterns (sync/async) [ ] Set up service discovery and load balancing [ ] Implement API gateway with routing and middleware [ ] Design data management strategy (database per service) [ ] Implement distributed transaction patterns (Saga, Event Sourcing) [ ] Set up distributed tracing and monitoring [ ] Implement service-to-service authentication [ ] Create comprehensive testing strategy [ ] Set up CI/CD pipelines for microservices [ ] Deploy to container orchestration platform [ ] Implement performance monitoring and alerting [ ] Plan for service versioning and backward compatibility [ ] Set up centralized logging and metrics collection This comprehensive guide provides the foundation for building robust, scalable microservices architecture with proper patterns, communication strategies, and operational considerations.

Postgresql Advanced This document provides comprehensive guidelines for postgresql advanced development and best practices. Advanced SQL Window Window functions for analytical queries Implement proper window functions for analytical queries Follow best practices for optimal results Common Common Table Expressions (CTEs) Implement proper common table expressions (ctes) Follow best practices for optimal results Recursive Recursive queries Implement proper recursive queries Follow best practices for optimal results JSONB JSONB operations and indexing Implement proper jsonb operations and indexing Follow best practices for optimal results Full-text Full-text search capabilities Implement proper full-text search capabilities Follow best practices for optimal results Performance Optimization Query Query plan analysis with EXPLAIN Implement proper query plan analysis with explain Follow best practices for optimal results Index Index usage and optimization Implement proper index usage and optimization Follow best practices for optimal results Table Table partitioning strategies Implement proper table partitioning strategies Follow best practices for optimal results Connection Connection pooling with PgBouncer Implement proper connection pooling with pgbouncer Follow best practices for optimal results Query Query optimization techniques Implement proper query optimization techniques Follow best practices for optimal results Data Types & Features JSONB JSONB for semi-structured data Implement proper jsonb for semi-structured data Follow best practices for optimal results Arrays Arrays for list data Implement proper arrays for list data Follow best practices for optimal results UUID UUID for unique identifiers Implement proper uuid for unique identifiers Follow best practices for optimal results Geometric Geometric types for spatial data Implement proper geometric types for spatial data Follow best practices for optimal results Custom Custom enumerated types Implement proper custom enumerated types Follow best practices for optimal results Backup & Recovery pg_dump pg_dump for logical backups Implement proper pg_dump for logical backups Follow best practices for optimal results Continuous Continuous archiving with WAL Implement proper continuous archiving with wal Follow best practices for optimal results Point-in-time Point-in-time recovery (PITR) Implement proper point-in-time recovery (pitr) Follow best practices for optimal results Streaming Streaming replication setup Implement proper streaming replication setup Follow best practices for optimal results Backup Backup verification strategies Implement proper backup verification strategies Follow best practices for optimal results High Availability Master-slave Master-slave replication Implement proper master-slave replication Follow best practices for optimal results Streaming Streaming replication Implement proper streaming replication Follow best practices for optimal results Logical Logical replication Implement proper logical replication Follow best practices for optimal results Connection Connection failover Implement proper connection failover Follow best practices for optimal results Load Load balancing strategies Implement proper load balancing strategies Follow best practices for optimal results Advanced Features Materialized Materialized views for performance Implement proper materialized views for performance Follow best practices for optimal results Foreign Foreign data wrappers (FDW) Implement proper foreign data wrappers (fdw) Follow best practices for optimal results Table Table inheritance Implement proper table inheritance Follow best practices for optimal results Exclusion Exclusion constraints Implement proper exclusion constraints Follow best practices for optimal results Extensions Extensions and custom types Implement proper extensions and custom types Follow best practices for optimal results Follow these comprehensive guidelines for successful postgresql advanced implementation.