Microservices Architecture

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.

Docker Containerization Best Practices Dockerfile Optimization Multi-Stage Builds for Smaller Images Layer Caching Optimization Security Hardening Image Size Optimization Alpine Linux Base Images .dockerignore Configuration Distroless Images for Production Docker Compose for Development Complete Development Environment Development Dockerfile Health Checks and Monitoring Application Health Check Health Check Endpoint Environment Configuration Environment Variables Management Runtime Configuration Logging and Debugging Structured Logging Configuration Debug Container Setup Security Best Practices Secret Management Network Security Production Deployment Production Docker Compose CI/CD Pipeline Integration Performance Optimization Resource Limits Caching Strategies Monitoring and Observability Container Metrics Checklist for Docker Containerization [ ] Use multi-stage builds to minimize image size [ ] Implement proper layer caching strategies [ ] Create non-root user for security [ ] Configure .dockerignore for build optimization [ ] Add health checks and readiness probes [ ] Set up structured logging [ ] Implement secret management [ ] Configure resource limits and ulimits [ ] Use Alpine or distroless base images [ ] Set up development docker-compose [ ] Configure production deployment [ ] Implement container security scanning [ ] Add monitoring and observability [ ] Document container architecture

Kubernetes Deployment Best Practices Deployment Configuration Create robust deployment manifests with proper resource management. Service and Networking Configure services and ingress for proper networking and load balancing. ConfigMaps and Secrets Manage application configuration and sensitive data securely. Persistent Storage Configure persistent volumes and storage classes for data persistence. Resource Management and Autoscaling Implement horizontal and vertical pod autoscaling for optimal resource usage. Security and RBAC Implement proper security controls and role-based access control. Backup and Disaster Recovery Implement backup strategies and disaster recovery procedures. Multi-Environment Management Manage multiple environments with proper configuration and promotion strategies. Checklist [ ] Configure deployments with proper resource limits and health checks [ ] Set up services and ingress for networking and load balancing [ ] Manage configuration and secrets securely [ ] Implement persistent storage for stateful applications [ ] Configure autoscaling and resource management [ ] Implement proper security controls and RBAC [ ] Set up comprehensive monitoring and alerting [ ] Integrate with CI/CD pipelines for automated deployments [ ] Implement backup and disaster recovery strategies [ ] Use Kustomize or Helm for multi-environment management [ ] Follow Kubernetes naming conventions and labeling standards [ ] Implement network policies for security [ ] Use pod disruption budgets for high availability [ ] Monitor resource usage and optimize for cost [ ] Regularly update and patch container images and Kubernetes components

Golang Microservices This document provides comprehensive guidelines for golang microservices development and best practices. Go Best Practices Use Use interfaces for dependency injection Implement proper use interfaces for dependency injection Follow best practices for optimal results Error Error handling with explicit error returns Implement proper error handling with explicit error returns Follow best practices for optimal results Context Context for request lifecycle and cancellation Implement proper context for request lifecycle and cancellation Follow best practices for optimal results Graceful Graceful shutdown with signal handling Implement proper graceful shutdown with signal handling Follow best practices for optimal results Structured Structured logging with slog or logrus Implement proper structured logging with slog or logrus Follow best practices for optimal results HTTP API Development Use Use Gin or Echo for HTTP frameworks Implement proper use gin or echo for http frameworks Follow best practices for optimal results REST REST API design principles Implement proper rest api design principles Follow best practices for optimal results Middleware Middleware for authentication and logging Implement proper middleware for authentication and logging Follow best practices for optimal results Request Request validation and sanitization Implement proper request validation and sanitization Follow best practices for optimal results OpenAPI/Swagger OpenAPI/Swagger documentation Implement proper openapi/swagger documentation Follow best practices for optimal results Service Communication Synchronous: Synchronous: HTTP/REST and gRPC Implement proper synchronous: http/rest and grpc Follow best practices for optimal results Asynchronous: Asynchronous: Message queues (NATS, RabbitMQ) Implement proper asynchronous: message queues (nats, rabbitmq) Follow best practices for optimal results Event-driven Event-driven architecture patterns Implement proper event-driven architecture patterns Follow best practices for optimal results Circuit Circuit breaker pattern for resilience Implement proper circuit breaker pattern for resilience Follow best practices for optimal results Retry Retry mechanisms with exponential backoff Implement proper retry mechanisms with exponential backoff Follow best practices for optimal results Observability Structured Structured logging Implement proper structured logging Follow best practices for optimal results Metrics Metrics with Prometheus Implement proper metrics with prometheus Follow best practices for optimal results Distributed Distributed tracing with Jaeger Implement proper distributed tracing with jaeger Follow best practices for optimal results Health Health checks and readiness probes Implement proper health checks and readiness probes Follow best practices for optimal results Error Error monitoring and alerting Implement proper error monitoring and alerting Follow best practices for optimal results Deployment Docker Docker containerization Implement proper docker containerization Follow best practices for optimal results Kubernetes Kubernetes deployment manifests Implement proper kubernetes deployment manifests Follow best practices for optimal results Helm Helm charts for configuration Implement proper helm charts for configuration Follow best practices for optimal results CI/CD CI/CD pipelines Implement proper ci/cd pipelines Follow best practices for optimal results Blue-green Blue-green and canary deployments Implement proper blue-green and canary deployments Follow best practices for optimal results Follow these comprehensive guidelines for successful golang microservices implementation.

GraphQL API Development with Apollo Server Project Setup and Schema Design Apollo Server Setup with TypeScript Schema Definition with Type-GraphQL Connection and Edge Types for Pagination Resolver Implementation User Resolver with Complex Operations DataLoader for N+1 Problem Prevention Middleware and Authentication Authentication Middleware Context and Error Handling GraphQL Context Setup Error Formatting and Custom Errors Service Layer Implementation User Service with Business Logic Testing GraphQL APIs Integration Tests with Apollo Server Testing Performance Optimization Query Complexity Analysis Query Depth Limiting Checklist for GraphQL API Development [ ] Set up Apollo Server with proper TypeScript configuration [ ] Design schema using Type-GraphQL with proper input/output types [ ] Implement resolvers with field resolvers for nested data [ ] Set up DataLoader to prevent N+1 query problems [ ] Configure authentication and authorization middleware [ ] Implement proper error handling and formatting [ ] Add validation middleware for input sanitization [ ] Set up caching with Redis for frequently accessed data [ ] Implement rate limiting to prevent abuse [ ] Add query complexity and depth limiting [ ] Create comprehensive integration tests [ ] Set up monitoring and logging for GraphQL operations [ ] Implement pagination with cursor-based approach [ ] Add subscription support for real-time features [ ] Configure proper CORS and security headers