Course Outline

Introduction to Microservices & Spring Cloud

  • Monolithic vs Microservices Architecture
  • Core concepts of Microservices
  • Introduction to Spring Boot & Spring Cloud
  • Building a Simple RESTful Microservice with Spring Boot
  • Hands-on Lab: Implementing a Basic Microservice

Service Discovery & Configuration Management

  • Service Registration & Discovery using Eureka
  • Handling Load Balancing with Ribbon
  • Centralized Configuration with Spring Cloud Config
  • API Gateway with Spring Cloud Gateway
  • Hands-on Lab: Implementing API Gateway and Service Discovery

Communication & Resilience

  • Inter-Service Communication using Feign Clients
  • Implementing Circuit Breakers with Resilience4J
  • Handling Failures and Fallback Mechanisms
  • Distributed Tracing with Spring Cloud Sleuth & Zipkin
  • Hands-on Lab: Configuring Service Resilience

Containerizing Microservices with Docker

  • Introduction to Containers and Docker
  • Dockerizing a Spring Boot Application
  • Creating Multi-Container Applications with Docker Compose
  • Managing Microservices with Docker Networks
  • Hands-on Lab: Deploying Microservices with Docker Compose

Monitoring, Logging, and Security

  • Monitoring Microservices with Spring Boot Actuator
  • Centralized Logging using ELK Stack (Elasticsearch, Logstash, Kibana)
  • Security Best Practices for Microservices
  • Configuring Authentication and Authorization
  • Hands-on Lab: Setting Up Security and Monitoring

Scaling and Orchestration with Kubernetes

  • Introduction to Kubernetes and Container Orchestration
  • Deploying Microservices in Kubernetes
  • Scaling and Managing Microservices in Production
  • Load Balancing and Auto-Scaling
  • Hands-on Lab: Deploying Microservices on Kubernetes

Advanced Microservices Patterns

  • Event-Driven Architecture with Kafka
  • Service Mesh with Istio
  • Distributed Transactions and Saga Pattern
  • CI/CD Pipelines for Microservices
  • Hands-on Lab: Implementing Advanced Microservices Patterns

Final Project and Best Practices

  • Building a Complete Microservices System
  • Debugging and Troubleshooting Common Issues
  • Performance Optimization Strategies
  • Best Practices for Production Deployments
  • Q&A and Final Wrap-Up

Summary and Next Steps

Requirements

  • An understanding of microservices architecture
  • Experience with Java and Spring Boot
  • Basic knowledge of REST APIs and containers

Audience

  • Software Developers
  • DevOps Engineers
  • Cloud Architects
  • System Administrators
 35 Hours

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