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Learning content

Java Microservices Corse
Introduction to Microservices
    • Understanding Microservices Architecture
       
    • What are microservices?
       
    • Contrasting monolithic and microservices architectures. Benefits and challenges of microservices.
       
    • Microservices Principles and Patterns
       
    • Key principles of microservices.
       
    • Key principles of microservices.
       
    • Microservices communication (e.g., REST, gRPC).  
Designing Microservices
    • Domain-Driven Design (DDD)
       
    • Identifying bounded contexts.
       
    • Aggregates, entities, and value objects.  
    • Building a domain model.
    • Microservices Decomposition
       
    • Strategies for breaking down monoliths.
       
    • Service granularity.  
    • Data management strategies (polyglot persistence).
    • Microservices Data Management
       
    • Database per service.
       
    • Event sourcing and CQRS (Command Query Responsibility Segregation).  
    • Data consistency and transactions.
Developing Microservices
    • Microservices Development Tools and Frameworks
       
    • Choice of programming languages.
       
    • Containerization with Docker.  
    • Service frameworks (e.g., Spring Boot, Node.js).
    • Microservices Testing
       
    • Unit testing and integration testing.
       
    • Contract testing and consumer-driven contracts.  
    • Testing in isolation and with dependencies.
    • Testing in isolation and with dependencies.
       
    • Testing in isolation and with dependencies.
       
    • Testing in isolation and with dependencies.  
Microservices Communication and Orchestration
    • Inter-Service Communication
       
    • RESTful APIs and HTTP.
       
    • Message brokers (e.g., RabbitMQ, Kafka).  
    • RPC for high-performance communication.
    • Service Discovery and Load Balancing
       
    • Service registration and discovery.
       
    • Load balancing strategies.  
    • Circuit breakers and fault tolerance.
Monitoring and Logging
    • Microservices Observability
       
    • Logging, tracing, and metrics.
       
    • Tools like Prometheus, Grafana, and ELK stack.  
    • Distributed tracing with tools like Zipkin and Jaeger.
    • Performance Optimization
       
    • Identifying performance bottlenecks. Scaling strategies.
       
    • Auto-scaling and resource management.  
Security and Authentication
    • Microservices Security Principles
       
    • Securing communication.
       
    • Authorization and authentication.  
    • API security best practices.
    • OAuth and JWT
       
    • Implementing OAuth for API security.
       
    • Using JWT for authentication.  
Microservices Deployment and Management
    • Container Orchestration
       
    • Kubernetes and container orchestration basics.
       
    • Service Mesh  
    • Introduction to service mesh (e.g., Istio, Linkerd).
    • Traffic management and security with service mesh.
       
Best Practices and Case Studies
    • Microservices Best Practices
       
    • Lessons learned from real-world microservices projects.
       
    • Common pitfalls and how to avoid them.
       
    • Case Studies
    • Examining successful microservices implementations.
       
    • Architecture review of well-known microservices applications.
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