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Introduction to Microservices
Understanding the concept of microservices architecture
Contrasting microservices with monolithic architecture
Exploring the benefits and challenges of microservices
Design Principles and Patterns
Implementing the principles of microservices: single responsibility, autonomy, bounded context, etc.
Applying design patterns like service discovery, circuit breaker, and API gateway
Using domain-driven design (DDD) concepts in microservices architecture
Service Communication and API Design
Implementing inter-service communication using synchronous and asynchronous protocols (REST, messaging, etc.)
Defining and designing APIs for microservices
Exploring API versioning and backward compatibility strategies
Service Discovery and Registry
Implementing service discovery patterns and tools (e.g., Eureka, Consul, etcd)
Configuring service registration and discovery in a microservices ecosystem
Handling service registration and discovery failures
Load Balancing and Scaling
Understanding load balancing strategies for microservices
Configuring load balancers (e.g., Ribbon, Nginx) for distributing traffic
Scaling microservices horizontally and vertically
Resilience and Fault Tolerance
Implementing fault tolerance patterns (e.g., circuit breaker, bulkhead) in microservices
Using resilience frameworks (e.g., Hystrix, resilience4j) to handle failures
Implementing retry and fallback mechanisms
Data Management in Microservices
Choosing the right database technologies for microservices (relational, NoSQL, etc.)
Implementing data consistency and synchronization strategies
Managing data across multiple microservices (sagas, event sourcing, CQRS)
Distributed Logging and Tracing
Implementing logging and distributed tracing for microservices
Using tools like ELK Stack, Zipkin, or Jaeger for log aggregation and tracing
Analyzing logs and traces for troubleshooting and performance monitoring
Security and Authorization
Implementing security mechanisms like authentication and authorization
Applying security patterns for microservices (e.g., OAuth, JWT)
Handling cross-cutting concerns like API gateway security and service-to-service authentication
Testing and Continuous Integration
Strategies for testing microservices in isolation and as a whole system
Implementing unit tests, integration tests, and end-to-end tests
Integrating microservices testing into the CI/CD pipeline
Deployment and DevOps
Strategies for deploying microservices (containerization, serverless, etc.)
Using container orchestration platforms (e.g., Kubernetes, Docker Swarm)
Implementing DevOps practices for managing microservices deployments
Monitoring and Observability
Implementing monitoring and observability in a microservices ecosystem
Using tools like Prometheus, Grafana, or Datadog for metrics and monitoring
Implementing distributed tracing and log analysis for performance monitoring
Microservices Governance and Organization
Managing the lifecycle of microservices
Coordinating deployment and versioning of microservices
Team organization and communication in a microservices environment
Microservices Best Practices and Pitfalls
Understanding common pitfalls and challenges in microservices architecture
Applying best practices for designing, developing, and maintaining microservices
Learning from real-world use cases and case studies
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