Learn Microservices Architecture with .Net Core
Description:
In this course you are going to learn a comprehensive set of skills and knowledge necessary to build scalable, resilient, and maintainable microservices using the ASP.NET Core framework. Here are the key topics typically covered in such a course:
Introduction to Microservices Architecture:
Understanding the principles and advantages of microservices over monolithic architectures.
Key characteristics of microservices: independence, scalability, resilience, etc.
Setting Up ASP.NET Core for Microservices:
Installing and configuring ASP.NET Core.
Creating a new project structure suitable for microservices.
Building Microservices:
Designing microservices based on domain-driven design (DDD) principles.
Implementing microservices using ASP.NET Core Web API.
Handling service-to-service communication (RESTful APIs, gRPC, etc.).
Service Discovery and Load Balancing:
Implementing service discovery using tools like Consul, Eureka, or Kubernetes Service Discovery.
Load balancing strategies for microservices.
Containerization with Docker:
Docker fundamentals: containers, images, Dockerfile, Docker Compose.
Containerizing ASP.NET Core microservices.
Deploying Microservices:
Deploying microservices to cloud platforms (Azure, AWS, Google Cloud).
Orchestration tools for microservices (Kubernetes, Docker Swarm).
Managing Data in Microservices:
Choosing appropriate databases for microservices (SQL, NoSQL).
Patterns for data consistency in microservices architecture.
Securing Microservices:
Authentication and authorization strategies.
Securing communication between microservices.
Monitoring and Logging:
Implementing health checks.
Logging strategies and tools (ELK stack, Serilog, Application Insights).
Testing Microservices:
Unit testing and integration testing for microservices.
Mocking dependencies for testing.
Continuous Integration and Continuous Deployment (CI/CD):
Setting up pipelines for CI/CD.
Automating deployments and testing.
Scaling Microservices:
Horizontal scaling strategies.
Autoscaling based on metrics.
Best Practices and Patterns:
Common microservices design patterns (e.g., Saga pattern, Circuit Breaker pattern).
Performance optimization techniques.