Node Js Microservice
Course Content
Module 1: Introduction to Microservices * What are microservices?
* Advantages and disadvantages of microservices architecture
* Contrasting monolithic vs. microservices architectures
* Real-world examples of successful microservices architectures
What are microservices?
00:00Advantages and disadvantages of microservices architecture
00:00Contrasting monolithic vs. microservices architectures
00:00Real-world examples of successful microservices architectures
00:00
Module 2: Node.js Fundamentals * Basics of Node.js
* Asynchronous programming with callbacks, promises, and async/await
* Understanding npm (Node Package Manager)
* Building RESTful APIs with Express.js
Basics of Node.js
00:00Asynchronous programming with callbacks, promises, and async/await
00:00Understanding npm (Node Package Manager)
00:00* Building RESTful APIs with Express.js
00:00
Module 3: Containerization with Docker * Introduction to Docker and containerization
* Installing Docker
* Docker containers vs. virtual machines
* Building and running Node.js applications in Docker containers
* Docker Compose for managing multi-container applications
Introduction to Docker and containerization
00:00Installing Docker
00:00Docker containers vs. virtual machines
00:00Building and running Node.js applications in Docker containers
00:00Docker Compose for managing multi-container applications
00:00
Module 4: Service Discovery and Load Balancing * Importance of service discovery in microservices
* Overview of DNS-based service discovery
* Using tools like Consul, etcd, or Zookeeper for service discovery
* Implementing load balancing with Nginx or HAProxy
* Dynamic service registration and discovery with Kubernetes
Importance of service discovery in microservices:
00:00Overview of DNS-based service discovery:
00:00Using tools like Consul, etcd, or Zookeeper for service discovery:
00:00Implementing load balancing with Nginx or HAProxy:
00:00Dynamic service registration and discovery with Kubernetes:
00:00
Module 5: Communication between Microservices: * Communication patterns in microservices (synchronous vs. asynchronous)
* Overview of REST, gRPC, and message queues (e.g., RabbitMQ, Kafka)
* Implementing communication between microservices with REST and gRPC
* Using message queues for asynchronous communication
Communication patterns in microservices (synchronous vs. asynchronous)
00:00Overview of REST, gRPC, and message queues (e.g., RabbitMQ, Kafka)
00:00Implementing communication between microservices with REST and gRPC
00:00Using message queues for asynchronous communication:
00:00
Module 6: Data Management in Microservices * Data storage options in microservices (relational vs. NoSQL databases)
* Overview of database-per-service vs. shared-database approaches
* Implementing data access with MongoDB, PostgreSQL, or other databases
* Strategies for data consistency and eventual consistency
Data storage options in microservices (relational vs. NoSQL databases)
00:00Overview of database-per-service vs. shared-database approaches:
00:00Implementing data access with MongoDB, PostgreSQL, or other databases
00:00Strategies for data consistency and eventual consistency
00:00
Module 7: Authentication and Authorization * Importance of security in microservices
* Implementing authentication and authorization with JWT (JSON Web Tokens)
* Centralized vs. decentralized authentication
* Using OAuth 2.0 for third-party authentication
* Best practices for securing microservices
Importance of security in microservices
00:00Implementing authentication and authorization with JWT (JSON Web Tokens)
00:00Centralized vs. decentralized authentication
00:00Using OAuth 2.0 for third-party authentication
00:00Best practices for securing microservices
00:00
Module 8: Testing and Deployment * Testing strategies for microservices (unit tests, integration tests, end-to-end tests)
* Containerized testing with Docker
* Continuous Integration and Continuous Deployment (CI/CD) pipelines
* Deploying microservices to cloud platforms (AWS, Azure, Google Cloud)
* Monitoring and logging microservices in production
Testing strategies for microservices (unit tests, integration tests, end-to-end tests)
00:00Containerized testing with Docker
00:00Continuous Integration and Continuous Deployment (CI/CD) pipelines
00:00Deploying microservices to cloud platforms (AWS, Azure, Google Cloud)
00:00Monitoring and logging microservices in production
00:00
Module 9: Scalability and Resilience * Designing for scalability and resilience in microservices
* Load testing and performance tuning
* Circuit breakers and retry strategies
* Implementing fault tolerance with resilience patterns (circuit breaker, retry, fallback)
Designing for scalability and resilience in microservices
00:00Load testing and performance tuning
00:00Circuit breakers and retry strategies
00:00Implementing fault tolerance with resilience patterns (circuit breaker, retry, fallback)
00:00
Module 10: Microservices Best Practices and Case Studies * Best practices for designing and implementing microservices
* Common pitfalls and anti-patterns to avoid
* Case studies of successful microservices architectures
* Future trends and advancements in microservices
Best practices for designing and implementing microservices
00:00Common pitfalls and anti-patterns to avoid
00:00Case studies of successful microservices architectures
00:00Future trends and advancements in microservices
00:00
Conclusion * Recap of key concepts learned throughout the course
* Resources for further learning and exploration
* Final project or assessment to demonstrate understanding
This layout provides a structured approach to learning Node.js microservices, covering essential concepts, tools, and best practices for building scalable and resilient distributed systems. Adjustments can be made based on the target audience's existing knowledge and learning objectives.
Recap of key concepts learned throughout the course
00:00Resources for further learning and exploration
00:00Final project or assessment to demonstrate understanding
00:00
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