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 Duration 21 hours

Course Outline

Introduction to Microservices Architecture 

  • Definition of microservices
  • Advantages and obstacles of microservices
  • Contrast with monolithic designs

Configuring AWS Cloud9 for Microservices Development — Rapid setup

  • Establishing an AWS Cloud9 workspace
  • Setting up the development workspace
  • Linking AWS services to Cloud9

Creating Microservices using Docker

  • Overview of Docker and containerization
  • Constructing and testing Docker containers
  • Utilizing Docker Compose for multi-container apps
  • Practical exercise: building a multi-container app locally

Event-Driven Architecture and Asynchronous Messaging

  • Core tenets of event-driven architecture and synchronous vs asynchronous communication
  • Amazon SQS for queue-based messaging
  • Amazon SNS for publish-subscribe messaging
  • Amazon EventBridge for event routing and distribution
  • Kafka and Amazon MSK as an alternative for high-volume streaming — Overview only, optional
  • Practical exercise: implementing asynchronous communication between two services using SQS and SNS, then expanding with EventBridge routing

Deploying Microservices on AWS (ECS, Lambda and EKS)

  • Configuring Amazon ECS for container orchestration
  • Launching microservices with AWS Lambda
  • Introduction to Kubernetes and Amazon EKS as an alternative orchestration choice — Overview only, comparative with ECS
  • Service discovery in microservices architecture
  • Scaling microservices in AWS
  • Practical exercise: deploying on ECS and comparing with an EKS setup

Managing APIs with AWS API Gateway

  • Developing and managing RESTful APIs
  • Linking APIs to microservices
  • API versioning and throttling
  • Practical exercise: exposing microservices through an API Gateway with versioning

Observability, Monitoring, Logging and Distributed Tracing

  • Utilizing AWS CloudWatch for monitoring
  • Configuring logging with Amazon CloudWatch Logs
  • Setting up alarms and notifications
  • Concepts of distributed tracing
  • AWS X-Ray for request tracing
  • OpenTelemetry for vendor-neutral instrumentation
  • Practical exercise: instrumenting microservices with X-Ray and OpenTelemetry and tracing a request across services

CI/CD and Infrastructure as Code 

  • CI/CD pipeline concepts for microservices
  • Overview of Terraform for infrastructure provisioning

Microservices Security Best Practices

  • Implementing IAM roles and policies
  • Securing microservices with API Gateway
  • Encrypting data in transit and at rest

Requirements

Learners are expected to possess:

  • Fundamental to intermediate proficiency in Python
  • A foundational grasp of REST APIs, HTTP and web application principles.
  • Basic familiarity with Linux command-line utilities and Git.
  • A basic understanding of Docker and containerisation principles is advised, though not required.
  • Basic knowledge of cloud computing principles and AWS services is beneficial

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