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 Duration 21 hours

Course Outline

Introduction to Microservices Architecture 

  • Defining microservices
  • Advantages and complexities of microservices design
  • Contrasting microservices with monolithic architectures

Setting Up AWS Cloud9 for Microservices Development — Quick setup

  • Provisioning an AWS Cloud9 environment
  • Configuring the development workspace
  • Establishing connections between AWS services and Cloud9

Building Microservices with Docker

  • Overview of Docker and containerization
  • Constructing and validating Docker containers
  • Leveraging Docker Compose for multi-container stacks
  • Practical exercise: developing a multi-container application locally

Event Driven Architecture and Asynchronous Messaging

  • Core tenets of event-driven design and synchronous vs. asynchronous communication
  • Utilizing Amazon SQS for queue-based messaging
  • Employing Amazon SNS for publish-subscribe patterns
  • Using Amazon EventBridge for event routing and dispatch
  • Introduction to Kafka and Amazon MSK for high-volume streaming — Overview only, optional
  • Practical exercise: implementing asynchronous service-to-service communication via SQS and SNS, then expanding with EventBridge routing

Deploying Microservices on AWS (ECS, Lambda and EKS)

  • Configuring Amazon ECS for container orchestration
  • Implementing microservices using AWS Lambda
  • Overview of Kubernetes and Amazon EKS as an alternative orchestration platform — Comparative analysis with ECS
  • Service discovery mechanisms in distributed systems
  • Scaling strategies for microservices on AWS
  • Practical exercise: deploying workloads on ECS and benchmarking against an EKS configuration

Managing APIs with AWS API Gateway

  • Designing and governing RESTful APIs
  • Integrating APIs with microservice backends
  • API versioning control and throttling policies
  • Practical exercise: exposing microservices via API Gateway with version management

Observability, Monitoring, Logging and Distributed Tracing

  • Leveraging AWS CloudWatch for system monitoring
  • Configuring logging via Amazon CloudWatch Logs
  • Establishing alerts and notification workflows
  • Foundations of distributed tracing
  • Request tracing with AWS X-Ray
  • Vendor-agnostic instrumentation using OpenTelemetry
  • Practical exercise: instrumenting microservices with X-Ray and OpenTelemetry to trace requests across service boundaries

CI/CD and Infrastructure as Code 

  • CI/CD pipeline structures tailored for microservices
  • Introduction to Terraform for automated infrastructure provisioning

Microservices Security Best Practices

  • Implementing IAM roles and permission policies
  • Hardening microservices through API Gateway security features
  • Data encryption strategies for in-transit and at-rest scenarios

Requirements

Candidates are expected to possess the following foundations:

  • Familiarity with Python at a basic to intermediate level
  • A fundamental grasp of REST APIs, HTTP protocols, and web application concepts.
  • Working knowledge of Linux command-line utilities and Git.
  • A basic understanding of Docker and containerization concepts is advantageous, though not required.
  • General awareness of cloud computing principles and AWS services is beneficial

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