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 Duration 21 hours

Course Outline

Foundations of Microservices Architecture

  • Defining microservices
  • Advantages and complexities of microservices adoption
  • Contrast with monolithic architectures

Configuring AWS Cloud9 for Microservices Development — Rapid Setup

  • Provisioning an AWS Cloud9 environment
  • Setting up the development workspace
  • Integrating AWS services with Cloud9

Developing Microservices with Docker

  • Overview of Docker and containerization
  • Building and validating Docker containers
  • Leveraging Docker Compose for multi-container applications
  • Practical session: Constructing a multi-container application locally

Event-Driven Architecture and Asynchronous Messaging

  • Core principles of event-driven architecture and synchronous vs. asynchronous communication
  • Queue-based messaging with Amazon SQS
  • Publish-subscribe messaging with Amazon SNS
  • Event routing and dispatch via Amazon EventBridge
  • Kafka and Amazon MSK as alternatives for high-volume streaming — Introduction only, optional module
  • Practical session: Establishing asynchronous communication between two services using SQS and SNS, followed by EventBridge routing

Deploying Microservices on AWS (ECS, Lambda, and EKS)

  • Configuring Amazon ECS for container orchestration
  • Deploying microservices via AWS Lambda
  • Introduction to Kubernetes and Amazon EKS as an alternative orchestration platform — Introduction only, comparison with ECS
  • Service discovery within microservices architectures
  • Scaling microservices in the AWS environment
  • Practical session: Deploying to ECS and comparing with an EKS configuration

API Management with AWS API Gateway

  • Creation and administration of RESTful APIs
  • Linking APIs to microservices
  • API versioning and throttling mechanisms
  • Practical session: Exposing microservices via API Gateway with version control

Observability, Monitoring, Logging, and Distributed Tracing

  • Monitoring capabilities with AWS CloudWatch
  • Configuring logging with Amazon CloudWatch Logs
  • Establishing alarms and notification systems
  • Concepts of distributed tracing
  • Request tracing using AWS X-Ray
  • Vendor-agnostic instrumentation with OpenTelemetry
  • Practical session: Instrumenting microservices with X-Ray and OpenTelemetry to trace requests across services

CI/CD and Infrastructure as Code

  • CI/CD pipeline strategies for microservices
  • Introduction to Terraform for infrastructure provisioning

Security Best Practices for Microservices

  • Implementing IAM roles and policies
  • Hardening microservices via API Gateway
  • Data encryption in transit and at rest

Requirements

Learners are expected to have the following background:

  • Foundational to intermediate proficiency in Python
  • A basic grasp of REST APIs, HTTP protocols, and web application fundamentals
  • Basic knowledge of Linux command-line utilities and Git
  • Basic awareness of Docker and containerization principles is advised, though not a strict requirement
  • Basic familiarity with cloud computing paradigms and AWS services is beneficial

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