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Course Outline

Introduction to Microservices Architecture 

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

Configuring AWS Cloud9 for Microservices Development — Rapid setup

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

Developing Microservices with Docker

  • Fundamentals of Docker and containerisation
  • Constructing and validating Docker containers
  • Leveraging Docker Compose for multi-container stacks
  • Practical task: assembling a multi-container application locally

Event-Driven Architecture and Asynchronous Messaging

  • Core tenets of event-driven design and synchronous versus asynchronous interactions
  • Amazon SQS for queue-based messaging
  • Amazon SNS for publish-subscribe models
  • Amazon EventBridge for event routing and dispatch
  • Overview of Kafka and Amazon MSK as high-volume streaming alternatives — Optional, overview only
  • Practical task: establishing asynchronous communication between two services via SQS and SNS, followed by EventBridge routing

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

  • Initialising Amazon ECS for container orchestration
  • Deploying microservices via AWS Lambda
  • Introduction to Kubernetes and Amazon EKS as an alternative orchestration platform — Overview only, compared with ECS
  • Service discovery mechanisms in microservices
  • Scaling microservices within AWS
  • Practical task: deploying on ECS and evaluating against an EKS configuration

API Management with AWS API Gateway

  • Creating and maintaining RESTful APIs
  • Linking APIs to microservices
  • API versioning and rate limiting
  • Practical task: exposing microservices through an API Gateway with version control

Observability, Monitoring, Logging, and Distributed Tracing

  • Utilising AWS CloudWatch for monitoring
  • Configuring logging via Amazon CloudWatch Logs
  • Setting up alerts and notifications
  • Concepts in distributed tracing
  • Request tracing with AWS X-Ray
  • Vendor-agnostic instrumentation with OpenTelemetry
  • Practical task: instrumenting microservices with X-Ray and OpenTelemetry to trace requests across services

CI/CD and Infrastructure as Code 

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

Security Best Practices for Microservices

  • Configuring IAM roles and policies
  • Enhancing microservices security via API Gateway
  • Encrypting data during transit and at rest

Requirements

Participants are expected to possess the following:

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

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  • Format: Online (live), In-company (at your offices), or Hybrid.
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