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 Duration 21 hours

Course Outline

Foundations of Microservices Architecture 

  • Defining microservices
  • Advantages and potential pitfalls of microservices
  • Contrast with monolithic architectures

Configuring AWS Cloud9 for Microservices Development — Quick setup

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

Developing Microservices with Docker

  • Overview of Docker and containerization
  • Creating and validating Docker containers
  • Utilizing Docker Compose for multi-container setups
  • Practical exercise: developing a multi-container application 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 dispatch
  • Kafka and Amazon MSK as options for high-volume streaming — Brief overview, optional
  • Practical exercise: implementing asynchronous communication between two services using SQS and SNS, followed by extending with 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 method — Brief overview, comparative with ECS
  • Service discovery within microservices architectures
  • Scaling microservices on AWS
  • Practical exercise: deploying on ECS and comparing the setup with EKS

API Management via AWS API Gateway

  • Building and managing RESTful APIs
  • Connecting APIs to microservices
  • API versioning and rate limiting
  • Practical exercise: exposing microservices through API Gateway with versioning

Observability, Monitoring, Logging, and Distributed Tracing

  • Monitoring with AWS CloudWatch
  • Configuring logging via Amazon CloudWatch Logs
  • Setting up alarms and notifications
  • Concepts of distributed tracing
  • Request tracing with AWS X-Ray
  • Vendor-agnostic instrumentation using OpenTelemetry
  • Practical exercise: instrumenting microservices with X-Ray and OpenTelemetry and tracing a request across services

CI/CD and Infrastructure as Code 

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

Microservices Security Best Practices

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

Requirements

Learners are expected to have:

  • A foundational to intermediate grasp of Python
  • A basic understanding of REST APIs, HTTP, and web application principles.
  • Basic knowledge of Linux command-line utilities and Git.
  • A preliminary understanding of Docker and containerization concepts is advised, though not strictly required.
  • Familiarity with cloud computing concepts and AWS services is beneficial

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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