DevOps Engineering on AWS

Accelerate Innovation

Accelerate Innovation

Master DevOps on AWS!

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

This course covers Continuous Integration (CI), Continuous Delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration.

Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.

Key Facts

Course Level

Intermediate

Duration

3 days

Intended audience

  • DevOps engineers
  • DevOps architects
  • Operations engineers
  • System administrators
  • Developers

Prerequisites

  • Previous attendance at the Systems Operations on AWS or Developing on AWS courses
  • Working knowledge of one or more high-level programing languages, such as C#, Java, PHP, Ruby, Python
  • Intermediate knowledge of administering Linux or Windows systems at the command-line level
  • Two or more years of experience provisioning, operating, and managing AWS environments

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Detailed Course Outline

Course Objectives
  • Use DevOps best practices to develop, deliver, and maintain applications and services at high velocity on AWS
  • List the advantages, roles and responsibilities of small autonomous DevOps teams
  • Design and implement an infrastructure on AWS that supports DevOps development projects
  • Leverage AWS Cloud9 to write, run and debug your code
  • Deploy various environments with AWS CloudFormation
  • Host secure, highly scalable, and private Git repositories with AWS CodeCommit
  • Integrate Git repositories into CI/CD pipelines
This course includes presentations, group exercises, and hands-on labs.

Day 1

Modul 0: Course overview

  • Course objective
  • Suggested prerequisites
  • Course overview breakdown

Modul 1: Introduction to DevOps

  • What is DevOps?
  • The Amazon journey to DevOps
  • Foundations for DevOps

Modul 2: Infrastructure Automation

  • Introduction to Infrastructure Automation
  • Diving into the AWS CloudFormation template
  • Modifying an AWS CloudFormation template
  • Demonstration: AWS CloudFormation template structure, parameters, stacks, updates, importing resources, and drift detection

Modul 3: AWS Toolkits

  • Configuring the AWS CLI
  • AWS Software Development Kits (AWS SDKs)
  • AWS SAM CLI
  • AWS Cloud Development Kit (AWS CDK)
  • AWS Cloud9
  • Demonstration: AWS CLI and AWS CDK
  • Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure

Modul 4: Continuous integration and continuous delivery (CI/CD) with development tools

  • CI/CD Pipeline and Dev Tools
  • Demonstration: CI/CD pipeline displaying some actions from AWS CodeCommit, AWS
  • CodeBuild, AWS CodeDeploy and AWS CodePipeline
  • Hands-on lab: Deploying an application to an EC2 fleet using AWS CodeDeploy

Day 2

Modul 4: Continuous integration and continuous delivery (CI/CD) with development tools

  • AWS CodePipeline
  • Demonstration: AWS integration with Jenkins
  • Hands-on lab: Automating code deployments using AWS CodePipeline

Modul 5: Introduction to Microservices

  • Introduction to Microservices

Modul 6: DevOps and containers

  • Deploying applications with Docker
  • Amazon Elastic Container Service and AWS Fargate
  • Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
  • Demonstration: CI/CD pipeline deployment in a containerized application

Modul 7: AWS Lambda and AWS Fargate

  • AWS Serverless Application Repository and AWS SAM
  • AWS Step Functions
  • Demonstration: AWS Lambda and characteristics
  • Demonstration: AWS SAM quick start in AWS Cloud9
  • Hands-on lab: Deploying a serverless application using AWS Serverless Application Model
  • (AWS SAM) and a CI/CD Pipeline

Modul 8: Deployment strategies

  • Continuous Deployment
  • Deployments with AWS Services

Modul 9: Automated testing

  • Tests: Unit, integration, fault tolerance, load, and synthetic
  • Product and service integrations

Day 3

Modul 10: Security automation

  • Introduction to DevSecOps
  • Security of the Pipeline
  • Security in the Pipeline
  • Threat Detection Tools
  • Demonstration: AWS Security Hub, Amazon

Modul 11: Configuration management

  • Introduction to the configuration management process
  • AWS services and tooling for configuration management
  • Hands-on lab: Performing blue/green deployments with CI/CD pipelines and Amazon Elastic Container Service (Amazon ECS)

Modul 12: Observability

  • Introduction to observability
  • AWS tools to assist with observability
  • Hands-on lab: Using AWS DevOps tools for CI/CD pipeline automations

Modul 13: Reference architecture (Optional module)

  • Reference architectures

Modul 14: Course summary

  • Components of DevOps practice
  • CI/CD pipeline review
  • AWS Certification

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DevOps Engineering on AWS

  • Master CI/CD
    Build robust pipelines for faster, automated deployments
  • Automate everything
    Infrastructure as code, microservices & container orchestration
  • Enhance monitoring & logging
    Gain deep visibility into your AWS environment
  • Hands-on labs
    Work with AWS CloudFormation, EC2, serverless, and multi-environment workflows

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