DevOps Engineering on AWS

Course code

DOE-AWS

Duration

3 Days, 24 Acad. Hours

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Course Overview

Objectives

Prerequisites

Course Outline

Course Overview

Course description

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.

Objectives

Course objectives

In this course, you will learn to:

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
Automate build, test, and packaging code with AWS CodeBuild
Securely store and leverage Docker images and integrate them into your CI/CD pipelines
Build CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, and container-based applications
Implement common deployment strategies such as “all at once,” “rolling,” and “blue/green”
Integrate testing and security into CI/CD pipelines
Monitor applications and environments using AWS tools and technologies

Prerequisites

Intended audience

This course is intended for:

DevOps engineers
DevOps architects
Operations engineers
System administrators
Developers

Prerequisites

We recommend that attendees of this course have:

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

Course Outline

Day One

Module 0: Course overview

Course objective
Suggested prerequisites
Course overview breakdown

Module 1: Introduction to DevOps

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

Module 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

Module 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

Module 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 Two

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

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

Module 5: Introduction to Microservices

Introduction to Microservices

Module 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

Module 7: DevOps and serverless computing

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

Module 8: Deployment strategies

Continuous Deployment
Deployments with AWS Services

Module 9: Automated testing

Introduction to testing
Tests: Unit, integration, fault tolerance, load, and synthetic
Product and service integrations

Day Three

Module 10: Security automation

Introduction to DevSecOps
Security of the Pipeline
Security in the Pipeline
Threat Detection Tools
Demonstration: AWS Security Hub, Amazon GuardDuty, AWS Config, and Amazon Inspector

Module 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)

Module 12: Observability

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

Module 13: Reference architecture (Optional module)

Reference architectures

Module 14: Course summary

Components of DevOps practice
CI/CD pipeline review
AWS Certification

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DevOps Engineering on AWS

Course code:

DOE-AWS

Duration:

3 Days, 24 Acad. Hours

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