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. This course may earn a Credly Badge.

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* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning 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

1

  • Module 0- Course overview

  • Course objective
    Suggested prerequisites
    Course overview breakdown
2

  • Module 1- Introduction to DevOps

  • What is DevOps?
    The Amazon journey to DevOps
    Foundations for DevOps
3

  • 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
4

  • 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
5

  • 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
    AWS CodePipeline
    Demonstration- AWS integration with Jenkins
    Hands-on lab- Automating code deployments using AWS CodePipeline
6

  • Module 5- Introduction to Microservices

  • Introduction to Microservices
7

  • 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
8

  • 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
9

  • Module 8- Deployment strategies

  • Continuous Deployment
    Deployments with AWS Services
10

  • Module 9- Automated testing

  • Introduction to testing
    Tests- Unit, integration, fault tolerance, load, and synthetic
    Product and service integrations
11

  • 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
12

  • 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)
13

  • Module 12- Observability

  • Introduction to observability
    AWS tools to assist with observability
    Hands-on lab- Using AWS DevOps tools for CI/CD pipeline automations
14

  • Module 13- Reference architecture (Optional module)

  • Reference architectures
15

  • Module 14- Course summary

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

Audience

This course is intended for DevOps engineers, DevOps architects, Operations engineers, System administrators, and Developers.

Language

English

Prerequisites

We recommend that attendees of this course have the following prerequisites: Previous attendance at the System Operations on AWS or Developing on AWS courses Working knowledge of one or more high-level programming 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

$2,025

Length: 3.0 days (24 hours)

Level:

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18
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09
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