DevOps Engineering on AWS
E-Learning
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.
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.
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
This course is intended for:
DevOps engineers
DevOps architects
Operations engineers
System administrators
Developers
| Lesson Id | Title | Description |
|---|---|---|
| 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 |
| 9 | Module 8: Deployment strategies |
Continuous Deployment Deployments with AWS Services |
| 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 |
| 10 | Module 9: Automated testing |
Introduction to testing Tests: Unit, integration, fault tolerance, load, and synthetic Product and service integrations |
| 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 |
| 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 |
Self-Paced
Free
This course includes: :
Full lifetime access