DevOps Engineering on AWS
In this course, you will learn the most common DevOps patterns to develop, deploy, and maintain applications on the AWS platform. We will explore the core principles of the DevOps methodology and examine a number of use cases applicable to startup, small- to medium-sized business, and enterprise development scenarios.
Description
Overview
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 Cloud Formation 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.
Course Objectives
After completing this course, students will be able 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 Cloud Formation
- 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
Who Should Attend
This course is intended for:
- DevOps engineers
- DevOps architects
- Operations engineers
- System administrators
- Developers
Course Outline
This course includes presentations, group exercises, and hands-on labs
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
Module 4 - Continuous Integration and Continuous Delivery (CI/CD) with Development Tools
- CI/CD Pipeline and Dev Tools
- CodeBuild, AWS CodeDeploy and AWS CodePipeline
- AWS CodePipeline
Module 5 - 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
Module 7 - DevOps and Serverless Computing
- AWS Lambda and AWS Fargate
- AWS Serverless Application Repository and AWS SAM
- AWS Step Functions
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
Module 10 - Security Automation
- Introduction to DevSecOps
- Security of the Pipeline
- Security in the Pipeline
- Threat Detection Tools
Module 11 - Configuration Management
- Introduction to the configuration management process
- AWS services and tooling for configuration management
Module 12 - Observability
- Introduction to observability
- AWS tools to assist with observability
Module 13: Reference Architectures (Optional)
Prerequisites
We recommend that attendees of this course have:
- Previous attendance at the Cloud 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