Course 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 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.
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
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?
- System Administrators
- Software Developers
- Anyone looking to become a DevOps practitioner
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Agenda
1 - Introduction to DevOps
- What is DevOps?
- The Amazon journey to DevOps
- Foundations for DevOps
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
3 - AWS Toolkits
- Configuring the AWS CLI
- AWS Software Development Kits (AWS SDKs)
- AWS SAM CLI
- AWS Cloud Development Kit (AWS CDK)
- AWS Cloud9
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
5 - Introduction to Microservices
6 - DevOps and containers
- Deploying applications with Docker
- Amazon Elastic Container Service and AWS Fargate
- Amazon Elastic Container Registry and Amazon Elastic Kubernetes service
7 - DevOps and serverless computing
- AWS Lambda and AWS Fargate
- AWS Serverless Application Repository and AWS SAM
- AWS Step Functions
8 - Deployment strategies
- Continuous Deployment
- Deployments with AWS Services
9 - Automated testing
- Introduction to testing
- Tests: Unit, integration, fault tolerance, load, and synthetic
- Product and service integrations
10 - Security automation
- Introduction to DevSecOps
- Security of the Pipeline
- Security in the Pipeline
- Threat Detection Tools
11 - Configuration management
- Introduction to the configuration management process
- AWS services and tooling for configuration management
12 - Observability
- Introduction to observability
- AWS tools to assist with observability