DevOps Engineering on AWS [AWSDEVOPS]

• We recommend that attendees of this course have:
• Attended Cloud Operations on AWS (formerly Systems Operations) (AWSSYS) or Developing on AWS (AWSD)
• Working knowledge of one or more high-level programming languages (C#, Java, PHP, Ruby, Python, etc.)
• Intermediate knowledge of administering Linux or Windows systems at the command-line level
• Working experience with AWS using both the AWS Management Console and the AWS Command Line Interface (AWS CLI)

DevOps Engineering on AWS demonstrates how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS. The course covers the core principles of the DevOps methodology and examines a number of use cases applicable to startup, small-medium business, and enterprise development scenarios.

Module 1: Introduction to DevOps

• DevOps overview
• The DevOps practice

Module 2: AWS Command Line Interface

• Install and configure
• Command line options
• Hands-on lab 1: Hands-on with AWS CLI

Module 3: Introduction to DevSecOps

• DevSecOps concepts and practices
• Planning Security in a DevOps Infrastructure
• Using AWS Identity and Access Management (IAM)
• Hands-on lab 2: Building and executing automated AWS IAM policy tests with AWS Config

Module 4: Deployment strategies and developer tools

• Deployment strategies
• AWS tools for deployment
• AWS developer tools for building a CI/CD pipeline

Module 5: Infrastructure as Code

• Concept of Infrastructure as Code and the benefits
• Core functionality of AWS CloudFormation
• Automated Infrastructure Management with AWS CloudFormation
• Hands-on lab 3: Hands-on with AWS Cloud Formation templates

Module 6: Deep Dive into Developer Tools

• Best practices, use cases and reference architecture review
• AWS Cloud 9
• Continuous integration with AWS CodeCommit
• Enabling continuous integration with AWS CodeBuild
• Continuous delivery and deployment with AWS CodeDeploy
• Deploying with AWS Elastic Beanstalk
• AWS CodePipeline
• AWS CodeStar
• Hands-on lab 4 - Creating a continuous delivery toolchain with AWS CodeStar

Module 7: Automated Testing on AWS

• AWS Automated Testing Tools
• AWS Performance Tuning
• Logging with AWS

Module 8: Configuration Management with AWS OpsWorks, Chef and Puppet

• AWS OpsWorks Stacks
• Puppet on AWS
• Comparing deployment tools
• Hands-on lab 5- Hands-On with AWS OpsWorks and Chef

Module 9: AMI Building and Amazon EC2 Systems Manager

• AWS Systems Manager

Module 10: Containers: Docker and ECS

• Deploying applications with Docker
• Amazon Elastic container service core concepts
• Secrets management
• Hands-on lab 6- Hands-on with Docker and Amazon ECS

Module 11: DevOps Customer Case Studies

• AWS case study: Coursera
• AWS case study: Instacart
• AWS case study: Toronto Star

Virtual Class