DevOps Engineering on AWS

Course ID: AWSDE
Duration: 3 Days
Training Fee: HK$18,000
Private in-house training
Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.

Why Choose Us?

  • The First Authorised Training Partner of AWS with full license
  • The Most Training Schedules delivered by AWS Authorized Instructors (AAI) and AAI Champion
  • Best Price Guaranteed
  • Trained over 50,000 talents in Asia
  • High Passing Rate: 90%
  • Appointed Exam Centre
Course 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
Prerequisites

We recommend that attendees of this course have:

  • Previous attendance at the Systems 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
Intended Audience

This course is intended for:

  • DevOps engineers
  • DevOps architects
  • Operations engineers
  • System administrators
  • Developers
Delivery Method

This course will be delivered through a mix of:

  • Instructor-Led Training (ILT)
  • Hands-on Labs
  • Demonstrations
  • Group exercises
Course Outline

This course will cover the following concepts:

Day 1

Module 0: Course overview

  • Course objective
  • Suggested prerequisites
  • Course overview breakdown

 

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
  • Demonstration: AWS CLI and AWS CDK
  • Hands-on lab: Using AWS CloudFormation to provision and manage a basic infrastructure

 

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

 

Day 2

Module 4: Continuous integration and continuous delivery (CI/CD) with development tools (continued)

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

 

Module 5: Introduction to Microservices

  • 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
  • Demonstration: CI/CD pipeline deployment in a containerized application

 

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

 

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

 

Day 3

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

 

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)

 

Module 12: Observability

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

 

Module 13: Reference architecture (Optional module)

  • Reference architectures

 

Module 14: Course summary

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

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