Listing Thumbnail

    DevOps Engineering on AWS - 3 Days - AWS Authorised Instructor Led

     Info
    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 level: Intermediate  Duration: 3 days

    Overview

    Accelerate Your DevOps Career with AWS! Master high-velocity development using AWS CodeCommit, CodeBuild, CloudFormation & CI/CD pipelines. Learn to deploy serverless, container & EC2 apps, implement blue/green deployments, and automate security & testing—all on AWS.

    Activities

    This course includes presentations, group exercises, and hands-on labs.

    Course objectives

    In this course, you will:

    • 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 Intended audience

    This course is intended for: • DevOps engineers DevOps architects • Operations engineers • System administrators • Developers Prerequisites

    We recommend that attendees of this course have: • Previous attendance at the Systems Operations on AWS or Developing on AWS course • 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 Day 1

    Module 0: Course overview

    • Course objective • Suggested prerequisites • Course overview breakdown Module 1: Introduction 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 • 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 Pipelin • 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 Module 13: Reference architecture (Optional module) For detailed Information https://aws.amazon.com/training/classroom/devops-engineering-on-aws/ 

    Highlights

    • End-to-End DevOps Automation on AWS Learn to design and implement fully automated CI/CD pipelines using AWS services like CodeCommit, CodeBuild, and CodePipeline to deploy applications across EC2, containers, and serverless environments.
    • Modern Infrastructure and Deployment Strategies Gain hands-on experience using AWS CloudFormation and Docker to build scalable, secure infrastructure and implement deployment strategies such as blue/green and rolling updates.
    • DevOps Best Practices with Integrated Security and Monitoring Apply DevOps principles through small, autonomous teams while integrating testing, security, and observability into your delivery pipelines using AWS-native tools like Cloud9, X-Ray, and CloudWatch.

    Details

    Categories

    Delivery method

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support