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Devops engineering on AWS

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DevOps Engineering on AWS teaches professionals how to use the blend of DevOps cultural philosophies, practices, & tools to enhance your organization’s ability to develop, deliver, & maintain applications & services at high speed on AWS. This course covers Continuous Integration (CI), infrastructure as code, microservices, Continuous Delivery (CD), monitoring & logging, & communication and collaboration.

Hands-on labs give professionals experience building & deploying AWS CloudFormation templates & CI/CD pipelines that build & deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, & container-based applications. Labs for multi-pipeline workflows & pipelines that deploy to multiple environments are also included.

Duration:  3 Days


Learning Objectives: 


In this course, professionals will-

  • Use DevOps best practices to develop, deliver, & maintain applications and services at high speed on AWS.
  • List the advantages, roles & responsibilities of small autonomous DevOps teams.
  • Design & implement an infrastructure on AWS that supports DevOps development projects
  • Leverage AWS Cloud9 to write, run & debug your code
  • Deploy various environments with AWS CloudFormation
  • Host secure, highly scalable, & private Git repositories with AWS CodeCommit
  • Integrate Git repositories into CI/CD pipelines
  • Automate build, test, & packaging code with AWS CodeBuild
  • Securely store & leverage Docker images & combine them into your CI/CD pipelines
  • Create CI/CD pipelines to deploy applications on Amazon EC2, serverless applications, & container-based applications
  • Implement common deployment tactics such as “all at once,” “rolling,” & “blue/green.”
  • Integrate testing & security into CI/CD pipelines
  • Monitor applications & environments using AWS tools and technologies

Intended Audience


This course is intended for-

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

We recommend that attendees of this course have-

  • Preceding attendance at the Systems Operations on AWS or Developing on AWS courses
  • Working experience in one or more high-level programming languages, such as Java, C#, PHP, Python, and Ruby.
  • Intermediate understanding of administering Linux or Windows systems at the command-line level
  • Two or more years of experience operating, provisioning, & managing AWS environments.

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, & 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 & AWS CDK
  • Hands-on lab- Using AWS CloudFormation to provision & manage a basic infrastructure

Module 4- Continuous integration & continuous delivery (CI/CD) with development tools


  • CI/CD Pipeline & Dev Tools
  • Demonstration- CI/CD pipeline displaying some actions from AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy & AWS CodePipeline
  • Hands-on lab- Deploying an application to an EC2 fleet using AWS CodeDeploy

Day 2


Module 5- Introduction to Microservices


  • Introduction to Microservices

Module 6- DevOps & Containers


  • Deploying applications with Docker
  • Amazon Elastic Container Service & AWS Fargate
  • Amazon Elastic Container Registry & Amazon Elastic Kubernetes service
  • Demonstration- CI/CD pipeline deployment in a containerized application

Module 7- DevOps & serverless computing


  • AWS Lambda & AWS Fargate
  • AWS Serverless Application Repository & AWS SAM
  • AWS Step Functions
  • Demonstration- AWS Lambda & Characteristics
  • Demonstration- AWS SAM quick start in AWS Cloud9
  • Hands-on lab- Deploying a serverless application using AWS Serverless Application Model (AWS SAM) & 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, & synthetic
  • Product & 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, & Amazon Inspector

Module 11- Configuration management


  • Introduction to the configuration management process
  • AWS services & tooling for configuration management
  • Hands-on lab- Performing blue/green deployments with CI/CD pipelines & 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 automation

Module 13- Reference architecture (Optional module)


  • Reference architectures

Module 14- Course Summary


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

Q: What is AWS database management?


A: AWS fully managed database services provide continuous monitoring, self-healing storage, and automated scaling to help you focus on application development. Achieve performance at scale.


Q: What is AWS data lake?


 A: A data lake is a centralized and secured repository that stores all your data, both in its original form and prepared for analysis.


 Q: What are the various methods off data storage in AWS?


 A: There are three methods of data storages namely: –

  • Object storage
  • File storage
  • Block storage

Q: What is the use of ec2 instance?


 A: EC2 is a service that enables business clients to run application programs in the computing environment.


Q: What is the role of AWS security?


 A: AWS security provides the opportunities to protect the data, check out security-related activity and receive automated responses.


Q: Why one should prefer Radiant Techlearning ?


A: Radiant believes in practical and creative approach to training and development which distinguishes it from the other training and developmental platforms. Moreover training courses are undertaken by some of the experts who are having vast range of experience in their domain.


Q: What if I/we have doubts after attending your training program?


 A: Radiant team of experts would be available on the e-mail support@radianttechlearning.com to answer your technical queries even after the training program.


 Q: Does this training program include any project?


 A: Yes, Radiant will provide you most updated high value and relevant real time projects and case studies in each training program.


Q: If I face technical difficulty during the session then is there any remedy for that?


 A: Technical issues are unpredictable and might occur with us as well.   Participants have to ensure that they have access to the required configuration with good internet speed.


Q: What is schedule of training program?


A: Radiant Techlearning offers training programs on weekday, weekend and combination of weekday and weekend.  We provide you complete liberty to choose the schedule that suits to your need.