DevOps Engineering on AWS
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DevOps Engineering on AWS

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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.

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Overview

Applying DevOps cultural ideas, practices, and technologies to speed up the development, delivery, and maintenance of apps and services on AWS is made easy with the help of the DevOps Engineering on AWS course. Continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring, and teamwork are some of the fundamental DevOps principles that are covered in this course.
Building and implementing AWS CloudFormation templates and CI/CD pipelines to manage applications on Amazon EC2, serverless platforms, and containers will be taught to you through practical experiments. Along with exercises on multi-pipeline workflows and deploying to different environments, the course equips you with the practical knowledge you need to apply DevOps in authentic AWS scenarios. Additionally, you will learn how to write, run, and debug code using AWS Cloud9 and comprehend the functions and duties of independent DevOps teams. 

Key Features

  • Continuous Integration & Delivery
  • DevOps Best Practices
  • Infrastructure as Code
  • Microservices & Containerization

Curriculum

Study Plan

1Module 1: Course overview
  • Course objective
  • Suggested prerequisites
  • Course overview breakdown
2Module 2: Introduction to DevOps
  • What is DevOps? 
  • The Amazon journey to DevOps 
  • Foundations for DevOps 
3Module 3: 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
4Module 4: 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
5Module 5: 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 
6Module 6: Continuous integration and continuous delivery (CI/CD) with development tools
  • AWS CodePipeline
  • Demonstration: AWS integration with Jenkins 
7Module 7: Introduction to Microservices
  • Introduction to Microservices
8Module 8: 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 
9Module 9: 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 
10Module 10: Deployment strategies
  • Continuous Deployment
  • Deployments with AWS Services
11Module 11: Automated testing
  • Introduction to testing 
  • Tests: Unit, integration, fault tolerance, load, and synthetic
  • Product and service integrations

About Instructor

  • 3000+ Learner Trained
  • 42+ Corporate Recruiting Partners & 20+ College Partners
  • 1000+ Review
  • 200+ Classes/Month
  • aws solution architect certified
  • 3000+ Learner Trained
  • 42+ Corporate Recruiting Partners & 20+ College Partners
  • 1000+ Review
  • 200+ Classes/Month
  • aws solution architect certified
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