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DevOps Engineering on AWS

Learn how to use the most common DevOps patterns to develop, deploy and maintain applications on AWS

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3 days
2195 (excl. VAT)

Description

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.

Who should attend This course is intended for: Software Developers and System Administrators

Certifications This course is part of the following Certifications: AWS Certified DevOps Engineer – Professional

Course Objectives This course is designed to teach you how to:

  • Design and implement an infrastructure on AWS that supports one or more DevOps development projects
  • Set up Git on AWS and understand the array of options for enabling a Continuous Integration environment on AWS Cloud
  • Use the core principles of Continuous Integration and Continuous Deployment
  • Distinguish between the array of application deployment technologies available on AWS Cloud (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, and Amazon EC2 Container Service), and decide which technology best fits a given scenario
  • Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues

This course is provided by and at the location of a partner of Info Support; any discount arrangement with Info Support does not apply here.

When you register with an Info Support Master Key Card, extra days will be charged. Contact Info Support for more information.

Prior Knowledge

  • 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)

Subjects

Day One

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 Managment (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

Day Two

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

Day Three

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

Schedule

All courses can also be conducted within your organization as customized or incompany training.

Our training advisors are happy to help you provide personal advice or find Incompany training within your organization.

Prior knowledge courses

"Very pleasant teacher, gave a very good interpretation of the course in their own way. It was nice to follow the course like that."
Marieke
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