DevOps Engineering on AWS
DevOps Engineering on AWS teaches learners how to use the combination of tools, practices, and cultural philosophy of DevOps to improve an organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course update increases the focus on Continuous Integration (CI), Continuous Delivery (CD), microservices, infrastructure as code, monitoring, and logging, and additional core principles of DevOps.
Training at a glance
Level
Intermediate
Duration
3 Days
Experience
3 years: IT & Programming
Average Salary
$125,908
Labs
Yes
Level
Intermediate
Duration
3 Days
Experience
3 years: IT & Programming
Average Salary
$125,908
Labs
Yes
Training Details
In this course, you will learn how to:
- Use the principal concepts and practices behind the DevOps methodology
- Design and implement an infrastructure on AWS that supports one or more DevOps development projects
- Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
- Use AWS CodeCommit and AWS CodeBuild to understand the array of options for enabling a continuous integration (CI) environment on AWS
- Use AWS CodePipeline to design and implement a continuous integration and continuous delivery (CI/CD) pipeline on AWS
- Use AWS CodeStar to manage all software development activities in one place
- Implement several common continuous deployment (CD) use cases using AWS technologies, including blue/green deployment and A/B testing
- Distinguish between the array of application deployment technologies available on AWS, including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon Elastic Container Service (Amazon ECS), and Amazon Elastic Container Registry (Amazon ECR), and decide which technology best fits a given scenario
- Use Amazon EC2 Systems Manager for patch management
- Leverage automated testing in different stages of a CI/CD pipeline
- 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
Module 2: Infrastructure Automation
Module 3: AWS Toolsets
Module 4: CI/CD with Development Tools
Module 5: Introduction to Microservices
Module 6: DevOps and Containers
Module 7: DevOps and Serverless Computing
Module 8: Deployment Strategies
Module 9: Automated Testing
Module 10: Security Automation
Module 11: Configuration Management
Module 12: Observability
Module 13: Reference Architectures (Optional)
This course is intended for:
- Developers
- DevOps Engineers
- SysOps Engineers
- DevOps Architects
- System administrators
We recommend that attendees of this course have the following prerequisites:
- Systems Operations on AWS or Developing on AWS
- Working knowledge of one or more high-level programming languages, such as C#, Java, PHP, Ruby, or Python
- 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)
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