In this course, you will learn to: 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.
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Description
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.
Prerequisites
This course is intended for:
System administrators
Software developers
DevOps engineers
DevOps architects
Operations engineers
We recommend that attendees of this course have the following prerequisites:
Previous attendance at the Systems Operations on AWS or Developing on AWS courses
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 Two or more years of experience provisioning, operating, and managing AWS environments
Audience
This class is for individuals interested in developing in the AWS environment. Specifically this class is for individuals interested in tasks such as using the Eclipse IDE; installing, configuring and performing AWS operations using AWS SDK; configuring Amazon Relational Database Service and using it in your application backend; deploy web applications using Amazon Elastic Beanstalk; and integrating AWS services in a web application.