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Working With AWS Developer Services for CI/CD - Learning path Summary

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Summary

The course is part of this learning path

AWS Developer Services for CI/CD
course-steps
9
certification
1
lab-steps
3
CI/CD Learning path Summary
Overview
Difficulty
Beginner
Duration
2m
Students
453
Ratings
5/5
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Description

In this course we’ll provide a quick review and highlight key points presented within the AWS Developer Services CI/CD Learning Path.

Transcript

- [Instructor] Welcome back, before we finish, let's do a quick review of what we've learnt. We gained an understanding of the Principles of Continuous Integration and Continuous Delivery, and how CICD can be effectively used within your own software projects. We gained an understanding of the benefits of using the AWS developer based services to set up and engineer CICD workflows. We gained an understanding of the benefits of using the following AWS services: CodeCommit as a source control service, CodeBuild as a continuous build service, CodeDeploy as a continuous deployment service, CodePipeline as a continuous delivery service, and Cloud9 as a web-based IDE for developing code. We gained an understanding of how to use AWS CodeStar to quickly and seamlessly provision complete CICD environments. Finally, we put our learnt CICD knowledge into action by building a web-based portal application, building and deploying it through the use of a CICD pipeline. Using each of the individual AWS developer services, the outcome of which was a web-based portal app running on a publicly-accessible EC2 instance. Thank you for your participation. We do hope you have enjoyed this course on AWS developer services, please feel free to contact us at support@cloudacademy.com if you have any questions and/or comments.

About the Author
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Jeremy Cook
Content Lead Architect
Students
59224
Labs
44
Courses
104
Learning Paths
47

Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, GCP, Azure), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, GCP, and Kubernetes.