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GitOps Automations for Multiple EKS Environments

Creating and maintaining proper environments can boost your development velocity and reduce defects. This course teaches you how to create and maintain development, staging, and production environments using GitOps automation principles and tools.

Intermediate
1h 40m
(7)

Created by Craig Golightly

Last Updated Jun 02, 2025

Course Thumbnail
  • Course

GitOps Automations for Multiple EKS Environments

Creating and maintaining proper environments can boost your development velocity and reduce defects. This course teaches you how to create and maintain development, staging, and production environments using GitOps automation principles and tools.

Intermediate
1h 40m
(7)

Created by Craig Golightly

Last Updated Jun 02, 2025

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  • Cloud
What you'll learn

Creating and maintaining proper environments can boost your development velocity and reduce defects. In this course, GitOps Automations for Multiple EKS Environments, you’ll learn to create and maintain separate development, staging, and production EKS clusters using GitOps automation principles and tools. First, you’ll explore how automation can reduce the toil associated with environment management. Next, you’ll discover the workflow to take a feature from development to production and how to design each environment to support that process. Finally, you’ll learn how to deploy your development and production EKS clusters. When you’re finished with this course, you’ll have the skills and knowledge of GitOps automation needed to manage development, staging, and production EKS clusters for your containerized applications.

GitOps Automations for Multiple EKS Environments
Intermediate
1h 40m
(7)
Table of contents

About the author
Craig Golightly - Pluralsight course - GitOps Automations for Multiple EKS Environments
Craig Golightly
36 courses 4.5 author rating 1315 ratings

Craig is passionate about solving problems with the right tools. He has a bachelor's and master's degree in computer science with extensive experience in AWS, microservices, and artificial intelligence. Craig enjoys teaching and mentoring others so they can save time and accomplish their goals faster.

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