Deploy an Application you own this product

prerequisites
basic Git commands • basic shell commands • basic installation of tools
skills learned
Kubernetes Pods basics • extend to deployment • make your application accessible outside of a cluster • manage CPU and memory resources • horizontal pod autoscaling
Sunil Jacob
1 week · 2-4 hours per week · BEGINNER

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team

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Look inside

The success of BuildYourHome, an e-commerce company, is soaring, but so is the cost of managing its newly containerized system. As a DevOps engineer, you’ll solve this problem by setting up Kubernetes, a widely used container orchestration system, to run the e-commerce application’s Docker containers. You’ll create a pod for deployment, build a deployment manifest file to provide important instructions to Kubernetes, provide customer access to the application, and take steps to manage CPU and memory resources for your application pods, improving cost and efficiency. When you’re finished, you’ll have valuable hands-on experience deploying applications on Kubernetes that will help prepare you for a career in DevOps.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Sunil Jacob

Sunil Jacob is a principal architect in the DevOps area at an e-commerce company. He has gained experience with Docker, Kubernetes, and Google Cloud Platform, and implements DevSecOps practices using Policy as Code with Open Policy Agent, giving high importance to security. Well-versed in CI/CD platforms like GitHub Actions and GitLab, Sunil is a certified Professional Cloud Architect and Certified Kubernetes Administrator.

prerequisites

This liveProject is for those interested in gaining practical experience and knowledge essential for taking on a DevOps role. To begin this liveProject, you’ll need to be familiar with the following:

TOOLS
  • Beginner-level kubectl
  • Beginner-level minikube
TECHNIQUES
  • Beginner-level Kubernetes YAML
  • Develop Kubernetes configuration files in YAML
  • Deploy Kubernetes clusters on local systems
  • Deploy applications on the Google Kubernetes Engine
  • Setup ReplicaSets, services, and deployments on Kubernetes
  • Manage CPU and memory resources for your app
  • Understand resource requests and limits

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