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Congratulations! By completing this lesson, you now have hands-on experience leveraging Google Cloud Platform to build and operate a full-fledged DevOps pipeline. We began with an overview of how DevOps practices integrate within modern organizations and then proceeded to implement a real-world application using these best practices:
  • Configured a GitHub repository with branch protections and organizational standards
  • Created Cloud Build triggers and defined CI pipelines for automated testing
  • Managed container images with Artifact Registry
  • Deployed workloads to Google Kubernetes Engine (GKE)
  • Implemented continuous delivery to push safe, reliable updates into production
Below is a quick reference table summarizing each step:
StepGCP ServicePurpose
1Cloud Source Repositories / GitHubCentralize code with branch protections
2Cloud BuildAutomate builds, tests, and static analysis
3Artifact RegistrySecurely store container images and artifacts
4Google Kubernetes Engine (GKE)Deploy, manage, and scale containerized workloads
5Continuous Delivery (e.g., Cloud Deploy)Safely promote releases through environments
Have questions or need extra help? Connect with fellow learners and DevOps experts in the KodeKloud Slack community.
Thank you for taking this course. We hope these hands-on exercises prepare you to apply GCP DevOps techniques in your own projects. Best of luck on your DevOps journey!

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