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Google Cloud Platform for Developers

You're reading from   Google Cloud Platform for Developers Build highly scalable cloud solutions with the power of Google Cloud Platform

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788837675
Length 506 pages
Edition 1st Edition
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Authors (2):
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Ted Hunter Ted Hunter
Author Profile Icon Ted Hunter
Ted Hunter
Steven Porter Steven Porter
Author Profile Icon Steven Porter
Steven Porter
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Table of Contents (17) Chapters Close

Preface 1. Why GCP? FREE CHAPTER 2. The Google Cloud Console 3. APIs, CLIs, IAM, and Billing 4. Google App Engine 5. Google Kubernetes Engine 6. Google Cloud Functions 7. Google Compute Engine 8. NoSQL with Datastore and Bigtable 9. Relational Data with Cloud SQL and Cloud Spanner 10. Google Cloud Storage 11. Stackdriver 12. Change Management 13. GCP Networking for Developers 14. Messaging with Pub/Sub and IoT Core 15. Integrating with Big Data Solutions on GCP 16. Other Books You May Enjoy

Deploying workloads to GKE

The whole point of all the setup and configuration is to finally get to the point where you can deploy workloads to your GKE container clusters. Deploying workloads to GKE has gotten much easier over its lifetime; you can now even deploy simple workloads directly from images in Container Registry using the GCP Cloud Console. The three GKE deployment options are:

  • kubectl run using command line parameters
  • kubectl apply using YAML deployment file
  • Kubernetes Engine Workloads dashboard

As noted earlier in this chapter, scripted deployments are much preferred when repeatability and testability are concerns. The console should only really be used when deploying trial or test workloads in an R&D type environment. The pinnacle of scripted deployments is when you get to parameterized YAML that is driven by an orchestration engine, for example Terraform,...

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