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Building Google Cloud Platform Solutions

You're reading from   Building Google Cloud Platform Solutions Develop scalable applications from scratch and make them globally available in almost any language

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Product type Course
Published in Mar 2019
Publisher Packt
ISBN-13 9781838647438
Length 778 pages
Edition 1st Edition
Languages
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Authors (3):
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Steven Porter Steven Porter
Author Profile Icon Steven Porter
Steven Porter
Legorie Rajan PS Legorie Rajan PS
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Legorie Rajan PS
Ted Hunter Ted Hunter
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Ted Hunter
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Table of Contents (29) Chapters Close

Title Page
Copyright and Credits
About Packt
Contributors
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. Compute 17. Storage and Databases 18. Networking 19. Security 20. Machine Learning and Big Data 21. Management Tools 22. Best Practices 1. Other Books You May Enjoy Index

Exposing GKE Services


All of this magic that GKE and Kubernetes provides us would be for naught if you couldn't expose your services to other GCP-consuming services and the outside world. Don't fret, Kubernetes and GCP provide a wealth of functionality to appropriately expose applications and services to a myriad of different types of consumer. 

When exposing your GKE cluster to traffic, you have three distinct options as to how you expose your services and applications:

  • Cluster IP: Exposes your workload via internal IP to the cluster
  • Node port: Exposes your workload via a specific port on each node within the cluster
  • Load balancer: Creates a load balancer which then exposes your workload via an external IP address

Exposing services within a cluster

As mentioned earlier in the chapter, one of the key scenarios where Kubernetes and GKE are very beneficial is microservices. Once you deploy your services or application to a GKE container cluster, its pods are automatically assigned internal IP addresses...

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