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Google Cloud Platform for Architects

You're reading from   Google Cloud Platform for Architects Design and manage powerful cloud solutions

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788834308
Length 372 pages
Edition 1st Edition
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Authors (3):
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Loonycorn Ravi Loonycorn Ravi
Author Profile Icon Loonycorn Ravi
Loonycorn Ravi
Judy Raj Judy Raj
Author Profile Icon Judy Raj
Judy Raj
Vitthal Srinivasan Vitthal Srinivasan
Author Profile Icon Vitthal Srinivasan
Vitthal Srinivasan
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Table of Contents (19) Chapters Close

Preface 1. The Case for Cloud Computing FREE CHAPTER 2. Introduction to Google Cloud Platform 3. Compute Choices – VMs and the Google Compute Engine 4. GKE, App Engine, and Cloud Functions 5. Google Cloud Storage – Fishing in a Bucket 6. Relational Databases 7. NoSQL Databases 8. BigQuery 9. Identity and Access Management 10. Managing Hadoop with Dataproc 11. Load Balancing 12. Networking in GCP 13. Logging and Monitoring 14. Infrastructure Automation 15. Security on the GCP 16. Pricing Considerations 17. Effective Use of the GCP 18. Other Books You May Enjoy

Serving Static Content with GCS Buckets

The following diagram illustrates something interesting: just as we can place a backend service (for example, a group of VMs) behind a load balancer for dynamic content, we can also place backend buckets behind a load balancer. It would also make sense to use Google's Content Delivery Network (CDN) to cache the content in those buckets in front of the load balancer, but that is not actually shown in this diagram:

GCP also features content-based load balancing, where an HTTP(S) load balancer can be set up to distribute traffic to different backends depending on the URL path. For instance, if the video content for your website is stored in a bucket, you could configure your load balancer to direct all requests to URL paths that begin with /video to your bucket. All other requests can be served by your VM instances:

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