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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
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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

Google Cloud Storage – Fishing in a Bucket

Google Cloud Storage (GCS) is what you ought to use to store unstructured data such as images, videos, or other static content, as well as for backups, disaster recovery, and other cool or cold data. GCS stores data in the form of objects on an underlying distributed filesystem, called Colossus. Colossus is Google-proprietary and a very high-performance filesystem.

You can transfer data in or out of GCS using a command-line tool called gsutil (different from gcloud, which we've used for compute-related operations so far). Under the hood, gsutil makes RESTful API calls to the GCS service, so we can do the same and interact with GCS via the web console or client apps.

This chapter is meant to get you familiar with GCS and to give you an idea of where it would fit within with your overall infrastructure. We will be exploring...

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