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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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Toc

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

Compute options for Dataproc

Dataproc cluster instances are built on Google Compute Engine instances, which means we have a wide variety of machines to choose from, according to our use and budget. Just like Compute Engine instances, Dataproc instances can also use both predefined and custom machine types. In the beta update of Dataproc, we can also use f1-micro CPU to decrease the cost even further, whereas for performance-heavy applications we can choose persistent SSD over persistent disks. Apart from these basic configurations, the following are optional customizations possible with Dataproc instances:

  • GPUs
  • Automatic zone selection
  • Optional preemptibility for lower cost
  • High availability
  • Scheduled deletion of clusters
  • Live scaling (without bringing apps down)
  • Single-node sandbox clusters
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