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Google Cloud Platform for Architects: Design and manage powerful cloud solutions
Google Cloud Platform for Architects: Design and manage powerful cloud solutions
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Google Cloud Platform for Architects: Design and manage powerful cloud solutions

Google Cloud Platform for Architects: Design and manage powerful cloud solutions

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Get started with GCP and manage robust, highly available, and dynamic solutions to drive business objectives

Using a public cloud platform was considered risky a decade ago, and unconventional even just a few years ago. Today, however, use of the public cloud is completely mainstream. Several leading technology firms including Google have built sophisticated cloud platforms, and are locked in a fierce competition for market share.

Google Cloud Platform for Architects enables you to get the best out of GCP and use it confidently to design better infrastructure. The book guides you on how to scale your system and boost its security, helping you become a skilled high-level cloud architect. As you progress, you will discover how individual cloud services are configured and used. The later chapters will even provide you with insights into the best GCP services and help you understand how and when to use them, regardless of how big or small your infrastructure is.

By the end of this book, you will be well versed with GCP and have the skills you need to develop and monitor robust cloud solutions.

ISBN-10
1788834305
ISBN-13
978-1788834308
Publisher
Packt Publishing
Price
44.99
File Type
PDF
Page No.
372

About the Author

Vitthal Srinivasan is a Google Cloud Platform Authorized Trainer and certified Google Cloud Architect and Data Engineer. Vitthal holds master's degrees in math and electrical engineering from Stanford and an MBA from INSEAD. He has worked at Google as well as at other large firms, such as Credit Suisse and Flipkart. He is currently in Loonycorn, a technical video content studio, of which he is a cofounder.

  • Set up a GCP account and utilize its services using Cloud Shell, web console, and client APIs
  • Leverage App Engine, Compute Engine, containers on Kubernetes Engine, and Cloud Functions
  • Pick the right service for your data needs from options like Bigtable and BigQuery
  • Migrate Hadoop, Spark, and Pig workloads with minimal disruption to your existing infrastructure using Dataproc
  • Understand the health, performance, and availability of cloud-powered apps using monitoring, logging, and diagnostic tools in Stackdriver
  • Explore how individual cloud services are configured and used

  1. The Case for Cloud Computing
  2. Introduction to GCP
  3. Compute Choices: VMs and the GCE
  4. GKE, AppEngine and Cloud Functions
  5. Google Cloud Storage: Fishing in a Bucket
  6. Relational Database
  7. NoSQL Databases
  8. BigQuery
  9. Identity and Access Management
  10. Managed 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

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