Google Cloud Platform for Architects

Google Cloud Platform for Architects

by Vitthal Srinivasan, Janani Ravi, Judy T Raj


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Get acquainted with GCP and manage robust, highly available, and dynamic solutions to drive business objective

Key Features

  • Identify the strengths, weaknesses and ideal use-cases for individual services offered on the Google Cloud Platform
  • Make intelligent choices about which cloud technology works best for your use-case
  • Leverage Google Cloud Platform to analyze and optimize technical and business processes

Book Description

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 - the norm, rather than the exception. Several leading technology firms, including Google, have built sophisticated cloud platforms, and are locked in a fierce competition for market share.

The main goal of this book is to enable you to get the best out of the GCP, and to use it with confidence and competence. You will learn why cloud architectures take the forms that they do, and this will help you become a skilled high-level cloud architect. You will also learn how individual cloud services are configured and used, so that you are never intimidated at having to build it yourself. You will also learn the right way and the right situation in which to use the important GCP services.

By the end of this book, you will be able to make the most out of Google Cloud Platform design.

What you will learn

  • Set up GCP account and utilize GCP services using the cloud shell, web console, and client APIs
  • Harness the power of App Engine, Compute Engine, Containers on the Kubernetes Engine, and Cloud Functions
  • Pick the right managed service for your data needs, choosing intelligently between Datastore, BigTable, and BigQuery
  • Migrate existing Hadoop, Spark, and Pig workloads with minimal disruption to your existing data infrastructure, by using Dataproc intelligently
  • Derive insights about the health, performance, and availability of cloud-powered applications with the help of monitoring, logging, and diagnostic tools in Stackdriver

Who this book is for

If you are a Cloud architect who is responsible to design and manage robust cloud solutions with Google Cloud Platform, then this book is for you. System engineers and Enterprise architects will also find this book useful. A basic understanding of distributed applications would be helpful, although not strictly necessary. Some working experience on other public cloud platforms would help too.

Product Details

ISBN-13: 9781788834308
Publisher: Packt Publishing
Publication date: 06/26/2018
Pages: 372
Sales rank: 973,736
Product dimensions: 7.50(w) x 9.25(h) x 0.77(d)

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. Janani Ravi is a certified Google Cloud Architect and Data Engineer. She has earned her master's degree in electrical engineering from Stanford. She is currently in Loonycorn, a technical video content studio, of which she is a cofounder. Prior to co-founding Loonycorn, she worked at various leading companies, such as Google and Microsoft, for several years as a software engineer. Judy Raj is a Google Certified Professional Cloud Architect, and she has great experience with the three leading cloud platforms, namely AWS, Azure, and the GCP. She has also worked with a wide range of technologies in machine learning, data science, IoT, robotics, and mobile and web app development. She is currently a technical content engineer in Loonycorn. She holds a degree in computer science and engineering from Cochin University of Science and Technology. Being a driven engineer fascinated with technology, she is a passionate coder, an AI enthusiast, and a cloud aficionado.

Table of Contents

Table of Contents

  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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