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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

To get the most out of this book

  1. First, go breadth-first. Read each chapter rapidly, paying particular attention to the early bits and to the rhymes. They summarize the key points.
  2. Don’t forget to laugh while reading the rhymes! Seriously, pay attention to each line in the rhymes as they are particularly packed with information.
  3. After you finish going through the entire book quickly, come back to the chapters that relate to your specific use cases and go through them in detail.
  4. For the drills in the book, understand what step is trying to accomplish, then try it out on your own. In particular, also search for online updates for your most important use cases—the world of cloud computing and the GCP is changing incredibly fast.

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "A public dataset named samples.natality is queried"

A block of code is set as follows:

#standardSQL 
SELECT
weight_pounds, state, year, gestation_weeks
FROM
`bigquery-public-data.samples.natality`
ORDER BY weight_pounds DESC LIMIT 10;

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

#standardSQL 
SELECT
weight_pounds, state, year, gestation_weeks
FROM
`bigquery-public-data.samples.natality`
ORDER BY weight_pounds DESC LIMIT 10;

Any command-line input or output is written as follows:

curl -f -O http://repo1.maven.org/maven2/com/google/cloud/bigtable/bigtable-beam-import/1.1.2/bigtable-beam-import-1.1.2-shaded.jar

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "To upload the datafile, click on the Choose file button."

Warnings or important notes appear like this.
Tips and tricks appear like this.
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