Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Google Cloud Platform Cookbook

You're reading from   Google Cloud Platform Cookbook Implement, deploy, maintain, and migrate applications on Google Cloud Platform

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788291996
Length 280 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Legorie Rajan PS Legorie Rajan PS
Author Profile Icon Legorie Rajan PS
Legorie Rajan PS
Arrow right icon
View More author details
Toc

Table of Contents (9) Chapters Close

Preface 1. Compute 2. Storage and Databases FREE CHAPTER 3. Networking 4. Security 5. Machine Learning and Big Data 6. Management Tools 7. Best Practices 8. Other Books You May Enjoy

Introduction


In this chapter, we'll get a taste of some of the best practices and solutions that are performed at an enterprise level. Enterprises demand stricter policies and processes to allow the ability for multiple stakeholders to work in a robust environment. When a developer creates an instance, not a lot of thought is put into the ports being opened, password policies, and infrastructure policies. On the other hand, at an enterprise level, for each component of the infrastructure, a specific person or role is defined to ensure a smooth operation.

This chapter covers a few topics on how instances are managed, migration of instances, and tools that ensure and enable industry-grade operations.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime