In this chapter, we turn our focus to infrastructure automation, a topic that is becoming quite hot these days and is also often referred to as Infrastructure as a Code (IaaC). The idea is that provisioning resources can be done programmatically, using templates, commands, and even code. The implication of this is quite profound, particularly for companies that specialize in providing IT services and system integration. Such companies often have a large number of employees working on deploying infrastructure, servicing tickets, requisitioning hardware, and so on. The fundamental business model of such firms could change, and those that are not nimble might be at existential risk. In general, IAC can also be considered as the starting point of the DevOps movement. It acts as a foundation of Infrastructure automation which not only expedites the software...
Google Cloud Platform for Architects
By :
Google Cloud Platform for Architects
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Overview of this book
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.
Table of Contents (19 chapters)
Preface
Free Chapter
The Case for Cloud Computing
Introduction to Google Cloud Platform
Compute Choices – VMs and the Google Compute Engine
GKE, App Engine, and Cloud Functions
Google Cloud Storage – Fishing in a Bucket
Relational Databases
NoSQL Databases
BigQuery
Identity and Access Management
Managing Hadoop with Dataproc
Load Balancing
Networking in GCP
Logging and Monitoring
Infrastructure Automation
Security on the GCP
Pricing Considerations
Effective Use of the GCP
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Customer Reviews