In the cloud world, the most hands-on of these approaches is not really an option—you are not going to actually own the machines, and physically maintain them. That is the whole point of switching to the cloud—that the cloud provider manages scaling for you and allows you to pay as you go. But a cloud equivalent of this approach still exists—you could provision a large number of virtual machines (again, these machines are virtual, not physical), and run your app on all of these. You'd be able to log in to these machines, and you'd have to manage scaling up or down (by provisioning more or less VMs). The cloud provider is still providing you with very valuable services—you can autoscale your groups of VMs, you can have your VMs stay live during system maintenance, and so on. These services...
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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