Book Image

Google Cloud Platform for Architects

By : Vitthal Srinivasan, Loonycorn , Judy Raj
Book Image

Google Cloud Platform for Architects

By: Vitthal Srinivasan, Loonycorn , Judy Raj

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)
13
Logging and Monitoring

Pay for what you allocate not what you use

This is an important mistake that even experienced technical folks make while switching from the on-premise world to the cloud. We are conditioned to think that the cloud world is all pay-what-you-use, and elastic, but that is not entirely true. There are numerous GCP services where you pay for resources that you allocate (even if you end up not using them). The three most important ones probably are as follows:

  • Block storage (persistent disks and local SSDs)
  • BigTable
  • Cloud Spanner

BigTable and Cloud Spanner are resources where you provision nodes based on your data size, so at least in those cases you are unlikely to wildly overprovision. Block storage devices, the persistent disks, and local SSDs are quite likely to drop below your penny-pinching radar though. These disk abstractions can always be resized, so don't feel compelled...