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

Working with Dataproc

In this section, we will learn how to set up a Dataproc cluster, submit a job to the cluster, and do some interesting things with Dataproc.

  1. Navigate to the project where you wish to set up the cluster.
  2. Click on the menu button in the top-left corner with three horizontal lines and choose Dataproc from the drop-down menu:
  1. Click on the Create Cluster button and fill in the required information for the cluster, which is cluster name, memory and CPU configurations, region, GPU, and disk configurations. We will name our cluster my-cluster and choose single node globally:
  1. To configure the cluster further, you can visit the staging bucket for the cluster, which is used to store configurations and control files. The staging buckets are separate for each region, so make sure your staging bucket is in the same region as your cluster. To view it, use the following...