Book Image

Google Cloud Platform Administration

By : Ranjit Singh Thakurratan
Book Image

Google Cloud Platform Administration

By: Ranjit Singh Thakurratan

Overview of this book

On-premise data centers are costly to manage. If you need a data center but don’t want to deal with a physical one, Google Cloud Platform (GCP) is the solution. With GCP, you can build, test, and deploy applications on Google’s infrastructure. Google Cloud Platform Administration begins with GCP fundamentals, with the help of which you will deploy your first app and gain an understanding of Google Cloud architecture and services. Furthermore, you will learn how to manage Compute, networking, and storage resources. As you make your way through the book, you will learn how to track and manage GCP’s usage, monitoring, and billing access control. You will also be able to manage your GCP's access and permissions. In the concluding chapters, you will explore a list of different developer tools for managing and interacting with the GCP platform. By the end of this book, you will have learned how to effectively deploy workloads on GCP.
Table of Contents (11 chapters)

Private Google access

By default, virtual machines instances that have an external IP address can access Google APIs. Not all instances will have a public IP address and your instances may need access to Google APIs and services. Private Google access allows your instances to reach Google APIs and services using an internal IP address rather than a public IP address. This makes it possible for you to use private access to allow virtual machines to reach Google services. Services such as BigQuery, Cloud Bigtable, container registry, Cloud Dataproc, cloud storage, and many more can all be reached internally through Private Google access.

You can enable Private Google access on a subnet level and any VMs on that subnet can access Google APIs by using their internal IP address. These subnets can either be auto or custom. Here is a list of services that can be accessed privately using...