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Google Cloud Platform for Developers

Google Cloud Platform for Developers

By : Ted Hunter, Steven Porter
4.3 (4)
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Google Cloud Platform for Developers

Google Cloud Platform for Developers

4.3 (4)
By: Ted Hunter, Steven Porter

Overview of this book

Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications.
Table of Contents (17 chapters)
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Other command-line tools

Although the majority of tasks on Google Cloud Platform can be completed via gcloud, there are some activities that require additional tools. This is primarily due to the development history and scope of the tools and their related platforms.

In addition to gcloud, the Google Cloud SDK comes bundled with gsutil and bq. Additionally, the Google Cloud SDK offers a few other product-specific command-line tools that are not installed by default, but can be installed via gcloud components install. Here, we'll just touch on some of the major tools used in this book.

bq

The bq command-line tool is used to interact with BigQuery. It includes basic commands for tasks like retrieving metadata about projects...

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