Book Image

Building Google Cloud Platform Solutions

By : Ted Hunter, Steven Porter, Legorie Rajan PS
Book Image

Building Google Cloud Platform Solutions

By: Ted Hunter, Steven Porter, Legorie Rajan PS

Overview of this book

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: • Google Cloud Platform for Developers Ted Hunter and Steven Porter • Google Cloud Platform Cookbook by Legorie Rajan PS
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Deploying Cloud Functions


There are a number of ways to deploy Cloud Functions. We've already covered the one method: using the Cloud Console inline editor. This method is simple and straightforward, but it doesn't hold water in terms of release engineering. For real-world applications, there are a few better alternatives:

  • Deploying from a GCS bucket
  • Deploying from a local filesystem
  • Deploying from a Google Cloud Source Repository

All three methods can be done using the gcloud beta functions deploy command. This command takes an optional --source argument, which accepts a GCS bucket path, a Cloud Source Repository, or a local filesystem path.

Deploying from a local machine

When deploying from a local filesystem, gcloud will first bundle the included files and push them to a staging bucket in GCS. The staging bucket to use can be specified by providing the optional --stage-bucket argument. Once in the staging bucket, the process for deployment is similar to that of deploying directly from a GCS...