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

Capabilities and integrations


With the need for general object storage being so ubiquitous among cloud solutions, it's not surprising that there are a very large number of product integrations with Google Cloud Storage. We've already seen some of these integrations in earlier chapters, including App Engine, Cloud Datastore, and Cloud SQL. Some of the other GCP products that integrate with Cloud Storage include the following:

  • Cloud Dataflow: Pipeline I/O for reading and writing Cloud Storage objects
  • BigQuery: Import/export and query CSV, JSON, and AVRO files directly from Cloud Storage
  • Cloud Dataproc: Cloud Storage as an incredibly scalable HDFS backend
  • Cloud Functions: Object change triggers
  • Cloud Load Balancers: Backend buckets for serving static content
  • Cloud Pub/Sub :Publish notifications for object changes
  • Cloud CDN :SSL and edge caching for static content in Cloud Storage
  • Cloud Dataprep :For sanitizing and formatting Cloud Storage files for further use
  • Cloud Logging: Export logs to Cloud Storage...