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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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Google Cloud Storage

In the previous chapters, we covered several of the NoSQL and SQL solutions available on GCP, including Datastore, Bigtable, Cloud SQL, and Cloud Spanner. A common thread in each of these technologies is that they are designed to host and operate on structured data. By ensuring that data conforms to some level of structural integrity, these services are able to provide functionality such as introspection and aggregation. Generally speaking, these tools are designed to handle some form of system state.

Many services need to store various types of unstructured data, such as images or binary blobs. Additionally, various workflows require storing objects as part of a larger operation, such as imports and exports, or indefinitely, for purposes such as performing backups. To address these needs, Google released the developer preview of Google Storage for Developers...

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