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

Google Cloud Firestore


In addition to Datastore, Google now offers a similar service called Firestore as part of the mobile backend as a service (Baas) suite Firebase. Firestore shares much of its underlying infrastructure with Datastore, although it targets different use cases. As a result, there is a large overlap in the behavior and capabilities of Datastore and Firestore, although the differences are very significant.

Comparison to Datastore

Both platforms implement similar indexing strategies, although Firestore offers additional consistency guarantees using broader collections, due to the fact that Firestore implements shallow queries within the collections. By far the most significant difference between Datastore and Firestore is that Firestore is a real-time database. Up to 100,000 concurrent users may subscribe to Firestore and be notified when data changes occur, instead of constantly polling the database to identify changes.

Additionally, Firestore offers a number of Firebase integrations...