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

Datastore core concepts


Before going any further, let's take a step back and look at how Datastore actually works. Datastore is designed to be easy to use, but there are several concepts that may be unfamiliar to many developers. In order to get the most out of Datastore, it's important to understand a few core concepts, such as how the data is modeled, how indexing works, and under what circumstances Datastore offers atomicity, consistency, isolation, durability (ACID) compliance.

The structure of Datastore data

Most developers are familiar with the general structure of data in a traditional relational database, and a common approach to understanding Datastore is to build on that knowledge by drawing parallels between relational databases and Datastore. Here is a table outlining the base components of each system and how they relate:

Relational databases

Datastore

Table

Kind

Row

Entity

Column or field

Property

Primary key

Identifier, key

Foreign keys

Ancestors and descendants

 

Note that each of these...