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 Spanner


While Cloud SQL provides a fully managed relational database experience, it does so by leveraging MySQL and PostgreSQL, making it subject to the limitations of these databases.

In the context of scalability, this means that Cloud SQL is limited to the upper bounds of these technologies - even more so as Cloud SQL makes no attempt to provide mechanisms for sharding. While technically possible through external tools such as ProxySQL, attempting to horizontally scale Cloud SQL essentially breaks the managed aspect of Cloud SQL.

As we discussed in the previous chapter, these limitations in scalability and ability to operate in a highly-distributed environment are largely what gave rise to NoSQL technologies. By sacrificing strong consistency guarantees (save for special cases that tend to carry poor performance), NoSQL solutions are able to scale far beyond traditional RDBMS solutions. Unfortunately, the NoSQL model simply doesn't work for many applications.

In 2005, Google...