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

Understanding Cloud Spanner


What makes Cloud Spanner remarkable is its ability to seemingly overcome the limitations of other relational databases without making the trade-offs generally associated with NoSQL databases. Cloud Spanner is globally consistent, highly available, horizontally scalable, and fully ACID compliant. Let's take a closer look at how Cloud Spanner actually achieves this.

Cloud Spanner and CAP theorem

As many readers are likely familiar with, the CAP theorem plays a significant role when designing distributed systems. Introduced by Eric Brewer in 1998, the CAP theorem states that any distributed system can guarantee at most two of the following three qualities:

  • Consistency: All observers see the most recent data and order of events is guaranteed
  • Availability: The system is always online and able to handle all requests
  • Partition tolerance: The system continues to operate during network disruptions

Traditional relational databases guarantee consistency and partition tolerance...