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

NoSQL solutions on GCP


Google hosts many of the world's most prevalent technology solutions, including Search, Maps, and Gmail. These solutions need to be fast and highly available while interacting with staggering amounts of data. Historically, traditional relational database management system (RDBMS) simply could not handle data at Google scale. These Google services require a persistence solution that can be widely distributed for horizontal scalability, locality, and fault tolerance.

When many of these services were being created, there simply was not an existing technology that could effectively provide the level of performance needed. This led Google to explore novel approaches to data persistence, resulting in new technologies that advanced the field. Google has released several seminal papers on the topic of data persistence that laid the groundwork for what would become industry standards. Papers published on topics such as Google File System, MapReduce, and F1 have either been directly...