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 Bigtable


Google Bigtable is a data storage solution for extremely large sets of flat, loosely structured data. First put into internal use in 2005, Bigtable was designed to address the data needs of some of Google's most demanding services, such as indexing the internet, Gmail, Google Earth, and YouTube. All of these services must quickly store and act on several petabytes of data.

In 2006, Google researchers published Bigtable: A Distributed Storage System for Structured Data, which outlined the driving philosophy and architecture behind Bigtable. This had a major influence on many other database technologies, including Apache HBase and Cassandra. As we've seen, Bigtable plays a central role in many other products in the Google Cloud sphere, including Datastore and Firestore. In May 2015, Google released Bigtable as a standalone managed service in the Google Cloud Platform catalog.

Bigtable is an ideal storage solution for extremely large datasets containing billions of rows, each...