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

Summary


Google has played a major role in advancing the world of large-scale data persistence. Necessity is the mother of invention. With the creation of Bigtable, Google had an ideal solution to some of its hardest internal problems, such as indexing the internet, charting the entire planet, and building the world's largest catalog of cat videos. As a managed service in the GCP catalog, anyone can solve data problems on the same scale.

While Bigtable presents an extremely powerful platform for building systems on huge datasets, it does so at the cost of basic database functionality such as transactions and queries. It also only solves the problem of scale at the far end. For most applications, there simply isn't a need for petabytes of data or millions of writes per second. Many of these applications simply need to be solved for persistence in an easy-to-use way that works equally well with a few kilobytes of data as a few terabytes of data. For these cases, Datastore is an ideal solution...