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


Integrating asynchronous messaging into distributed systems affords a large degree of protection against many common concerns. While not a silver bullet, Cloud Pub/Sub is general enough that it warrants consideration when building any distributed system on Google Cloud. With low latency, horizontal scaling, intelligent routing, and the capacity to deliver hundreds of millions of messages per second, Cloud Pub/Sub is a viable option for solutions of any size.

Cloud Pub/Sub provides a natural integration point between both managed and customer services. Capitalizing on this, Google provides great support for Pub/Sub in many Google Cloud Platform products and services. Due to its scale and event-based nature, Cloud Pub/Sub is particularly ideal for working with real-time big data, a topic we will expand on in Chapter 15, Integrating with Big Data Solutions on GCP.

As we've seen, one use case of Cloud Pub/Sub for big data streaming is working with IoT devices, which often generate huge...