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Mastering Google App Engine

Mastering Google App Engine

3 (2)
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Mastering Google App Engine

Mastering Google App Engine

3 (2)

Overview of this book

Developing web applications that serve millions of users is no easy task, as it involves a number of configurations and administrative tasks for the underlying software and hardware stack. This whole configuration requires not only expertise, but also a fair amount of time as well. Time that could have been spent on actual application functionality. Google App Engine allows you develop highly scalable web applications or backends for mobile applications without worrying about the system administration plumbing or hardware provisioning issues. Just focus writing on your business logic, the meat of the application, and let Google's powerful infrastructure scale it to thousands of requests per second and millions of users without any effort on your part. This book takes you from explaining how scalable applications work to designing and developing robust scalable web applications of your own, utilizing services available on Google App Engine. Starting with a walkthrough of scalability is and how scalable web applications work, this book introduces you to the environment under which your applications exist on Google App Engine. Next, you will learn about Google's datastore, which is a massively scalable distributed NoSQL solution built on top of BigTable. You will examine the BigTable concepts and operations in detail and reveal how it is used to build Google datastore. Armed with this knowledge, you will then advance towards how to best model your data and query that along with transactions. To augment the powerful distributed dataset, you will deep dive into search functionality offered on Google App Engine. With the search and storage sorted out, you will get a look into performing long running tasks in the background using Google App Engine task queues along with sending and receiving emails. You will also examine the memcache to boost web application performance, image processing for common image manipulation tasks. You will then explore uploading, storing, and serving large files using Blobstore and Cloud storage. Finally, you will be presented with the deployment and monitoring of your applications in production along with a detailed look at dividing applications into different working modules.
Table of Contents (12 chapters)
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11
Index

Chapter 1. Understanding the Runtime Environment

In this chapter, we will look at the runtime environment that is offered by Google App Engine. Overall, a few details of the runtime environment pertaining to the infrastructure remain the same no matter which runtime environment—Java, Python, Go, or PHP—you opt for.

From all the available runtimes, Python is the most mature one. Therefore, in order to master Google App Engine, we will focus on Python alone. Many of the details vary a bit, but in general, runtimes have a commonality. Having said that, the other runtimes are catching up as well and all of them (including Java, PHP, and Go) are out of their respective beta stages.

Understanding the runtime environment will help you have a better grasp of the environment in which your code executes and you might be able to tweak code in accordance and understand why things behave the way they behave.

In this chapter, we will cover the following topics:

  • The overall architecture
  • Runtime environments
  • Anatomy of a Google App Engine application
  • A quick overview of the available services
  • Setting up the development tools and writing a basic application
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