What this book covers

Chapter 1, Understanding the Runtime Environment, explains the runtime environment, how requests are processed and handled, and how App Engine scales. This chapter also explores the limitations of runtime environments with respect to the request time and response size, among other factors.

Chapter 2, Handling Web Requests, introduces ways to handle web requests by using a built-in framework or Django and others. It also discusses how to serve static files and caching issues, render templates.

Chapter 3, Understanding the Datastore, covers the problem of storing huge amounts of data and processing it in bulk with the ability to randomly access it. This chapter explains the datastore in detail, which is built on top of Bigtable.

Chapter 4, Modeling Your Data, explains the new ndb Python library on top of Google datastore. It will also teach you how to model your data using its API.

Chapter 5, Queries, Indexes, and Transactions, focuses on how to query your data, the limitations, and ways to work around these limitations.

Chapter 6, Integrating Search, builds upon the datastore and shows how to make data searchable.

Chapter 7, Using Task Queues, introduces the reader to task queues, which enable the background repeated execution of tasks.

Chapter 8, Reaching out, Sending E-mails, talks about how the app can send and receive e-mails and how to handle bounce notifications.

Chapter 9, Working with the Google App Engine Services, introduces you to the other services that are provided by Google App Engine to make you aware of your available options.

Chapter 10, Application Deployment, talks in detail about deploying the GAE apps.