Google App Engine lets you run your web applications on Google’s infrastructure. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow. With App Engine, there are no servers to maintain: You just upload your application, and it’s ready to serve your users.
You can serve your app using a free domain name on the appspot.com domain, or use Google Apps to serve it from your own domain. You can share your application with the world, or limit access to members of your organization.
App Engine costs nothing to get started. Sign up for a free account, and you can develop and publish your application for the world to see, at no charge and with no obligation. A free account can use up to 500MB of persistent storage and enough CPU and bandwidth for about 5 million page views a month.
During the preview release of Google App Engine, only free accounts are available. In the near future, you will be able to purchase additional computing resources.
Leveraging Google App Engine, developers can:
* Write code once and deploy. Provisioning and configuring multiple machines for web serving and data storage can be expensive and time consuming. Google App Engine makes it easier to deploy web applications by dynamically providing computing resources as they are needed. Developers write the code, and Google App Engine takes care of the rest.
* Absorb spikes in traffic. When a web app surges in popularity, the sudden increase in traffic can be overwhelming for applications of all sizes, from startups to large companies that find themselves rearchitecting their databases and entire systems several times a year. With automatic replication and load balancing, Google App Engine makes it easier to scale from one user to one million by taking advantage of Bigtable and other components of Google’s scalable infrastructure.
* Easily integrate with other Google services. It’s unnecessary and inefficient for developers to write components like authentication and e-mail from scratch for each new application. Developers using Google App Engine can make use of built-in components and Google’s broader library of APIs that provide plug-and-play functionality for simple but important features.
Google App Engine: The Limitations
The service is launching in beta and has a number of limitations.
First, only the first 10,000 developers to sign up for the beta will be allowed to deploy applications.
The service is completely free during the beta period, but there are ceilings on usage. Applications cannot use more than 500 MB of total storage, 200 million megacycles/day CPU time, and 10 GB bandwidth (both ways) per day. We’re told this equates to about 5M pageviews/mo for the typical web app. After the beta period, those ceilings will be removed, but developers will need to pay for any overage. Google has not yet set pricing for the service.
One current limitation is a requirement that applications be written in Python, a popular scripting language for building modern web apps (Ruby and PHP are among others widely used). Google says that Python is just the first supported language, and that the entire infrastructure is designed to be language neutral. Google’s initial focus on Python makes sense because they use Python internally as their scripting language
The Application Environment
Google App Engine makes it easy to build an application that runs reliably, even under heavy load and with large amounts of data. The environment includes the following features:
* dynamic web serving, with full support for common web technologies
* persistent storage with queries, sorting and transactions
* automatic scaling and load balancing
* APIs for authenticating users and sending email using Google Accounts
* a fully featured local development environment that simulates Google App Engine on your computer
Google App Engine applications are implemented using the Python programming language. The runtime environment includes the full Python language and most of the Python standard library.
Although Python is currently the only language supported by Google App Engine, we look forward to supporting more languages in the future.
Applications run in a secure environment that provides limited access to the underlying operating system. These limitations allow App Engine to distribute web requests for the application across multiple servers, and start and stop servers to meet traffic demands. The sandbox isolates your application in its own secure, reliable environment that is independent of the hardware, operating system and physical location of the web server.
Examples of the limitations of the secure sandbox environment include:
* An application can only access other computers on the Internet through the provided URL fetch and email services and APIs. Other computers can only connect to the application by making HTTP (or HTTPS) requests on the standard ports.
* An application cannot write to the file system. An app can read files, but only files uploaded with the application code. The app must use the App Engine datastore for all data that persists between requests.
* Application code only runs in response to a web request, and must return response data within a few seconds. A request handler cannot spawn a sub-process or execute code after the response has been sent.
The Python Runtime Environment
App Engine provides a runtime environment that uses the Python programming language. Other programming languages and runtime environment configurations are being considered for future releases.
The Python runtime environment uses Python version 2.5.2.
The environment includes the Python standard library. Of course, calling a library method that violates a sandbox restriction, such as attempting to open a socket or write to a file, will not succeed. For convenience, several modules in the standard library whose core features are not supported by the runtime environment have been disabled, and code that imports them will raise an error.
Application code must be written exclusively in Python. Code with extensions written in C is not supported.
The Python environment provides rich Python APIs for the datastore, Google Accounts, URL fetch and email services. App Engine also provides a simple Python web application framework called webapp to make it easy to start building applications.
For convenience, App Engine also includes the Django web application framework, version 0.96.1. Note that the App Engine datastore is not a relational database, which is required by some Django components. Some components, such as the Django template engine, work as documented, while others require a bit more effort.
You can upload other third-party libraries with your application, as long as they are implemented in pure Python and do not require any unsupported standard library modules.
For more information about the Python runtime environment, see The Python Runtime Environment.
App Engine provides a powerful distributed data storage service that features a query engine and transactions. Just as the distributed web server grows with your traffic, the distributed datastore grows with your data.
The App Engine datastore is not like a traditional relational database. Data objects, or "entities," have a kind and a set of properties. Queries can retrieve entities of a given kind filtered and sorted by the values of the properties. Property values can be of any of the supported property value types.
The Python API for the datastore includes a data modeling interface that can define a structure for datastore entities. A data model can indicate that a property must have a value within a given range, or provide a default value if none is given. Your application can provide as much or as little structure to the data as it needs.
The datastore uses optimistic locking for concurrency control. An update of a entity occurs in a transaction that is retried a fixed number of times if other processes are trying to update the same entity simultaneously. Your application can execute multiple datastore operations in a single transaction which either all succeed or all fail, ensuring the integrity of your data.
The datastore implements transactions across its distributed network using "entity groups." A transaction manipulates entities within a single group. Entities of the same group are stored together for efficient execution of transactions. Your application can assign entities to groups when the entities are created.
For more information about the datastore, see the Datastore API reference.
App Engine includes a service API for integrating with Google Accounts. Your application can allow a user to sign in with a Google account, and access the email address and displayable name associated with the account. Using Google Accounts lets the user start using your application faster, because the user may not need to create a new account. It also saves you the effort of implementing a user account system just for your application.
If your application is running under Google Apps, it can use the same features with members of your organization and Google Apps accounts.
The Users API can also tell the application whether the current user is a registered administrator for the application. This makes it easy to implement admin-only areas of your site.
For more information about integrating with Google Accounts, see the Users API reference.
The URL Fetch and Mail Services
Applications can access resources on the Internet, such as web services or other data, using App Engine’s URL fetch service. The URL fetch service retrieves web resources using the same high-speed Google infrastructure that retrieves web pages for many other Google products.
Applications can also send email messages using App Engine’s mail service. The mail service also uses Google infrastructure to send email messages.
For more information about the URL fetch and mail services, see the URL Fetch API reference and the the Mail API reference.
The App Engine software development kit (SDK) includes a web server application that emulates all of the App Engine services on your local computer. The SDK includes all of the APIs and libraries available on App Engine. The web server also simulates the secure sandbox environment, including checks for imports of disabled modules and attempts to access disallowed system resources.
The Python SDK is implemented in pure Python, and runs on any platform with Python 2.5, including Windows, Mac OS X and Linux. You can get Python for your system at the Python website. The SDK is available as a Zip file, and installers are available for Windows and Mac OS X.
You can download the SDK here.
The SDK also includes a tool to upload your application to App Engine. Once you have created your application’s code, static files and configuration files, you run the tool to upload the data. The tool prompts you for your Google account email address and password.
When you build a new major release of an application that is already running on App Engine, you can upload the new release as a new version. The old version will continue to serve users until you switch to the new version. You can test the new version on App Engine while the old version is still running.
The Administration Console is the web-based interface for managing your applications running on App Engine. You can use it to create new applications, configure domain names, change which version of your application is live, examine access and error logs, and browse an application’s datastore.
Quotas and Limits
Not only is creating an App Engine application easy, it’s free! You can create an account and publish an application that people can use right away at no charge, and with no obligation. An application on a free account can use up to 500MB of storage and up to 5 million page views a month.
During this preview period, only free accounts are available. In the near future, you will be able to purchase additional computing resources at competitive market prices. Free accounts will continue to be available after the preview period.
During this preview period, you can register up to 3 applications.
Application resource limits, or "quotas," are refreshed continuously. If your application reaches a time-based quota, such as bandwidth, the quota will begin refreshing immediately at the rate for the given limit. Fixed quotas such as storage use are only relieved when you decrease usage.
Some features impose limits unrelated to quotas to protect the stability of the system. For example, when an application is called to serve a web request, it must issue a response within a few seconds. If the application takes too long, the process is terminated and the server returns an error code to the user. The request timeout is dynamic, and may be shortened if a request handler reaches its timeout frequently to conserve resources.
Another example of a service limit is the number of results returned by a query. A query can return at most 1,000 results. Queries that would return more results only return the maximum. In this case, a request that performs such a query isn’t likely to return a request before the timeout, but the limit is in place to conserve resources on the datastore.