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In a traditional three-tier model, like the last two patterns, there is a communication layer between the mobile app and the backend service.

You typically write authentication and data-validation code in this layer. In Firebase, you specify authentication and validation as declarative rules in the Firebase web UI, with no need to write code.

For more information, see Firebase Authentication in the Firebase documentation. In addition, these design patterns transition from a fully managed platform, Firebase, to a completely unmanaged platform, Compute Engine.

In managed platforms, Google handles tasks such as upgrades and autoscaling for you, but imposes some limitations on configuration.

In unmanaged platforms, you have full control over the configuration of your server, but must handle management tasks yourself.

Firebase is a fully managed platform for building iOS, Android, and web apps that provides automatic data synchronization, authentication services, messaging, file storage, analytics, and more.

Starting with Firebase is an efficient way to build or prototype mobile backend services. App Engine standard environment is an app platform that monitors, updates, and scales the hosting environment; all you need to do is write your mobile backend service code.

If your app needs to process user data or orchestrate events, extending Firebase with App Engine standard environment gives you the benefit of automatic real-time data synchronization.

Like App Engine standard environment, App Engine flexible environment is an app platform that monitors, updates, and scales the hosting environment; all you need to do is write your mobile backend service code.

The difference is that flexible environment runs your backend service inside Docker containers that you can configure.

This means you can call native binaries, write to the file system, and make other system calls. If your app needs to process user data or orchestrate events, extending Firebase with App Engine flexible environment gives you the benefit of automatic real-time data synchronization, without the need to run your code inside the App Engine sandbox.

This tutorial demonstrates how to write a mobile app with backend data storage, real-time synchronization, and user-event logging using Firebase.

Java servlets running in the App Engine flexible environment listen for new user logs stored in Firebase and process them.

With the client libraries generated by Endpoints, you can make direct API calls from your mobile app. Using Endpoints with App Engine gives you an app platform that monitors, updates, and scales the hosting environment.

A set of getting-started tutorials that show how to build the Hello Endpoints sample app that sends simple messages. The backend service is implemented on App Engine and exposed to the mobile app with Endpoints.

A sample app that demonstrates how to call a backend service running on App Engine to create a simple game. The Tic Tac Toe backend service is implemented in Java.

Compute Engine lets you create and run virtual machines on Google infrastructure. You have admin rights to the server and full control over its configuration.

This also means that you are responsible for updates and maintenance. There are two main protocols used to connect to Compute Engine instances: REST is the more established protocol.

The sample app, Stickynotes, sends text to the service, which responds by returning a generated image. An end-to-end sample that uses gRPC and protocol buffers to connect a mobile app to a backend service hosted on Compute Engine.

Google provides a variety of tools and services that you can use to build backend services that integrate with GCP services. For more information, see Cloud Tools for Android Studio.

You can use this repository for collaborative development of any app or service, including those that run on App Engine and Compute Engine.

If you are using Stackdriver Debugger, you can use Cloud Source Repositories and related tools in the GCP Console to view debugging information alongside your code during app runtime.

You can use Debugger to inspect the state of a Java app, at any code location, without stopping or slowing it down.

You can use Debugger on both production and staging instances of your app. If your backend service uses Firebase, the process to connect your mobile app to Firebase is the following:.

For walk throughs of how to do this, see the Getting started guides in the Firebase documentation. There are several protocols you can use to call a backend service from your mobile app.

For sample code that demonstrates how to use Endpoints in a backend service, see App Engine and Endpoints. You can use gRPC to make your mobile app more bandwidth-efficient and to reduce latency between your app and backend service running on GCP.

Notifications are an important feature of most mobile apps. You can use them to communicate with users, regardless of whether your app is open on their device.

Firebase Cloud Messaging FCM is a cross-platform messaging solution you can use to reliably deliver messages and notifications to client devices running your app.

One of the challenges of creating a mobile app is testing it on all possible device configurations. GCP provides tools to test your mobile app on both physical and virtual devices, as well as tools to test the security and performance of your backend service.

You can also configure your mobile app to work with a test backend service to isolate your production environment from any side effects caused by the tests.

For more information, see Supporting different environments in the Firebase documentation. In the beginning you will find three different bonuses.

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Each type has characteristics making it more appropriate for a particular phase of app development. A variety of models are available for each device type.

Virtual devices are high-fidelity virtual simulations of specific Android devices. These devices have the highest availability for scheduling and are most appropriate for day-to-day development or continuous testing.

Physical devices are actual, physical Android devices, installed and running in a Google data center. Tests on physical devices are most appropriate for pre-release testing, because they can help you to detect issues that might not occur when testing your app with virtual devices.

Cloud Security Scanner identifies security vulnerabilities in your App Engine web apps. It crawls your app, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible.

Cloud Security Scanner currently supports App Engine standard environment instances only. With Trace, you can find out how long it takes your app to handle incoming requests from users or other apps, and how long it takes to complete operations — specifically RPC calls — performed when handling the requests.

Health monitoring is done for you automatically by App Engine for the standard environment and flexible environment, both of which spin up new instances when necessary.

You can also configure autoscaling for Compute Engine to replace non-responsive instances. GCP also provides tools to collect and analyze logs and a monitoring dashboard that you can configure to send alerts when your app is performing outside of specified boundaries.

Logging collects and stores logs from apps and services on GCP. The Logs List shows the logs you can access. Integrate third-party logs from your virtual machine instances by installing the logging agent, google-fluentd.

Monitoring provides dashboards and alerts for your GCP apps. You configure Monitoring by using the Monitoring Console. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 3.

For details, see our Site Policies. Last updated January 2, Selecting a design pattern Building a backend service for a mobile app is similar to building a web-based service, with some additional requirements: Limit on-device data storage Synchronize data across multiple devices Handle the offline case gracefully Send notifications and messages Minimize battery drain The following design patterns demonstrate different ways to use GCP to create backend services that address these requirements.

The following table details the differences between these design patterns. Sending notifications with Firebase Cloud Messaging. Automated real-time data synchronization across multiple devices.

Gracefully handling the offline case. Authenticating users through a variety of identity providers. Rapid development of a backend service. Apps that need a backend service to modify the synchronized data.

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