Setting Up Firebase Webhook Integration: 2 Easy Steps

on API, Firebase, Firebase Analytics, Firebase Crashlytics, HTTP, SaaS, Slack, Webhook • October 28th, 2021 • Write for Hevo

Firebase Webhook - FEATURE IMAGE

Development teams in companies always try to work with the latest, cost-effective, scalable, and easy-to-use technologies. Handling Databases is one of the core features of any web or mobile application. Accessing data, feeding the data directly to other functions, detecting data changes, etc., are some of the most common functionalities of any application.

Firebase is a NoSQL Database that comes with many Cloud Functions offered by Google to power your applications and help Developers easily push and pull data. It provides multiple language support to make it available for the developer’s community. Firebase Webhooks automates the workflow for companies and Developers by triggering the defined events via URL.

Firebase Webhooks Integration is the simplest and most efficient way to communicate between app and Firebase. It helps Developers get the notification for any updates, errors, application halts in their messenger application. In this article, you will have a brief introduction to Firebase, Webhooks, and learn the steps to Firebase Webhook Integration that will trigger Cloud Functions. You will also read about the benefits of Firebase Webhooks and how it helps save time and optimize the workflow.

Table of Contents

Prerequisites

  • An active Firebase Project.
  • An active Slack account.

Introduction to Firebase

Firebase Logo
Image Source

Firebase is a Backend as a Service (BaaS) by Google. It offers centralized Cloud Databases and storage facilities for applications that help Developers push and pull data hassle-free and use other Google Cloud Functions. It is a NoSQL Database program that stores data in JSON-like documents. 

Initially, Firebase was limited to Real-time Database services. Google acquired it in 2014, and after that many Cloud Functions as a backend solution started adding in features. Firebase offers services for developing, testing, and managing applications.

Key Features of Firebase

Firebase offers many features that allow Developers to easily build, test and deploy applications. A few features of Firebase are listed below:

  • Scalability: Firebase comes with Cloud Firestore that is a Real-time Database. It allows development teams to set up a flexible and scalable Real-time Database for their Mobile, Server, and Web Development activities.
  • Integrations: Firebase offers click-and-go integrations with Google and partnered products. Also, to enhance flexibility, it provides integration with many 3rd party apps and services.
  • Built-in Reporting: Firebase offers Real-time Analytics and Reporting of usage of the Database and other features. It helps Developers monitor the Firebase for up to 500 events. The reports help businesses understand how users of their applications behave, enabling them to make informed decisions regarding Performance Optimization, App Marketing, etc.
  • Serverless: Google Firebase offers flexible options for Scaling Servers up & down as per requirement by introducing a Serverless environment in which businesses only pay for the number of requests they make and hence, do not have to worry about the Server infrastructure.
  • Firebase Crashlytics: Firebase Crashlytics is a lightweight, real-time crash reporter that helps Developers track, monitor, prioritize and fix issues in the code.

To learn more about Firebase, click here.

Introduction to Webhooks

Webhooks logo
Image Source

Webhooks are one of the ways applications communicate with other apps or platforms. Webhooks trigger events when any change is detected for the defined set of rules. The process is similar to one how you receive a notification when any new message arrives. All the messages are delivered with the unique URL for every event triggered. On the other hand, in the URL, a listener is active that receives messages in JSON format, and if any event is bound to the message then it will automatically launch the event. 

Webhooks use HTTP requests to transfer data in the URL from one point o another endpoint. Once a condition is met for a specified event, it triggers the message from one endpoint and binds the message in the URL. Then the message is sent using the GET and POST methods to the other endpoint. Webhooks are generally used to connect to different platforms, and it is a cost-effective solution.

Simplify Data Analysis with Hevo’s No-code Data Pipeline

Hevo Data, a No-code Data Pipeline helps to load data from any data source such as Firebase Analytics, Databases, SaaS applications, Cloud Storage, SDK,s, and Streaming Services and simplifies the ETL process. It supports 100+ data sources including Firebase Analytics and 30+ data sources for free and is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo not only loads the data onto the desired Data Warehouse/destination but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code.

Get Started with Hevo for Free

Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensures that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well.

Check out why Hevo is the Best:

  1. Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
  2. Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
  3. Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
  4. Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
  5. Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
  6. Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, E-Mail, and support calls.
  7. Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
Sign up here for a 14-Day Free Trial!

Steps to Set Up Firebase Webhook Integration 

Now that you have understood about Firebase and Webhooks. In this section, you will learn the steps to Firebase Webhook Integration. For this, Firebase Crashlytics will be used which is a part of Firebase Cloud Functions. It allows Developers to get real-time notifications on errors, app crashes, etc. Slack App which is a messaging application used by companies will be used where you can get real-time notifications on your Firebase project. 

First, you have to enable Crashalytics in your Firebase project if you have not done it yet. On the Firebase Console page, go under the “Release and Monitor” section go to the Crashlytics. Then, enable it for your project and install all the dependencies needed from the documentation. Once the Crashlytics is active, you can finally go ahead to Firebase Webhook Integration. The steps for integrating Firebase Webhooks are listed below:

Step 1: Setting Up Slack Webhook

  • Log in to your Slack account here.
  • Now, create a new Slack app in the workspace, where you want to receive notifications for Firebase Crashlytics.
  • It will open up the feature page, and here you will see configurations for creating a new Slack app. 
  • Click on the “Incoming Webhooks” options, as shown in the image below.
Firebase Webhook Integration - Option for Incoming Webhooks in Slack
Image Source: Self
  • Here, toggle the “Activate incoming webhooks” on, as shown in the image below.
Firebase Webhook Integration - Activating Incoming Webhook in Slack for a New App
Image Source: Self
  • Now, click on the “Add new webhook to workspace” button to add a new Webhook for the Slack app, as shown in the image below.
Firebase Webhook Integration - Adding New Webhook to the Workspace
Image Source: Self
  • It will ask for the channel where you want to receive notifications. Select the channel and click on the “allow” button to authorize access to Slack.
  • Now a new Webhook URL will generate, copy it.

Step 2: Enabling Firebase Webhook Integration for Slack

  • Log in to your Firebase project that has Crashlytics enabled.
  • Go to the “Project Settings” located on top of the navigation sidebar, as shown in the image below.
Firebase Webhook Integration - Opening Project Settings in Firebase Console
Image Source: Self
  • Here, switch to the “Integration” tab, as shown in the image below.
Firebase Webhook Integration - Switching to the Integration Tab
Image Source: Self
  • Here, you will find apps few apps that support click-and-go integrations with Firebase Webhooks, as shown in the image below.
Firebase Webhook Integration - List of few apps for Firebase Integrations
Image Source: Self
  • Click on the “Install” option in the Slack card. This will install Slack for Firebase Webhooks, as shown in the image below.
Firebase Webhook Integration - Installing Slack App for Firebase Webhooks
Image Source: Self
  • The Configuration page for Firebase Webhook Integration for Slack will open up.
  • Here, paste the copied Slack Webhook URL in the “Slack incoming webhook URL” text field and fill in other information, as shown in the image below.
Firebase Webhook Integration - Setting Up Firebase Webhook and Slack Connection
Image Source: Self
  • Click on the “Verify & Save” button to save changes.
  • Now, you will receive a notification from your Slack channel for Firebase Webhook Integration, as shown in the image below.
Firebase Webhook Integration - Message on Slack for successful Integration of Firebase Webhooks with Slack
Image Source: Self

That’s it! You have completed Firebase Webhook Integration. You can use other apps such as Jira for similar use cases.

Benefits of Firebase Webhook Integration

Firebase Webhook Integration allows Developers to keep track of all the updates on application development. A few benefits of using Firebase Webhook Integration in application development are listed below:

  • With the help of Firebase Webhook Integration, you can get real-time updates on application development errors, issues, crash reports.
  • Firebase Webhook Integration notifies you when any specific event happens like the registration of a new user.
  • Automation can be achieved via Firebase Webhook Integration as it will automatically trigger specified events when any specified condition is met.

Conclusion 

In this article, you learnt about Firebase, Webhooks, and the steps to Firebase Webhook Integration. You also read about the benefits of using Firebase Webhook Integration in optimizing the workflow. Integrating Slack with Firebase Webhooks for Crashlytics is one of the use cases. There are many other useful applications of using Firebase Webhooks that can help trigger Cloud Function and automate the workflow for Developers.

Visit our Website to Explore Hevo

Firebase contains all the information related to applications development. It generates useful data via Firebase Analytics. Companies can use Firebase Analytics data with other operations and development data to analyze and optimize the workflow. Hevo Data is a No-code Data Pipeline that can help you transfer data from Firebase Analytics for free to desired Data Warehouse. It fully automates the process to load and transform data from 100+ sources to a destination of your choice without writing a single line of code. 

Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo suite first hand.

Share your experience of learning about Firebase Webhook Integration in the comments section below! 

No-code Data Pipeline For your Data Warehouse