Book Image

Mastering Firebase for Android Development

By : Ashok Kumar S
Book Image

Mastering Firebase for Android Development

By: Ashok Kumar S

Overview of this book

Firebase offers a wide spectrum of tools and services to help you develop high-quality apps in a short period of time. It also allows you to build web and mobile apps quickly without managing the infrastructure.Mastering Firebase for Android Development takes you through the complete toolchain of Firebase,including the latest tools announced in Google IO 2018 such as Firebase ML-Kit, FireStore, and Firebase Predictions. The book begins by teaching you to configure your development environment with Firebase and set up a different structure for a Firebase real-time database. As you make your way through the chapters, you’ll establish the authentication feature in Android and explore email and phone authentication for managing the on-boarding of users. You’ll be taken through topics on Firebase crash reporting, Firebase functions, Firebase Cloud, Firebase Hosting, and Cloud Messaging for push notifications and explore other key areas in depth. In the concluding chapters, you will learn to use Firebase Test Lab to test your application before using Firebase Performance Monitoring to trace performance setbacks. By the end of the book, you will be well equipped with the Firebase ecosystem, which will help you find solutions to your common application development challenges.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Packt Upsell
Application Usage Measuring and Notification, Firebase Analytics, and Cloud Messaging
Bringing Everyone on the Same Page, Firebase Invites, and Firebase App Indexing
Making a Monetary Impact and Firebase AdMob and AdWords
Flexible NoSQL and Cloud Firestore
Analytics Data, Clairvoyant, Firebase Predictions


Well done! We have reached the final chapter and have learned about the latest tool introduced in Firebase. In this chapter, we have explored text recognition, face detection, and also barcode scanning. We have understood on-device and cloud-based models. We have also looked at creating TensorFlow Lite custom models.

Time led us here to explore ML Kit. We started by writing a real-time database and then we focused on understanding the file storage mechanism, push notifications, analytics and Test Lab, and so on.

By now, you should know which tool to use for the problem you are trying to solve using Firebase. This book has focused on all 18 tools. Each and every tool plays a major role in making your app better. It also addresses the famous categories in Firebase, which are development tools, stability tools, analytics tools, and growth tools. 

If you have any queries the tools in Firebase, feel free to reach out to me at

 You can also find me on GitHub and other social...