Building Scalable Backend Service for Flutter Apps with Serverless Architectures

Samuel Adekunle

Mobile Engineer, 1app

FLUTTERBYTES CONFERENCE 2023 | PG 2

Agenda

Why Serverless for Flutter?

What is Serverless?

Serverless Providers

Integration with Flutter

Building Scalable Backend Services

Real-World Use Cases

Security and Authentication

Monitoring and Optimization

Key Takeaways

Resources to learn

Q & A

Appreciation

FLUTTERBYTES CONFERENCE 2023 | PG 2

Why Serverless for Flutter?

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Why Serverless for Flutter?

• Scalability and Performance: Serverless applications can scale automatically to meet demand, without the need for developers to manually intervene. This can help to improve the performance and reliability of your Flutter apps. Consider an E-commerce app, during a flash sale, there’s a sudden surge in traffic. With serverless, your backend automatically allocates more resources to handle the increased load. When the sale ends, it scales down, saving costs.�
• Reduced development and Cost-Efficiency: Serverless removes the need to provision and manage servers, which can save developers a significant amount of time and money. Imagine a startup building a social media app. In the early stages, user traffic is low and functionality is limited. Serverless pricing means you’re not paying for idle servers, and it allows you to rapidly create and deploy backend functions helping you conserve precious resources until your app gains popularity and reducing development time and accelerating time-to-market.�
• Flexibility and Reliability: Serverless apps are typically event-driven, which means that they can easily integrated with other services and systems. This makes them a good choice for developing complex and dynamic Flutter app. Serverless providers offer redundant infrastructure, ensuring that the app remains accessible even if one data center experiences downtime , guaranteeing high availability and reliability.

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In conclusion, serverless handles server management, letting you concentrate on perfecting the app’s frontend features and user interface

FLUTTERBYTES CONFERENCE 2023 | PG 2

What is Serverless?

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What is Serverless?

It’s often called “serverless” simply because developers don’t need to worry about server provisioning, scaling, or maintenance.

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In simple terms, serverless computing is a cloud computing execution model in which the cloud provider dynamically manages the allocation and provision of servers.

�In essence, it helps developers focus on writing code (functions) while the cloud provider manages the underlying infrastructure.

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One of the primary advantages of serverless is the elimination of server management tasks, allowing developers to focus solely on their application’s code

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Case Study: �Consider a real-time chat application; when there’s a sudden increase in users chatting, serverless functions can automatically scale to handle the spike in message processing. This ensures that the app remains responsive, and the cost is directly proportional to usage. This shows how serverless can efficiently manage resource allocation based on real-time demands, making it an ideal choice for many Flutter applications.

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Serverless Providers

Amazon Web Services (AWS) Lambda

Google Cloud Functions

Microsoft Azure Functions

Firebase Cloud Functions

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Note: All these serverless platforms supports Flutter integration

Choosing the right provider depends on factors such as specific project requirements, familiarity with the provider’s ecosystem, and cost considerations.

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Serverless Integration with Flutter

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A simple Flutter app with Firebase Cloud Functions using Node.js

Step 1: Set up your Flutter and Firebase Project

Step 2: Create a Firebase Cloud Function

• Install Firebase CLI if you haven’t already: “npm install -g firebase tools”
• Initialize Firebase in your project “firebase init” make sure to choose TypeScript (Node.js) as the language for your functions
• Deploy the Firebase Functions to Firebase: “firebase deploy –only functions”
• Create a simple Firebase Cloud Function. In you functions directory, open the index.ts file and add:

Firebase Functions samples

• Deploy the updated functions: �firebase deploy –only functions

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Call Firebase Cloud Function from Flutter

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• Make an HTTP request to the Firebase Cloud Function you created. You can use the http package to do this.�
• Call the callCloudFunction function in response to a user action or at an appropriate point in your app

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Firebase Functions samples

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Building Scalable Backend Services

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Building Scalable Backend Services

Simply speaking, scalable backend services are essential because it determines how your app will react during a spike. Here are some of the Best Practices for Scalability:

1. Modular and Microservice Architecture: Consider breaking your backend into microservices
2. Load Balancing: It ensures that incoming user request are evenly distributed across multiple servers, preventing overload
3. Caching: Cache the frequently requested data to reduce the need to repeatedly query the database.
4. Database Optimization: Proper indexing and query optimization ensure that data is quickly and efficiently retrieved
5. Asynchronous Processing
6. Auto-Scaling: it helps with automatically allocate more computing resources when traffic surges, ensuring that your app handles peak loads without hiccups

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Planning for Scalability:

• Anticipating Future Growth
• Properly Defining API contracts and Data Structures
• Monitoring and Performance Testing

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Real-World Utilization

• E-commerce Apps
• Social Media Platforms
• Ride-Sharing Apps
• Content Streaming Apps
• Healthcare and Telemedicine Apps
• Travel and Booking Apps
• Gaming Apps
• Educational Apps

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Security and Authentication

• User Authentication
• Two-Factor Authentication (2FA)
• Role-Based Access Control
• Data Encryption
• Secure API Endpoints
• Token-Based Authentication
• and so on.

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Security and Authentication

• Real-Time Performance Monitoring: APM (Application Performance Monitoring) solutions like New Relic or Sentry
• Crash Reporting - Firebase Crashlytics or Sentry
• User Analytics: Google Analytics or Mixpanel
• Load Testing: Apache JMeter or Locust for simulating heavy user loads
• Image and Media Optimization: ImageMagick or Cloudinary
• Regular Code Profiling: Tools like Flutter DevTools or Android Profiler
• Memory Management: You can use flutter analyze tool to identify memory issues

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Key Takeaways

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Key Takeaways

• 1. Scalability is Not an Afterthought:�Proactive planning is required in building a scalable Flutter apps and not just reaction to growth. By adopting modular architectures, load balancing, caching, and auto-scaling from the beginning, you can future-proof your apps and deliver a seamless experience to users as the app scales.�
• 2. Security and Authentication Are Paramount:�Robust security and authentication practices are non-negotiable in app development 2FA, roles-based access control, data encryption, and secure API endpoints are measures needed to protect user data and maintain user trust. A secure app is a successful app.�
• 3. Continuous Monitoring and Optimization Are Key to Success:�The journey doesn’t end with app launch. Continuous monitoring and optimization are essential for maintaining high performance and improving user satisfaction.

FLUTTERBYTES CONFERENCE 2023 | PG 2

Resources

• Get started with AWS in Flutter
• Get started with Cloud Functions
• Cloud Functions for Firebase Sample Library
• Creating a Serverless Live Streaming App Using Flutter and Mux
• Sample app
• How we Quickly Built a Serverless app with Firebase and Flutter
• How to integrate Flutter App with Azure Application Insights
• Tutorial: Send push notifications to Flutter apps using Azure Notification Hubs via a backend service

Q & A

Thank You

@techwithsam_