Uber like App on AWS Serverless Cloud Architecture

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🧠 DEEP DIVE USE CASE

Uber like App on AWS Serverless Cloud Architecture

Apps like Uber, Lyft, or Ola have made real-time ride matching feel effortless. You tap a button and within seconds you're paired with a nearby driver, watching them move toward you on the map.

But behind that smooth experience is a system handling real-time location updates, distributed coordination, payments, state transitions, and user communication, all under unpredictable traffic.

In this edition, I’ll break down how I designed a fully serverless backend for a ride-hailing platform, focusing on scale, reliability, and real-time responsiveness.

Here, I’ve created the design document covering the components and the end-to-end flow.

Download a copy of this image here for future reference.

Architecture Diagram:

Here is the complete architecture designed purely with AWS serverless services and integrators. Let's dig into the most crucial core of this.

1. User Auth

This part seems straightforward but has serious implications on user security, API protection, and long term flexibility.

  • Cognito offloads user management and token handling, keeping your Lambdas stateless and focused.

  • API Gateway uses Cognito Authorizers to validate the JWT before invoking the Lambda.

  • Decoupling auth this way gives flexibility to change auth logic without impacting core business flows.

Blind Spots to Watch

  • API Gateway endpoints without authorizers can be exposed unintentionally. Always audit.

  • Misconfigured user pools can allow weak passwords or open sign-ups if defaults are not overridden.

  • Mobile apps must refresh and handle token expiry correctly to avoid authentication drift.

  • Logging anything related to user identity without masking tokens can become a liability.

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