Building a Scalable, Serverless Integration Engine for Food Delivery Platforms
AntStack built a centralized, serverless engine to sync menus and orders for 3,000+ stores, using AWS.
AntStack built a centralized, serverless engine to sync menus and orders for 3,000+ stores. Using AWS, they achieved zero-server management and 90-second failover, making complex delivery logistics invisible and scalable.
Overview
The QSR industry relies on speed, but managing third-party delivery platforms like DoorDash and UberEats created a massive systems problem. Each platform uses different APIs and data models, making it difficult for brands to sync menus, pricing, and real-time availability across thousands of locations. AntStack designed a centralized integration engine to bridge the gap between internal restaurant systems and external platforms. This solution ensures that every order, menu update, and status change is handled reliably at a massive scale.
Technology
Scopes
Serverless Architecture Software Engineering Data Modeling Cloud-Native Development Event-Driven Architecture API Integration Multi-Tenant Architecture
3000+
Stores Deployed
0
Server Management
90
Second Auto-Failover
The Challenge
Traditional systems struggled with operational drag.
- Uneven traffic spikes during peak meal hours
- Manual capacity planning caused lag, leading to delayed orders
- Complex menu transformation across multiple platforms
- Inconsistent menu translation led to lost revenue
The Objective
The goal was to build a graceful, event-driven system that operates continuously at scale without maintenance windows.
- Achieve high observability through explicit workflow orchestration
- Ensure failure with grace via multi-region resilience
- Support multiple brands on a single codebase
- Eliminate all manual operational overhead
The Solution
Event-Driven Core: Used Amazon EventBridge and SQS to decouple components, allowing the system to absorb sudden traffic spikes instantly without manual intervention.
Stateful Orchestration: AWS Step Functions manage multi-step menu pushes and order injections, making complex execution paths visible and reliable.
Multi-Region Resilience: Deployed DynamoDB Global Tables and DNS-based failover to ensure high uptime and automatic recovery during regional outages.
The Impact
The Antstack team played a significant role in overcoming the challenges
- Rapid Deployment: Scaled to 3,000+ locations in 90 days, a velocity impossible with traditional infrastructure
- Operational Efficiency: Achieved zero managed servers and eliminated capacity planning sessions
- Reliable Performance: Distributed throttling respects platform rate limits while processing thousands of concurrent API calls
- Scalability: Fault isolation is inherent, ensuring that peak demand does not degrade the system or impact revenue
Caption 1.1: This image shows the end-to-end architecture of the Integration Engine
