Airport ServicesSystem TransformationMulti-Location Platform
A cloud-native operating system for airport hospitality
A global airport services operator running lounge, fast-track and meet-and-greet operations across 70 locations. The legacy infrastructure was analyzed from the ground up and moved to a cloud-native microservice architecture; field operations and finance were brought into the same reality.
- 1/5Current state: four services call each other synchronously; every request waits for the whole chain.
- 2/5The third service slows down. The chain backs up behind it; the failure spreads to every service above.
- 3/5Target: events are written to a backbone; every service consumes at its own pace.
- 4/5If one service stops, the flow does not: its events wait in the queue, the others keep processing.
- 5/5The service comes back and drains its queue. No event was lost; live traffic never stopped.
- 26 countries
- Global operations on a single central platform
- Months → Days
- Partner integration time
- Zero errors
- Financial processes with automated ERP integration
Problem
- Distributed monolith
- Reconciliation, capacity, pricing and shift planning ran on synchronous REST chains that triggered one another; the risk of a fault spread across the whole system.
- Manual processes
- Month-end billing and reconciliation were disconnected from operations.
- Slow onboarding
- Integrating a new partner took months.
Solution
- Event-driven microservices
- Asynchronous communication ended cascading outages.
- API-first partner gateway
- Standard partner APIs and a developer sandbox on a cloud API management layer.
- Data and observability
- A columnar analytics layer, end-to-end tracing on open telemetry standards, a dynamic pricing engine.
Technical notes
- Event-based service separation
- Partner APIs and sandbox on a cloud API management layer
- Columnar analytics layer
- End-to-end tracing on open telemetry standards
- Dynamic pricing engine
Related services
What comes next
Thanks to the event stream layer, the platform is ready for AI/ML models such as passenger load forecasting, smart coordinator assignment and real-time queue management.
Let’s assess your project.
If you are planning a transformation of high scale and architectural demand, we draw up the risk map together in the first meeting.