At Ayika, various subsystems needed to effectively respond to different platform events, such as price negotiation updates and payment confirmations. To ensure accurate and timely responses across all dependent services, a centralized and flexible event-processing system was required. This led to the design and implementation of an event bus and process engine capable of real-time event handling, dynamic workflow automation, reduced processing delays, and enhanced system efficiency.
Key functionalities of this system include:
- Listening for predefined platform events (e.g., task creation, provider assignment, payment successes).
- Dynamically routing events to the appropriate subsystems.
- Allowing configurable event handlers so services can specify event processing methods and timing.
- Supporting retries and robust failure handling, ensuring that no critical event is lost.
Solution Development Process: I researched event-driven architectures used by industry leaders, ultimately designing a custom solution optimized for Ayika’s specific requirements. Leveraging message queues and distributed processing ensured that the system remained scalable, reliable, and capable of managing complex real-time workflows effectively.