Scaling Didit Webhook Consumers with Kubernetes and KEDA

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Didit recommends a scalable, event-driven architecture for processing real-time identity-verification webhooks, which can vary sharply in volume and require rapid, reliable handling for compliance and user experience. The approach packages webhook consumers in Docker containers for consistent deployment, runs them on Kubernetes for automated lifecycle management, high availability, networking, and self-healing, and uses KEDA to scale consumers according to message-queue depth rather than CPU or memory alone. Incoming Didit webhooks can be signature-verified with HMAC, quickly acknowledged, and placed in a queue for asynchronous processing, reducing timeout risks, preserving events during failures, and allowing capacity to expand during surges and contract when demand falls. Didit supports this design through API-configurable webhooks, recommended v3 payloads, secret-key rotation, and notifications across identity, liveness, AML, address, age-estimation, and face-matching workflows.

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