Boost Identity Verification: Telemetry Enhancement

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Identity verification workflows involve interconnected client SDKs, server APIs, and third-party services, making detailed telemetry essential for diagnosing failures, monitoring performance, and improving user experience. Useful telemetry includes SDK versions, device and network information, API latency, event timestamps, error details, and document-capture quality metrics, enabling teams to trace problems such as failed document capture, fraud-check delays, or connectivity issues. The post recommends using unique transaction IDs, accurate timestamps, cross-system data correlation, retry mechanisms, and idempotent APIs to manage delayed or out-of-order events in distributed systems. Monitoring API request rates, response times, error rates, throughput, and endpoint usage through tools such as Prometheus, Grafana, and Datadog can support proactive alerting and reduce resolution time. Didit presents its platform as offering built-in real-time analytics, session management, audit logs, alerts, and workflow monitoring to help organizations investigate and optimize identity verification processes.

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