Identity Orchestration: Building with Open Source
Blog post from Didit
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 orchestration is emerging as a solution to the complexities of identity verification in the digital landscape, offering businesses flexibility, scalability, and security by integrating multiple verification services into a cohesive workflow. This approach, preferred over monolithic vendor solutions, allows for the easy swapping of verification components without system disruption and leverages open-source tools for cost efficiency and control, albeit requiring in-house expertise. Key components of building an identity orchestration engine include Apache NiFi for workflow automation, Apache Kafka for real-time data streaming, and Kubernetes for managing microservices, each responsible for specific verification tasks. This architecture supports asynchronous, event-driven communication and scalability, allowing organizations to customize workflows to meet specific business needs and risk profiles. Didit enhances this setup by providing APIs and SDKs that integrate seamlessly with the open-source identity orchestration engine, focusing on core identity verification functions such as ID verification and AML screening, thus enabling businesses to streamline the orchestration process while maintaining high performance and transparent pricing.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 7 | 7,450 | 1,704 | 292 | -47% |
| Kubernetes | 4 | 2,407 | 415 | 121 | -3% |
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