Expanding Multilingual Interoperability in the COGNIT Device Runtime

Modern cloud-edge applications need to run efficiently across highly diverse environments. But for most serverless frameworks, it remains a major challenge to support multiple programming languages in a consistent, secure, and scalable way.

This white paper describes how to extend the existing runtime architecture beyond Python and C, enabling support for additional languages such as Rust, Go, Java/Kotlin, JavaScript/TypeScript, and C++ without breaking interoperability or increasing system complexity.

What you’ll learn:

• A stable, language-agnostic protocol built on JSON-over-HTTPS and standardized REST endpoints
• How function serialization differs across languages while preserving a unified execution model
• Integration strategies, including native implementations, FFI-based bindings, and lightweight sidecar approaches
• Security, footprint, and portability considerations for edge-constrained environments
• Required evolution of the server-side runtime to support true multi-language execution

By following this approach, you can build once and deploy anywhere—choosing the best language for each workload while keeping behavior, security, and performance consistent across the entire cloud-edge continuum. This helps reduce integration overhead, improve portability, and unlock a more flexible and scalable serverless ecosystem.