Runtime Engine
Runtime engine
The runtime engine powers decision execution at scale with speed and transparency.
Ensure fast, reliable decision execution
Enterprises face costly delays and compliance risk when decisions can’t run fast and consistently at scale. The InRule runtime engine delivers low-latency, predictable execution across environments, ensuring speed, reliability, and compliance without operational disruption.
Flexible deployment
Run rules in-process, externally, in containers, or with a JavaScript runtime to fit enterprise architectures.
Reliable performance
Execute with fast response times and consistent performance across demanding workloads.
Audit-ready governance
Every execution is logged and traceable, keeping decisions transparent and compliant.
With InRule, we’ve seen specific evidence of better decisions.
– Director of Application Development, Fortegra (specialty insurance)
Runtime engine in practice
Install and configure
Deploy the runtime engine using NuGet packages or container images, making it easy for developers to embed decision services into applications.
Expose decision services
Publish rules, processes, or models as decision services through REST APIs or event-driven integrations, so they can be consumed by any system.
Execute across environments
Run automation in-process for maximum performance, externally for flexibility, or in browsers, mobile, and Snowflake with the JavaScript runtime.
Scale elastically
Use containers and orchestration tools like Kubernetes to scale throughput as needed, from thousands to millions of executions per hour.
Monitor and refine
Leverage logs, telemetry, and tracing to monitor execution, troubleshoot quickly, and continuously improve performance and reliability.
Minimize execution time
Deliver close-to-the-metal performance
The runtime avoids delays from just-in-time (JIT) compilation.
Refined over many years, the engine executes deterministically with transaction performance in the low tens of milliseconds. This predictability keeps production decisions fast and consistent.
Minimize execution time
Run decisions at enterprise scale
Rules run in-process or externally to fit your architecture.
The engine sustains high volume and complex logic without lag. In-process execution delivers maximum performance inside enterprise systems, while external deployment provides flexibility and scale. Both approaches deliver consistent, reliable results under demanding workloads. Horizontal elasticity handles spikes without disruption.
Minimize execution time
Run rules with a JavaScript runtime anywhere
Rules execute in browsers, mobile endpoints, and data platforms like Snowflake.
InRule for JavaScript brings decision logic to the data, reducing latency and movement. InRule customers use it inside Snowflake procedures and edge applications for context-aware execution.
Resources
Explore the platform in action
Explore real-world examples of how organizations use InRule to unify rules, processes, and data. Read articles, watch webinars, and access expert insights on building transparent, adaptable automation.
