Key components
Large-scale simulation and analysis
Cloud Engine provides scalable, reliable execution of large-scale parallel simulation for any simulator, with orchestration across cloud and hardware-in-the-loop (HIL) environments. View assessment results, evaluate software performance, and integrate with Validation Toolset for enhanced insights across system requirements and operational design domain (ODD) taxonomy.
CI pipelines
Integrate with existing build systems (e.g., Jenkins) to automate scenario-based testing with CI pipelines. Run automated commit-blocking regression tests for every code change, configure larger scheduled assessments for integration and progression testing, and use the Cloud Engine web application to view results and debug issues.
Cloud-based simulation workflows
Create and manage scenario-based tests at scale in the cloud, with collaborative workflows for version control, test management, and test result analysis. Users can share, comment, and debug collaboratively and compare results across software versions over time.
Interoperable, configurable infrastructure
Cloud Engine uses Kubernetes to run on AWS, Azure, Google Cloud, and on-premise, with configurable infrastructure and tools to manage cloud costs. Engineers can also trigger tests and fetch results through well-defined APIs. Cloud Engine integrates seamlessly with local environments for local-to-cloud and cloud-to-local workflows.
Key components
Large-scale simulation and analysis
Cloud Engine provides scalable, reliable execution of large-scale parallel simulation for any simulator, with orchestration across cloud and hardware-in-the-loop (HIL) environments. View assessment results, evaluate software performance, and integrate with Validation Toolset for enhanced insights across system requirements and operational design domain (ODD) taxonomy.
CI pipelines
Integrate with existing build systems (e.g., Jenkins) to automate scenario-based testing with CI pipelines. Run automated commit-blocking regression tests for every code change, configure larger scheduled assessments for integration and progression testing, and use the Cloud Engine web application to view results and debug issues.
Cloud-based simulation workflows
Create and manage scenario-based tests at scale in the cloud, with collaborative workflows for version control, test management, and test result analysis. Users can share, comment, and debug collaboratively and compare results across software versions over time.
Interoperable, configurable infrastructure
Cloud Engine uses Kubernetes to run on AWS, Azure, Google Cloud, and on-premise, with configurable infrastructure and tools to manage cloud costs. Engineers can also trigger tests and fetch results through well-defined APIs. Cloud Engine integrates seamlessly with local environments for local-to-cloud and cloud-to-local workflows.
.webp)
.webp)
