OSMO Service

The helm chart deploys the core service component for NVIDIA OSMO, which acts as the central orchestration engine for robotics workflows. The service coordinates job scheduling, resource management, dataset operations, API endpoints, and acts as the primary backend for both web UI and CLI interactions with the platform. It is designed to manage and scale heterogeneous robotics workloads across different types of compute resources.

This chart utilizes several containers as key building blocks, ensuring seamless integration and high availability for production-scale robotics development environments.

Containers Used

The NVIDIA OSMO Service chart deploys and integrates the following containers:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Container Name	Description
service	Core service API container for orchestration and job management.
web-ui	Browser-based frontend for managing workflows, datasets, resources, and cluster status.
router	Enables `kubectl exec` and port-forwarding for workflows through the merged service chart.
worker	Processes workflows and schedules jobs via the service.
logger	Streams logs in real-time from jobs and workflows for monitoring and troubleshooting.
init-container	Initializes the environment and prepares the controller before workflow task startup in backend cluster.
client	CLI client container to interact with the platform APIs and workflows when a workflow task startup in backend cluster.
agent	Processes jobs as Kubernetes objects, enabling seamless integration of user workflows into the cluster.
delayed-job-monitor	Monitors jobs for timeouts and automatically cleans up jobs that exceed allowed durations.
authz-sidecar	Evaluates user roles and access for service and gateway requests.

These containers together provide the core API endpoints, browser UI, routing, workflow execution, logging, initialization, authorization, and user access for the orchestration platform.

For deployment instructions, see the Deployment Guide.

License:

By pulling and using NVIDIA OSMO artifacts, you accept the terms and conditions of the License.

Suggested readings:

GitHub Repo
\nDocumentation
\nDeployment Documentation
\nSupport

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The service coordinates job scheduling, resource management, dataset operations, API endpoints, and acts as the primary backend for both web UI and CLI interactions with the platform. It is designed to manage and scale heterogeneous robotics workloads across different types of compute resources.\n\nThis chart utilizes several containers as key building blocks, ensuring seamless integration and high availability for production-scale robotics development environments.\n\n## Containers Used\n\nThe NVIDIA OSMO Service chart deploys and integrates the following containers:\n| Container Name | Description |\n|:----------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------|\n| [service](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/service) | Core service API container for orchestration and job management. |\n| [web-ui](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/web-ui) | Browser-based frontend for managing workflows, datasets, resources, and cluster status. |\n| [router](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/router) | Enables `kubectl exec` and port-forwarding for workflows through the merged service chart. |\n| [worker](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/worker) | Processes workflows and schedules jobs via the service. |\n| [logger](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/logger) | Streams logs in real-time from jobs and workflows for monitoring and troubleshooting. |\n| [init-container](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/init-container) | Initializes the environment and prepares the controller before workflow task startup in backend cluster. |\n| [client](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/client) | CLI client container to interact with the platform APIs and workflows when a workflow task startup in backend cluster.|\n| [agent](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/agent) | Processes jobs as Kubernetes objects, enabling seamless integration of user workflows into the cluster. |\n| [delayed-job-monitor](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/delayed-job-monitor) | Monitors jobs for timeouts and automatically cleans up jobs that exceed allowed durations. |\n| [authz-sidecar](https://registry.ngc.nvidia.com/orgs/nvidia/teams/osmo/containers/authz-sidecar) | Evaluates user roles and access for service and gateway requests. |\n\n\nThese containers together provide the core API endpoints, browser UI, routing, workflow execution, logging, initialization, authorization, and user access for the orchestration platform.\n\nFor deployment instructions, see the [Deployment Guide](https://nvidia.github.io/OSMO/main/deployment_guide/getting_started/deploy_service.html).\n\n# License:\n\nBy pulling and using NVIDIA OSMO artifacts, you accept the terms and conditions of the [License](https://github.com/NVIDIA/OSMO/blob/main/LICENSE).\n\n\n# Suggested readings:\n\n[GitHub Repo](https://github.com/NVIDIA/OSMO) \n[Documentation](https://nvidia.github.io/OSMO/main/user_guide/index.html) \n[Deployment Documentation](https://nvidia.github.io/OSMO/main/deployment_guide/index.html) \n[Support](https://github.com/NVIDIA/OSMO/issues)","OSMO 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