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Pipekit is for platform, data, and ML teams that need to operate Argo Workflows across Kubernetes clusters without building their own management layer. It adds a shared dashboard and self-service access for running and managing data and CI pipelines, while workflows continue to execute on your clusters. Teams can use Pipekit to review workflow runs, search logs, inspect metrics, and troubleshoot or rerun pipelines. It also provides multi-cluster management, role-based access controls, workspace and environment settings, and secrets management. Pipekit can be used as a hosted control plane or self-hosted, including for air-gapped deployments.
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