Determined is designed to easily integrate with other popular ML ecosystem tools for tasks that are related to model training, such as ETL, ML pipelines, and model serving. It is recommended to use the Python SDK to interact with Determined.
IDEs: Determined shells can be used in the popular IDEs similarly to a common remote SSH host.
Notifications: Make use of webhooks to integrate Determined into your existing workflows.
Prometheus & Grafana: Discover how to enable a Grafana dashboard to monitor Determined hardware and system metrics on a cloud cluster, such as AWS or Kubernetes.
Visit the Works with Determined repository to find examples of how to use Determined with a variety of ML ecosystem tools, including Pachyderm, DVC, Delta Lake, Seldon, Spark, Argo, Airflow, and Kubeflow.