# Expanse

## Docs

- [Architecture](https://docs.expanse.sh/architecture.md): How Expanse captures workload evidence, trains its own models, and manages your data.
- [CLI Reference](https://docs.expanse.sh/cli/overview.md): Every command the Expanse CLI exposes.
- [Computes](https://docs.expanse.sh/concepts/computes.md): What a compute is and what Expanse supports.
- [Intelligence](https://docs.expanse.sh/concepts/intelligence.md): Resource predictions and failure diagnosis grounded in your compute's own history.
- [Telemetry](https://docs.expanse.sh/concepts/passive-telemetry.md): Every workload on your compute, captured automatically.
- [Authentication](https://docs.expanse.sh/deployment/authentication.md): How Expanse authenticates users.
- [Introduction](https://docs.expanse.sh/index.md): Expanse is the intelligence layer for HPC compute. Resource predictions, failure diagnostics, and waste visibility for every workload your compute estate runs.
- [Cloud Batch](https://docs.expanse.sh/integrations/cloud-batch.md): Capture AWS Batch, AWS SageMaker Training Jobs, Azure Batch, Azure ML Jobs, Google Batch, and Vertex AI Custom Training workloads in Expanse.
- [Console](https://docs.expanse.sh/integrations/console.md): The Expanse web dashboard.
- [Databricks](https://docs.expanse.sh/integrations/databricks.md): Capture Databricks Jobs and Mosaic AI Training telemetry in Expanse.
- [Nomad](https://docs.expanse.sh/integrations/nomad.md): Capture HashiCorp Nomad allocation telemetry in Expanse.
- [YARN](https://docs.expanse.sh/integrations/yarn.md): Capture Apache Hadoop YARN, AWS EMR, Google Dataproc, Azure HDInsight, and Cloudera CDP workloads in Expanse.
- [Quickstart](https://docs.expanse.sh/quickstart.md): Install the CLI, register your first compute, and run your first analyse.

## OpenAPI Specs

- [openapi](https://docs.expanse.sh/api-reference/openapi.json)

## Optional

- [GitHub](https://github.com/expanse-labs)
- [Console](https://console.expanse.sh)