Clouder

Clouder is the infrastructure and operations layer for running Datalayer services on Kubernetes.

It helps platform teams provision clusters, bootstrap core cloud integrations, and deploy services with repeatable CLI and Terraform workflows.

• Provision Kubernetes environments for Datalayer on cloud or local infrastructure.
• Bootstrap kubeadm clusters with cloud-aware storage and networking integrations.
• Deploy and operate Datalayer services with Plane and Helm.
• Keep deployments reproducible through Terraform and generated helper scripts.

Clouder is the Kubernetes path for the operational model of Datalayer that helps teams run managed AI agents for data analysis with speed, control, and confidence:

• 90% fewer tokens with code-first execution plans.
• 2x faster execution with fewer model round-trips.
• Built-in guardrails, approvals, and auditable traces.
• Portable, versioned specs across models and providers.

Start here based on your goal:

• Understand the platform model: Architecture
• Provision infrastructure and clusters: Setup
• Deploy and operate services: Services
• Run day-to-day commands: CLI Reference

If you are new, follow the Setup guide in order, then use Services and CLI as your operational playbook.

Install

pip install clouder

Clouder is released in PyPI.