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Data Science Environments

Modular, reproducible infrastructure for your data science teams.
Mix and match components to build your ideal platform.

Infrastructure as code. Idempotent deployments. Full customization.

Deployment Environments

Single Server

Perfect for small to medium teams. All components on one or two individual servers.

  • Cost-effective for teams up to 10 users
  • In the cloud or on-premise
  • Installed and configured through Ansible playbooks

Kubernetes

Enterprise-grade, scalable infrastructure for large organizations.

  • Auto-scaling based on workload
  • High availability and fault tolerance
  • Deployment via Helm charts & GitOps

Modular Components

Build your dream data science platform. Choose components that fit your workflow.

Infrastructure as Code

Every deployment is idempotent and reproducible. Your entire infrastructure defined as code.

Ansible Automation

  • • Custom roles for each component
  • • Automated configuration management
  • • Consistent deployments across environments
  • • Built-in security hardening

OpenTofu/Terraform

  • • Cloud-agnostic infrastructure provisioning
  • • State management and drift detection
  • • Modular, reusable configurations
  • • GitOps-ready with version control

Why go with our DSE approach?

Modular Architecture

Mix and match components. Start small, scale as needed. No vendor lock-in.

Enterprise Security

LDAP/AD integration, SSO support, role-based access control, audit logging.

Reproducible Deployments

Infrastructure as code ensures consistent, repeatable installations every time.