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24.4
24.4
  • 🏠Introduction
    • Vectice overview
      • Autolog
      • AskAI
      • Vectice for financial services
  • 🏁Quickstart
    • Getting started
    • Quickstart project
    • Tutorial project
    • FAQ
  • ▶️Demo Center
    • Feature videos
  • 📊Manage AI/ML projects
    • Organize workspaces
      • Create a workspace
      • Workspace Dashboard
    • Organize projects
      • Create a project
      • Project templates best practices
    • Define phase requirements
    • Invite colleagues
    • Collaborate with your team
  • 🚀Log and Manage Assets with Vectice API
    • API cheatsheets
      • Vectice Python API cheatsheet
      • Vectice R API cheatsheet
    • Connect to API
    • Log assets to Vectice
      • Autolog your assets
      • Log datasets
      • Log models
      • Log attachments and notes
      • Log code
      • Log a custom data source
      • Log assets using Vectice IDs
      • Log dataset structure and statistics
      • Log custom metadata in a table format
      • Log MLFLow runs
    • Retrieve assets from app
    • Manage your assets
    • Manage your iteration
    • Preserve your code and asset lineage
  • 🤝Create Model documentation and reports
    • Auto-document models with AskAI
    • Streamline documentation with Macros
    • Create model documentation with Vectice Reports
    • Document phase outcomes
  • 🗂️Admin Guides
    • Organization management
    • Workspace management
    • User management
      • User roles and permissions
      • Update a user role in your organization
      • Activate and deactivate users
      • Reset a user's password
  • 🔗Integrations
    • Integrations Overview
    • Integrate Vectice with your data platform
  • 💻IT & Security
    • IT & Security Overview
    • Secure Evaluation Environment Overview
    • Deployment
      • SaaS offering (Multi-Tenant SaaS)
      • Kubernetes self-hosted offering
        • General Architecture & Infrastructure
        • Kubernetes on GCP
          • Appendices
        • Kubernetes on AWS
          • Appendices
        • Kubernetes on Azure
          • Appendices
        • GCP Marketplace deployment
        • On premise
        • Configuration
    • User management
    • SSO management
      • Generic SAML integration
      • Okta SSO integration
    • Security
      • Data storage security
      • Network Security
        • HTTPS communication
        • Reverse proxy
        • CORS/CSRF
        • VPC segregation
      • Sessions
      • Secrets and certificates
      • Audit logs
      • SOC2
      • Security updates
      • Best practices
      • Business continuity
    • Monitoring
      • Installation guide
      • Customizing the deployments
    • Maintenance & upgrades
    • Integrating Vectice Securely
  • ⭐Glossary
    • Concepts
      • Workspaces
      • Projects
        • Setup a project
      • Phases
      • Iterations
        • Iterative development
      • Datasets
        • Dataset resources
        • Dataset properties
        • Dataset lineage and versions
      • Models
      • Reports
  • 🎯Release notes
    • Release notes
  • ↗️References
    • Vectice Python API Reference
    • Vectice R API Cheatsheet
    • Notebooks and code samples
    • Vectice website
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  1. IT & Security

Deployment

PreviousSecure Evaluation Environment OverviewNextSaaS offering (Multi-Tenant SaaS)

Vectice has versatile deployment options to suit your needs. Choose our secure, scalable SaaS platform to focus on your code while we manage the servers. For those seeking ultimate control and customization, our self-hosted solution powered by Kubernetes provides the flexibility to deploy on-premise.

  • Effortless SaaS: Focus on code, not servers. Our scalable, secure SaaS platform simplifies development. Learn more about .

  • Flexible Self-Hosted: Kubernetes power, your control. Deploy on-premise for ultimate customization. Learn more about .

💻
our SaaS offering
our Kubernetes self-hosted offering