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  • About Workbench
  • Preparing an environment for Workbench
    • Preparing a K3s environment for Workbench
    • Preparing a BYOK8s environment for Workbench
    • Environment-specific recommendations
      • Azure Kubernetes Service
      • Amazon Elastic Kubernetes Service
      • Google Kubernetes Engine
      • OpenShift Container Platform
      • RedHat OpenShift Service on AWS (ROSA)
      • NFS Storage Recommendations
    • Preparing a Gravity environment for Workbench
  • Installing Workbench
    • K3s installation
    • Bring Your Own Kubernetes (BYOK8s) Installation
    • Gravity Installation
    • Post-install configuration
    • Updating TLS/SSL certificates
    • Upgrading Workbench
      • Upgrading Workbench on Gravity
      • Bring Your Own Kubernetes (BYOK8s) Upgrade
      • Backing up and restoring Workbench
      • Migrating from Gravity to K3s
      • Migrating from Gravity to Bring Your Own Kubernetes (BYOK8s)
      • Uninstalling Workbench
      • Uninstalling Workbench and K3s
      • Uninstalling Workbench on BYOK8s
      • Keycloak Upgrade
  • Administering Workbench
    • Managing cluster resources
      • Gravity Monitoring
        • Adding and removing nodes
        • Monitoring cluster utilization
        • Monitoring sessions and deployments
        • Viewing system logs
        • Viewing activity logs
      • System metrics
      • Configuring workload resource profiles
      • Fault tolerance in Workbench
    • Configuring user access
      • Connecting to external identity providers
      • Managing users
      • Roles and groups
      • Managing System Administrators
      • Configuring session timeouts
      • Enabling brute force protection
      • Establishing an LDAP connection
      • Google IAM setup example
    • Configuring channels and mirrors
      • Configuring conda in Workbench
      • Managing channels and packages
      • Mirroring channels and packages
    • Configuring persistent environments and sample projects
    • Generating custom Anaconda installers
    • Advanced platform settings
      • Configuring platform settings
      • Setting global config variables
      • Changing the database password
      • Workbench CLI
      • Changing the platform redirect URLs
      • Apache Livy and Workbench
      • Configuring Livy server for Hadoop Spark access
      • Adding Anaconda Assistant to Workbench
      • Adding VSCode to Workbench
      • Adding RStudio to Workbench
      • Adding MLflow to Workbench
      • Connecting to an external version control repository
      • Migrating projects between version control repositories
      • Mounting an external file share
      • Disabling sudo for yum
      • Specifying alternate wildcard domains
      • Connecting to external Postgres
      • Migrating from Anaconda Enterprise 4 to Workbench
  • Using Workbench
    • Projects
      • Working with projects
      • Branching and merging
      • Project tagging
      • Project sessions
      • Project configurations
      • Project collaboration
      • Project logs
    • Project templates
      • Python templates
      • R templates
      • Hadoop / Spark
    • Working with channels and packages
      • Building a conda package
      • Channels and packages
      • Configuring conda
    • Using installers, parcels and management packs
    • Working with data
      • Loading data into your project
      • Exploring project data
      • Data preparation
      • Using statistics
    • Deployments
      • Deploying a REST API
      • Deploying a Flask application
      • Sharing deployments
      • Scheduling deployments
      • Terminating a deployment
      • Deployment logs
    • Using GPUs in sessions and deployments
    • User settings
    • Secrets
    • Configuring user access to external version control
    • Visualizations and dashboards
    • Machine learning and deep learning
      • Developing models
      • Training models
      • Deploying models as endpoints
      • Querying and scoring models
  • Troubleshooting
  • Reference materials
    • Release notes
    • Known issues
    • Frequently asked questions
    • Understanding Workbench system requirements
    • Gravity update policy
    • Project reproducibility in Workbench
  • Using Workbench

Using Workbench#

  • Projects
  • Project templates
  • Working with channels and packages
  • Using installers, parcels and management packs
  • Working with data
  • Deployments
  • Using GPUs in sessions and deployments
  • User settings
  • Secrets
  • Configuring user access to external version control
  • Visualizations and dashboards
  • Machine learning and deep learning

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Migrating from Anaconda Enterprise 4 to Workbench

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