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Valohai documentation
  • Tutorials
    • Learning paths
      • Valohai fundamentals
        • Setting up
        • Getting started
        • Upload output data
        • Use parameters
        • Download input data
        • Collect and view metrics
        • Define your steps in Python
        • Recap
      • Valohai pipelines
        • Getting started
        • Defining a pipeline in the valohai.yaml
        • Running a pipeline
        • Creating a pipeline with valohai-utils
        • Advanced pipeline features
        • Recap
    • Valohai 101
      • Creating a pipeline
      • Deployments
        • Deploying a model for online inference
        • Batch inference on CSVs
        • Batch inference on images
    • Jupyter Notebooks
    • Valohai APIs
      • Valohai API basics
      • Fetching failed executions
      • Downloading metadata of a single execution
      • Triggering an execution after a push to a code repository
    • Valohai command-line client valohai-cli
      • Using the valohai-cli
      • Choosing environment though valohai-cli
      • Using data inputs with valohai-cli
    • Example projects
      • Keras example project
      • R example project
      • TensorFlow example project
      • Valohai API tutorial
  • How-to guides
    • Connect to a Git repository
      • Integrating with GitHub
      • Integrating with Bitbucket
      • Integrating with GitLab
      • Integrating with Azure DevOps
      • Access multiple Git repositories in a project
        • Clone a repository during an execution
    • Work with data
      • Add a cloud data store
        • Add Azure Blob Storage
        • Add Google Cloud Storage
        • Add AWS S3
        • Add OpenStack Swift
      • Save files from trainings
      • Attach tags and metadata to your files
      • Data aliases
      • Datum adoption
      • Upload data to Valohai
      • Mounting a network file system (NFS)
      • Access Redshift from an execution
      • Access BigQuery from an execution
    • Bring your existing projects to Valohai
      • Add a valohai.yaml configuration file
      • Input and output data
      • Collect metadata
      • Define Valohai parameters
    • Docker images
      • Access a private Docker repository
      • Popular Docker images for notebook executions
      • Build your own Docker image
    • Compare executions
    • Save graphs from executions
    • Tasks
      • Running a grid search
      • Using the Bayesian optimizer
    • Notifications
      • Email notifications
      • Webhooks
    • Pipelines
      • Schedule pipelines
      • Run a task inside a pipeline
      • Create pipelines with valohai-utils
    • Remote access (SSH)
      • Debug from VSCode
      • Debug from PyCharm
    • Organization settings
      • Environments
        • Configure environments and scaling rules
        • Change your organizations default environment
        • Manage team quotas for environments
        • Choose which environments are available
      • Users and teams
        • Add users to your organization
        • Create teams in your organization
      • Billing & credit card
      • Integrating with Azure Active Directory
    • Deployments
      • Testing your deployment endpoints
      • Reading deployment version metadata
      • Using environment variables to configure endpoint behavior
      • Monitoring your deployment endpoints
      • Debugging failing deployments
    • Using with Airflow Pipelines
    • Deploy Valohai in your environment
      • Deploy to AWS
        • Deploy to AWS manually
        • Frequently Asked Questions
        • Deployment Cluster on AWS
          • Setting up HTTPS on a deployment cluster
      • Deploy to GCP
        • Deploy to GCP manually
        • Frequently Asked Questions
      • Deploy to Azure
        • Frequently Asked Questions
      • Deploy on-premise
      • Deploy a self-hosted Valohai
      • Setting up a shared cache for Valohai workers
  • Topic guides
    • Core concepts
      • Projects
      • Valohai YAML
      • Step
      • Executions
      • Parameters
      • Data stores
      • Tasks
      • Pipelines
      • Deployments
      • Notebooks
    • Workload management
      • Creating executions
      • Placeholder-based configuration
      • File-based configuration
      • Variable-based configuration
      • Real-time logging
      • Creating visualizations
      • Downloading files to executions
      • Uploading files from executions
      • Live outputs
    • Architecture overview
    • Reproducibility and lineage
    • valohai-utils Toolkit
      • valohai.prepare()
      • valohai.parameters()
      • valohai.inputs()
      • valohai.outputs()
      • valohai.metadata.logger()
  • Reference guides
    • valohai.yaml config file
      • step
      • step.name
      • step.image
      • step.command
      • step.parameters
      • step.inputs
      • step.environment
      • step.environment-variables
      • Special environment variables
      • pipeline
      • pipeline.nodes
      • pipeline.edges
      • endpoint
      • endpoint from a command
      • endpoint from a WSGI definition
      • Examples
    • valohai-cli command-line
      • vh environments
      • vh execution
      • vh init
      • vh lint
      • vh login
      • vh logout
      • vh parcel
      • vh project
      • vh update-check
    • Valohai API
    • Valohai API documentation

EnvironmentsΒΆ

  • Configure environments and scaling rules
  • Change your organizations default environment
  • Manage team quotas for environments
  • Choose which environments are available
Next
Configure environments and scaling rules
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Organization settings
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