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Environments Admin

Overview​

An Environment in Datacoves defines a data stack and associated settings for a given project. These data stacks are isolated from each other and can be created for long term or temporary use to perform some tests such as to try out a new version of dbt with your project.

These environments are displayed on the launchpad to users that have the proper permission for the given environment.

tip

See our How To - Environments

Launch Pad

Environment Listing​

Environments Listing

On the Environments landing page you can see a list of environments associated with each of your Datacoves projects.

For each environment we can see the associated project, the name of the environment to be displayed on the landing page, and the number of associated service connections.

Each row contains 2 action buttons, Edit and Delete.

AI Tools​

When editing an environment that has VS Code enabled, the AI Tools tab controls the AI assistants and the data systems they can reach. It has three sections:

  • AI Extensions - enable or disable the built-in AI extensions, such as Datacoves Copilot and GitHub Copilot.
  • AI Tools - enable or disable the AI CLI tools, such as OpenAI Codex and Snowflake Cortex (Cortex is only shown on Snowflake environments, where it is always on).
  • MCP Servers - enable or disable the MCP servers (GitHub, Airflow, Grafana, and Snowflake) that give the AI tools read access to your repositories, DAGs, metrics and logs, and Snowflake data.
note

The Grafana (Prometheus & Loki) MCP server only appears when the observability stack is enabled for the cluster.