Yes, there are a couple of ways to organize your deployments in the UI: 1. Tags: You can add tags to your deployments when creating them, which you can then use to filter and organize in the UI. For example:

python
flow.from_source(...).deploy(
    name="my-deployment",
    tags=["prod", "etl", "finance"]
)

2. Naming Conventions: While not a grouping mechanism per se, you can use consistent naming patterns with prefixes or suffixes. For example: -

finance-daily-etl

-

finance-weekly-reports

-

marketing-daily-metrics

This allows you to easily filter deployments using the search functionality in the UI. 3. Work Pools: While primarily for infrastructure organization, work pools can also serve as a way to logically group related deployments. You can filter deployments by their associated work pool in the UI. The tags approach is probably the most flexible solution, as it allows for multiple overlapping categorizations and doesn't affect the deployment name itself. You can add or remove tags later without changing the deployment's identity. For more details on deployments and their management, you can check out the deployments concepts documentation.