Right now there's no way to run a custom containerized job on Fabric. The execution has to happen on a remote endpoint you stand up and maintain yourself (Azure Function, ACI, etc.) that Fabric just calls out to. Notebooks and User Data Functions cover Python, but not "bring your own image."
Would love a "container job" item, point it at an image in ACR, give it a command + env vars + resource limits, run it on Fabric-managed compute, trigger it on-demand or on a schedule, and have the logs/run history show up in the monitoring hub like any other Fabric job.
Today I run things like dbt and custom data ingestion jobs in Azure Container Apps Jobs, orchestrated from ADF. I'd happily consolidate all of it into Fabric if I could run the containers natively instead of keeping a separate compute plane around just for the "run my image" cases that notebooks/Spark don't cover.
Anyone else running into this? Is there a roadmap item I've missed?
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