Nitin Bansal
10/23/2024, 12:34 AMimage
variable in its base job template or specify a remote storage location for the flow with .from_source
. If you are attempting to deploy a flow to a local process work pool, consider using flow.serve
instead."
flow.deploy(
name=flow_name + "-deployment" + "-" + env,
work_queue_name="claimsheroqueue-" + env,
work_pool_name="agent-" + env,
build="False",
image=args.repo_url + args.image_name + ":" + args.image_version
)
Is it not possible to deploy the flows which are in custom docker image in private repo in Prefect 3.0?
Note : My work pool is of type "Prefect Agent"Jeff Hale
10/23/2024, 1:03 PMBring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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