fetch_catalog_data.serve(name="vinted-catalog_ids",
                        tags=["staging", "extraction", "api", "catalog_ids"],
                        pause_on_shutdown=False,
                        interval=60*60*24)

    fetch_data_from_vinted.serve(name="vinted-v1",
                        tags=["staging", "extraction", "api"],
                        parameters={"sample_frac": 0.001,
                                    "batch_size": 500,
                                    "nbrRows": 500,
                                    "item_ids": [221, 1242, 2320, 1811, 267, 1812, 98, 246, 287, 2964] # [t shirts, trainers, sweaters, books, hoodies and sweaters, zip hoodies, sunglasses, backpacks, caps, gorros]
                                    },
                        pause_on_shutdown=False,
                        interval=3600)

    fetch_brands_from_vinted.serve(name="vinted-brands",
                        tags=["brands", "staging", "extraction", "api"],
                        pause_on_shutdown=False,
                        interval=60*60*24)

(etc...)

I have been using serve to deploy multiple flows but with increasing workload I need a better and easier way to deploy all flows from one deployment. How can I do this? I'm running locally

hi @Miguel Silva - there's the general

serve

method that accepts an iterable of flows

Ahh, thanks! I can create RunnerDeployment objects with .to_deployment method and serve them together.

you got it!

Amazing, thank you so much! (and my bad, that was indeed in the docs, somehow I missed it!)

no worries catjam