วีดีโอ

commands used in the video no longer works, seems to be outdated. The video also skip over important details on the setup, it is no clear where the kubernetes is hosted in the videos as well as the docker image registry

Thanks for the video

come one come all to conquer ETL-ish flows! 😅

There is a project shown in the video, but at least for me, it's hard to read. Is there a chance this code or project is available online as a reference? I am particularly interested in the integration with Slack.

Why you remove deployments, why? Is serve() right way to run python flows in production containers?

Do you recommend using serve method in production, for the context I'm deploying flows as pods in kubernetes cluster

Is it cloud only feature?

What is the version?

If you are using a git repo as the code source like the demo here, it seems that the Python script needs to live in the parent directory of the repo and not in a subdirectory. Otherwise, the Work Pool throws an error "FileNotFoundError". If this is truly the only way to do it, it's definitely not the neatest implementation. But I'd guess there must be a way to direct Prefect to the subdirectories somehow, which I haven't figured out yet. If anyone knows, please share your knowledge.

We are building a similar but different solution, we are in early beta, its called abysshub. If anyone is looking to become an early adopter and provide some feedback :)

Thanks for sharing Chris! This video was really well done and helped solidify the blog post, email, and docs online.

I only wish i could downvote this multiple times.

amazing!

it's outdated now

ء

Not fair

Hi

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does this work without prefect cloud? My company does not allow using third-party cloud solution due to data privacy

0:56

😂🎉ci0

Sorry

I wisk i could downvote this multiple times. Ill just block

❤

Iiiiiioou

Can you please re-upload this so that it is possible to see the screen?

What are some of the major "tasks" that can be done. What data does it collect. Can it process information in another app to mask functions. I believe someone has used it to full their locations on Google, is this possible, what are the main reasons for this.

Hempseed.boymjk 0:23

The problem with this approach is that now your parameters are static. How can I have multiple deployments in a single github repository where the params are dynamic?

Thank you 60 blessings

Thanks a lot, been readying the documentation the whole day and couldn't find an example how to deploy a flow on a process work pool, all examples are to deploy on a docker work pool

That is all right

I have questions

Would be nice to have the code so we can follow with the tutorial :)

That's the ticket lolololol

Thanks for the video Jeff! I didn't realize you could hit a webhook from github.

Hey pal there Is no gear icon to click on

Is this real?

Seems like there’s overlap between prefect deployment apply and prefect deploy. Still trying to figure out the difference

Are you able to self-host a work pool in a long running container, or do you have to use Prefect Cloud for the work pool hosting?

@mdso

Even more lightweight and better separation of concerns and cloud best practices would be that it requires no code at all (other than to set defaults). That the ENVIRONMENT vars are just available as an environment variable. Does it work that way also?

Sweet. So what is happening under the covers when you “prefect deploy” in this case with one worker and two entry points? Is there one process to execute both (so they can’t run simultaneously or ?

Terrible video for the following reasons: - doesn't show which directory Prefect is installed (not covered in the documentation Quickstart) - doesn't show where to drop the Python script with Flow functions (also not covered in the documentation Quickstart) I honestly think you could do better.

❤

Nice 👍👍

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