Building an ML Platform from Scratch: Live Coding Session // Alon Gubkin // MLOps Meetup #67

[@animadurkar179]

Oh man, this is exactly what I was looking for recently. Awesome walkthrough!

[@francismumbi49]

The intro was awesome....

[@MLOps]

yaaaaaah!

[@polarstar3498]

Awesome platform! And nice solution for infrastructure!

[@MLOps]

Yesss!

[@eitkocat]

This is great!

[@prabhakarray3925]

great workshop! Thank you for arranging this. I was wondering if we managed to narrow down the reason behind the 502 Bad gateway error (1:49:56) in the end. I am kind of stuck at that point.

[@SergioTobal]

Very nice indeed, is possible to arrange the second part to build the missing components?

[@MLOps]

Yep we are on it! happening on august 17th!

[@vulnerablegrowth3774]

@@MLOps Can't wait!

[@phox8047]

great video and really thanks. I had followed and run this video I have questions. 1. How to check out my Zone ID? in this video he just paste some ID but I can't catch how to check and where it is 2. I'm using Window OS so I had installed Poetry follow the docs but on the cmd poetry can't use

[@alongubkin]

You're welcome! :) 1. The Zone ID can be copied from the Route53 service in AWS console. Note that this is only relevant if you actually use Route53 as your DNS provider. 2. Can you elaborate?

[@cryptohorizon5970]

How do we test if MLFlow has been installed without using an DNS server?

[@shabiehsaeed8633]

Since AWS is not allowing Kubernetes 1.21, some of the code is breaking. I think we need to change the traefik helm chart to reflect the incompatibility of the graph. I was able to run this with V1.21, but not any longer with v1.24. If anyone figures out what changes are needed to get this to run again, can you please let me know?

[@shabiehsaeed8633]

I have added the resolution for above a a response to an issue "Unable to deploy" on the GitHub repo. Please take a look if you're facing similar issues

[@liucharles2973]

can you share the slides

[@alongubkin]

Will do :) In the meantime, checkout the blog post version of this workshop: www.aporia.com/blog/building-an-ml-platform-from-scratch/

[@liucharles2973]

@@alongubkin thx! excellent work.