MLOps Engineering Labs Recap // Part 1 // MLOps Coffee Sessions #30

This is a deep dive into the most recent MLOps Engineering Labs from the point of view of Team 1. // Diagram Link: https://github.com/mlops-labs-team1/engineering.labs#workflow --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Alexey on LinkedIn: https://www.linkedin.com/in/alexeynaiden/ Connect with John on LinkedIn: https://www.linkedin.com/in/johnsavageireland/ Connect with Michel on LinkedIn: https://www.linkedin.com/in/michel-vasconcelos-8273008/ Connect with Varuna on LinkedIn: https://www.linkedin.com/in/vpjayasiri/ Timestamps [00:00] Introduction to Engineering Labs Participants [00:34] What are the Engineering Labs? [01:05] Credits to Ivan Nardini who organized this episode!   [04:24] John Savage Profile [05:13] Did you want to learn MLFlow before this? [05:50] Alexey Naiden Profile   [07:26] Varuna Jayasiri Profile [08:28] Michel Vasconcelos Profile [10:07] Do something with Pytorch and MLFlow and then figure out the rest: What did the process look like for you all?  What have you created? [13:39] What did the implementation look like? How you went about structuring and coding it? [17:03] Did you encounter problems along the way? [20:26] Can you give us a rough overview of what you designed and then where was the first problem you saw? [23:08] Was there a lot to catch up with or did you feel it was fine. Can you explain how it was? [24:12] Talk to us about this tool that you have that John was calling out. What was it called? [24:41] Is this homegrown? You built this? [24:51] Did you guys implement this when you went to the engineering labs? [26:03] Can you take us through the pipeline and then the serving and what the overall view of the diagram is? [37:26] For a pet project it works well, but when you wanna start adding a little bit more on top of it wasn't doing the trick? [38:13] So you see it coming in it's much less of an integral part, another lego building block that is part of the whole thing? [40:54] Did you all have trouble with Pytorch or MLFlow? [42:44] Along with that, what was the prompt you were encountering when you were trying to use Torchserve? [44:27] What are you thinking would have been better in that case? [49:05] Feedback on how Engineering Labs went [50:20] Michel: "Engineering Labs should go on. I would like to be a part of it in the next lab." [51:52] Varuna: "This gives me a tangible thing to look at at any point in time and learn from it." [53:00] John: "I feel I have an anchor into the world of MLOps from having done this lab." [55:52] Alexey: "We're at a checkpoint where there are ways we could take" [56:01] Terraform piece Michel wrote for reproducibility.