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

Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠This 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/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerConnect 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 Engineering Labs[01:05] Credits to Ivan Nardini[04:24] John Savage Profile[05:13] Prior MLflow Knowledge[05:50] Alexey Naiden Profile[07:26] Varuna Jayasiri Profile[08:28] Michel Vasconcelos Profile[10:07] Process Using PyTorch MLflow[13:39] Implementation Structure and Coding[17:03] Encountering Problems Along the Way[20:26] Overview and First Problem[23:08] Catching Up or Comfortable[24:12] Tool John Called Out[24:41] Homegrown Tool Confirmation[24:51] Engineering Labs Implementation[26:03] Pipeline and Serving Overview[37:26] Pet Project Limitations[38:13] Lego-Like Modular Building Block[40:54] PyTorch or MLflow Troubles[42:44] Torchserve Prompt Challenges[44:27] Considering Better Approaches[49:05] Feedback on Labs Experience[50:20] Michel Wants Future Participation[51:52] Varuna Values Tangible Learning[53:00] John Anchored in MLOps[55:52] Alexey Reaching Checkpoint[56:01] Michel’s Terraform Reproducibility Piece