ML pipeline architecture design patterns + other resources
Time to see what's new in the MLOps world! In August, we focused on ML pipeline architectures, Monorepo, and (once again, but?differently)?building an ML Platform.
Hope you find this helpful!
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Case studies & practical MLOps
> ML Pipeline Architecture Design Patterns?- Let's start with a great article by Richmond Alake, where he presents 10 real-world examples of ML pipeline architectures, along with their pros and cons. Additionally, Richmond shares standard practices in leading tech corporations, common patterns, and typical ML pipeline components.
> Learnings From Building the ML Platform at Stitch Fix?- Stefan Krawczyk?shares?insights on the ML Platform at Stitch Fix , including success stories and golden paths, team structures and management, product management, feature requests, going open-source, and many more. This article was originally a podcast, so you can also listen to it (or even watch it).
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Guides & tutorials
> Organizing ML Monorepo With Pants?- This month's tutorial will let you unify coding standards and learn about the world of ML monorepos.?Micha? Oleszak also covers an architecture that is widely adopted by major tech companies like Google and how it can enhance ML workflows.
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Tools
领英推荐
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ML Platform Podcast
> The second episode of the MLPP is out!
This time?Mikiko Bazeley, a Head of MLOps at Featureform ,?shares insights on the ML Platform at Mailchimp, focusing on team structures, templating, and generative AI use cases. Mikiko also talks about her journey from data analytics to MLOps engineering and discusses different aspects of feature stores.?
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Okay, that's it for today. If you want to talk about these recommendations, send me an email or?join the MLOps community here, and find the?#neptune-ai channel there.
Feel free to forward this newsletter to your friends and communities if you find it useful!
Cheers!