Description:
mlstacks 0.10.0
MLStacks: Deploy your MLOps infrastructure in minutes
🌰 In a nutshell: What is MLStacks?
MLStacks is a
Python package that allows you to quickly
spin up MLOps infrastructure using Terraform. It is designed to be used with
ZenML, but can be used with any MLOps tool or platform.
Simply write stack and component YAML specification files and deploy them using
the MLStacks CLI. MLStacks will take care of the rest. We currently support
modular MLOps stacks on AWS, GCP and K3D (for local use).
👷 Why We Built MLStacks
When we first created ZenML as an extensible MLOps framework
for creating portable, production-ready MLOps pipelines, we saw many of our
users having to deal with the pain of deploying infrastructure from scratch to
run these pipelines. The community consistently asked questions like:
How do I deploy tool X with tool Y?
Does a combination of tool X with Y make sense?
Isn't there an easy way to just try these stacks out to make an informed
decision?
To address these questions, the ZenML team presents you a series of
Terraform-based stacks to quickly provision popular combinations of MLOps tools.
These stacks will be useful for you if:
You are at the start of your MLOps journey, and would like to explore
different tools.
You are looking for guidelines for production-grade deployments.
You would like to run your MLOps pipelines on your chosen
ZenML Stack.
🔥 Do you use these tools or do you want to add one to your MLOps stack? At
ZenML, we are looking for design partnerships and collaboration to implement and
develop these MLOps stacks in a real-world setting.
If you'd like to learn more, please
join our Slack and leave us a message!
🤓 Learn More
Try the
Quickstart example in the documentation
to get started with MLStacks.
Discover what you can configure with the different stacks in the
Stacks documentation.
Learn about our CLI commands in the
CLI documentation.
🙏🏻 Acknowledgements
Thank you to the folks over at Fuzzy Labs for their
support and contributions to this repository. Also many thanks to
Ali Abbas Jaffri for several stimulating
discussions around the architecture of this project.
We'd also like to acknowledge some of the cool inspirations for this project:
FuseML
Combinator.ML
Building a ML Platform From Scratch
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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