Overall

• https://github.com/graviraja/MLOps-Basics
• https://www.thoughtworks.com/content/dam/thoughtworks/documents/whitepaper/tw_whitepaper_guide_to_evaluating_mlops_platforms_2021.pdf
• https://marvelousmlops.substack.com/p/what-do-teams-really-want-from-an

https://www.linkedin.com/posts/animeshsingh1_ai-ml-activity-7161579921381769217-U1lD/

• https://www.hopsworks.ai/post/mlops-to-ml-systems-with-fti-pipelines

Broad Toolkits

• https://metaflow.org/
• https://flyte.org/
• [ ] https://github.com/fmind/mlops-python-package

Data Sources

• Databricks Lakehouse
• https://meltano.com/

Orchestration

• https://outerbounds.com/blog/continuous-delivery-of-ml-ai/
• https://tech.instacart.com/griffin-how-instacarts-ml-platform-tripled-ml-applications-in-a-year-d3d4dcae3690
• Vendors
  • https://outerbounds.com/metaflow/
  • https://lightning.ai/
  • https://flyte.org/ & https://www.union.ai/
  • https://modal.com/

Feature Engineering

• https://feast.dev/blog/the-future-of-feast/
• https://github.com/Eventual-Inc/Daft