[BLOG] Meet Michelangelo: Uber’s Machine Learning Platform (2017)

[BLOG] Evolving Michelangelo Model Representation for Flexibility at Scale (2019)

[VIDEO & TRANSCRIPT] Michelangelo Palette: A Feature Engineering Platform at Uber (2019)

[VIDEO] Michelangelo: Uber's machine learning platform (2019)

[BLOG] Notes on Uber Michelangelo (2019)

[BLOG] Uber’s Michaelangelo — ML Platform (2021)

[PAPER] TFX: A TensorFlow-Based Production-Scale Machine Learning Platform (2017)

[VIDEO] TFX: Production ML pipelines with TensorFlow (2019)

[VIDEO] TFX: An end-to-end ML platform for everyone (2020)

[PAPER] Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX) (2021)

[BLOG] Google’s End-to-End ML Platform (2021)

[PAPER] Flux: Groupon's automated, scalable, extensible machine learning platform (2017)

[BLOG] Building a Successful Enterprise AI Platform

[BLOG] ML Lake: Building Salesforce’s Data Platform for Machine Learning

[BLOG] Beyond Interactive: Notebook Innovation at Netflix (2018)

[BLOG] Open-Sourcing Metaflow - a Human-Centric Framework for Data Science (2019)

[VIDEO & TRANSCRIPT] Designing Better ML Systems: Learnings from Netflix (2021)

[BLOG] Evolution of ML Fact Store (2022)

[BLOG] Why and how we built Machine Learning Platform at Flipkart (2018)

[VIDEO] Machine Learning Platform at Flipkart (2019)

[SLIDES] Bighead: Airbnb’s End-to-End ML Infrastructure (2018)

[VIDEO] Zipline—Airbnb’s Declarative Feature Engineering Framework (2019)

[VIDEO] Bighead: Airbnb's end-to-end Machine Learning Platform (2020)

[BLOG] Airbnb’s End-to-End ML Platform (2021)

[SLIDES] Chronon - Airbnb’s Feature Engineering Framework (2022)

[BLOG] Intelligent Automation Platform: Empowering Conversational AI and Beyond at Airbnb (2022)

[SLIDES] eBay AI Platform - Machine Learning Made Easy (2018)

[BLOG] eBay’s Transformation to a Modern AI Platform (2019)

[BLOG] PyKrylov: Accelerating Machine Learning Research at eBay (2020)

[SLIDES] Operationalizing Machine Learning—Managing Provenance from Raw Data to Predictions (2018)

[VIDEO] Winning the Audience with AI: How Comcast Built An Agile Data And Ai Platform At Scale (2019)

[BLOG] One-stop MLOps portal at LinkedIn (2022)

[BLOG] DARWIN: Data Science and Artificial Intelligence Workbench at LinkedIn (2022)

[BLOG] Open sourcing Feathr – LinkedIn’s feature store for productive machine learning (2022)

[BLOG] Model health assurance platform at LinkedIn (2021)

[BLOG] Using the LinkedIn Fairness Toolkit in large-scale AI systems (2021)

[BLOG] Pensieve: An embedding feature platform (2020)

[BLOG] Bringing Machine Learning to Production at Ubisoft (2022)

[BLOG] Twitter meets TensorFlow (2018)

[BLOG] Productionizing ML with workflows at Twitter (2018)

[PODCAST] Productizing ML at Scale at Twitter (2019)

[VIDEO] Twitter's management of ML features in dynamic environments (2021)

[BLOG] Advancing Jupyter Notebooks at Twitter - Part 1 (2021)

[BLOG] The Winding Road to Better Machine Learning Infrastructure Through Tensorflow Extended and Kubeflow (2019)

[VIDEO] How Spotify Does ML At Scale (2021)

[VIDEO] Jukebox: Spotify’s Feature Infrastructure (2021)

[BLOG] Product Lessons from ML Home: Spotify’s One-Stop Shop for Machine Learning (2022)

[SLIDES] How Kubeflow Pipelines fits into our Machine Learning ecosystem

[PAPER] Overton: A Data System for Monitoring and Improving Machine-Learned Products (2019)

[PAPER] Data Platform for Machine Learning (2019)

[PAPER] Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems (2021) 

[BLOG] An Introduction to Gojek’s Machine Learning Platform (2019)

[BLOG] Merlin: Making ML Model Deployments Magical (2019)

[BLOG] Reliable ML Pipelines with Clockwork (2020)

[BLOG] Feast: Bridging ML Models and Data (2020)

[BLOG] Finding Intelligence with Turing (2020)

[VIDEO] Feature Engineering at Scale with Dagger and Feast (2022)

[SLIDES] Big Data Machine Learning Platform at Pinterest (2019)

[VIDEO] Evolution and Unification of Pinterest ML Platform (2019)

[BLOG] Empowering Pinterest data scientists and machine learning engineers with PySpark (2020)

[VIDEO] Streamlining the Pinterest ML Feature Ecosystem (2021)

[BLOG] Core Modeling at Instagram (2019)

[BLOG] Building ML Workflows at Zalando with zflow (2019)

[BLOG] A Machine Learning Pipeline with Real-Time Inference (2021)

[BLOG] Zalando's Machine Learning Platform (2022)

[VIDEO] Machine Learning Workflows in Production (2022)

[VIDEO] ML Infrastructure at Dropbox (2019)

[SLIDES] ML Infrastructure at Dropbox (2019)

[BLOG] Railyard: how we rapidly train machine learning models with Kubernetes (2019)

[VIDEO] MLOps at Stripe (2022)

[BLOG] Machine Learning in production: the Booking.com approach (2019)

[VIDEO] Scaling Machine Learning at Booking.com (2019)

[BLOG] Powering Millions of Real-Time Decisions with LyftLearn Serving (2023)

[BLOG] Full-Spectrum ML Model Monitoring at Lyft (2022)

[VIDEO] Distributed Machine Learning at Lyft (2022)

[BLOG] ML Feature Serving Infrastructure at Lyft (2021)

[BLOG] LyftLearn: ML Model Training Infrastructure built on Kubernetes (2021)

[BLOG] Lyft’s End-to-End ML Platform (2021)

[BLOG] Why and when to build a Machine Learning Platform (part 1) (2020)

[BLOG] Why and when to build a Machine Learning Platform (part 2) (2021)

[BLOG] 3 Principles for Building an ML Platform That Will Sustain Hypergrowth (2022)

[VIDEO] MLOps at DoorDash. Data + AI Summit (2022)

[VIDEO] MLOps at DoorDash (2022)

[BLOG] Ship to Production, Darkly: Moving Fast, Staying Safe with ML Deployments (2022)

[BLOG] Introducing Fabricator: A Declarative Feature Engineering Framework (2022)

[BLOG] Maintaining Machine Learning Model Accuracy Through Monitoring (2021)

[BLOG] Introducing Yelp's Machine Learning Platform (2020)

[VIDEO] ML Product Experiments at Scale (2021)

[VIDEO] Real-time Machine Learning Inference Platform at Zomato (2020) 

[BLOG] The elements of scalable machine learning (2021)

[VIDEO] Overview of Wix’s Machine Learning Platform (2020)

[VIDEO] How Wix does MLOps (2020)

[SLIDES] Wix's ML Platform (2020)

[VIDEO] Managing ML Models @ Scale - Intuit’s ML Platform (2020)

[SLIDES] Managing ML Models @ Scale - Intuit’s ML Platform (2020)

[VIDEO] ML Feature Store at Intuit (2020)

[BLOG] The Intuit Data Journey (2021)

[VIDEO] MLOps at Snapchat: Continuous Machine Learning with Kubeflow & Spinnaker (2020)

[SLIDES] MLOps at Snapchat: Continuous Machine Learning with Kubeflow & Spinnaker (2020)

[BLOG] Speed Up Feature Engineering for Recommendation Systems (2022)

[BLOG] Monzo’s machine learning stack (2022)

[BLOG] An introduction to Monzo’s data stack (2021)

[BLOG] Machine Learning at Monzo in 2021 (2021)

[BLOG] Machine Learning at Monzo in 2020 (2020)

[BLOG] Building a feature store (2020)

[SLIDES] Making ML easier at CERN with Kubeflow (2020)

[VIDEO] Building and Managing a Centralized ML Platform with Kubeflow at CERN (2021)

[BLOG] Laying the Foundation of our Open Source ML Platform with a Modern CI/CD Pipeline (2021)

[BLOG] How We Extended our Open Source ML Platform to Support Real-Time Inference (2022)

[VIDEO] How to Build a ML Platform Efficiently Using Open-Source (2022)

[BLOG] Evolving Reddit’s ML Model Deployment and Serving Architecture (2021)

[BLOG] Reddit Acquires Machine-Learning Platform Spell (2022)

[BLOG] Redesigning Etsy’s Machine Learning Platform (2021)

[BLOG] Building a Platform for Serving Recommendations at Etsy (2022)

[BLOG] Towards Machine Learning Observability at Etsy (2022)

[BLOG] Improving Support for Deep Learning in Etsy's ML Platform (2023)

[BLOG] Aggressively Helpful Platform Teams (2021)

[VIDEO] The Function, the Context, and the Data—Enabling MLOps at Stitch Fix (2021)

[BLOG] Deployment for Free -- A Machine Learning Platform for Stitch Fix's Data Scientists (2022)

[BLOG] What I learned building platforms at Stitch Fix (2022)

[BLOG] How Wayfair is reaching MLOps excellence with Vertex AI (2023)

[VIDEO] How Wayfair enabled their data science teams to accelerate their ML capabilities (2022)

[BLOG] Transforming Model Training Workflows at Wayfair (2021)

[BLOG] Griffin: How Instacart’s ML Platform Tripled ML Applications in a year (2022)

[BLOG] Lessons Learned: The Journey to Real-Time Machine Learning at Instacart (2022)

[VIDEO] Griffin, ML Platform at Instacart (2023)

[BLOG] Serving Machine Learning Models Efficiently at Scale at Zillow (2022)

[BLOG] Using SageMaker for Machine Learning Model Deployment with Zillow Floor Plans (2020)

[BLOG] Airflow at Zillow: Easily Authoring and Managing ETL Pipelines (2017)

[BLOG] Using MLOps to Build a Real-time End-to-End Machine Learning Pipeline (2022)

[BLOG] A Closer Look at Our Machine Learning Feature Store (2022)

[BLOG] element: Walmart’s Machine Learning Platform (2022)

[BLOG] Walmart’s Multi-Cloud Machine Learning Platform (2022)

[BLOG] The Magic of Merlin: Shopify's New Machine Learning Platform (2022)

[VIDEO] The Magic of Merlin - Shopify's new machine learning platform (2022)

[VIDEO] Building an MLOps Platform at HelloFresh (2022)

[BLOG] Machine learning at Wolt: our journey towards MLOps (2022)

[VIDEO] Scaling Open Source ML: How Wolt Uses K8s To Deliver Great Food to Millions (2022)

[BLOG] Aurora’s Data Engine: How we accelerate machine learning model workflows (2023)

[VIDEO] Team Aurora: Accelerating ML with Kubeflow (2023)

[BLOG] Meet Coupang's Machine Learning Platform (2023)