- Using GitHub Actions for MLOps & Data Science (June 2020) 📄
- Machine learning operations with GitHub Actions and Kubernetes - GitHub Universe 2019 📺
- GitHub Machine Learning Ops 🛠
- MLOps: Continuous delivery and automation pipelines in machine learning 📄
- Continuous Delivery for Machine Learning 📄
- ml-ops.org
- ML infracstructure at Spotify using TFX and Kubeflow (Dec 2019) 📄
- Building and Managing a Centralized Kubeflow Platform at Spotify (Nov 2019) 📺
- Engineering Systems for Real-Time Predictions @DoorDash (Dec 2018) 📺
- One Model At A Time: Integrating And Running Deep Learning Models In Production At EyeEm 📄
- A booklet on ML systems design with exercises 📚
- Horovod, distributed training framework🛠
- Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools (Sep 2019) 🎓
- Introducing Petastorm: Uber ATG’s Data Access Library for Deep Learning 🛠
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 📚