Movie Recommender System in Production

Feb 1, 2026 · 1 min read
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Infrastructure and MLOps lead in a 5-person CMU team (17-645). Ran a movie recommender for a simulated 1M-user service on k3s with Helm, GitHub Actions CI/CD, and Prometheus, Grafana, and Loki monitoring. Cut timeout rate to 3.3% and cold-start latency to under 100ms (dev-measured).

Kubernetes MLOps Observability
Yoonmee Hwang
Authors
Yoonmee Hwang (she/her)
DevOps / MLOps Engineer
DevOps and Site Reliability Engineer with 5 years operating Kubernetes at cloud-provider scale at NHN Cloud, a top-3 cloud service provider in South Korea. Currently a Master of Software Engineering student at Carnegie Mellon University, building CI/CD platforms and ML experimentation infrastructure.