Canary Releases for an ML Model on KServe: Replayed Traffic, Sidecar Metrics and Automatic Rollback
Part of the homelab build series. A football match-outcome model ships every day through Kubeflow Pipelines and KServe on RKE2. Each new model is staged next to the live one, tested, given 10% and then 50% of replayed traffic, measured revision by revision, and promoted or rolled back by the pipeli…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-29 22:19 · DEV Community — Machine Learning
Canary Releases for an ML Model on KServe: Replayed Traffic, Sidecar Metrics and Automatic Rollback
More stories
- Welcome Le Chonk: Mistral Large 4 on Hugging Face — Hugging Face Blog
- 8 examples of Gemini 4 Argon in action — Google Gemini Blog
- You can now generate, preview, and edit documents, PDFs, presentations, spreadsheets, and more directly in Gemini. — Google Gemini Blog
- Canada to Take Equity Stake in AI Firm Cohere — Wall Street Journal Technology
- How we detect frontier model misalignment — OpenAI News
- Accelerating software delivery with agentic QA automation using Amazon Nova Act – Part 3 — AWS Machine Learning Blog
- Baseten Releases Joey-1, a 2B Open-Weights Decision Model — Unite.AI
- How the UK Amazon Quick User Group grew in 2026 — AWS Machine Learning Blog
Get the daily brief of stories like this at 6:30 every morning →