Shadow Deployment for ML Models
Data & AI Pipelines diagram · made in Skemio

What it shows
- Ingress mirrors live traffic asynchronously to candidate models.
- Responses return exclusively from baseline; shadow errors are ignored.
- Evaluator diffs accuracy and latency metrics offline without user impact.
The takeaway
Shadow deployments reveal latency spikes and production distribution drift with zero user blast radius.
- #MLOps
- #ShadowDeployment
- #SystemDesign
- #DataPipelines
- #MachineLearning





