When experiments graduated from notebooks, we needed a pipeline that enforced reviews, reproducibility, and drift monitoring. Vertex AI gave us the scaffolding—but the guardrails were a team effort.
Pipeline Highlights
- Terraform provisions Vertex Pipelines, GCS, and Artifact Registry through GitOps.
- GitHub Actions runs unit tests, style checks, and triggers pipeline updates per branch.
- Model Registry promotions require signed-off evaluations and drift thresholds.
- BigQuery + Dataform produce monitoring tables that feed Grafana and PagerDuty.
Results
Model deployments dropped from quarterly to weekly without sacrificing reliability. Stakeholders can trace every experiment from prototype to production in under five clicks. Go to machine learning projects