Is your feature request related to a problem?
To reach 1.0 we promised validation at three or more customer deployments, but there is no tracked plan or tooling to capture production readiness signals. Without an explicit effort, we risk shipping features without real-world hardening or feedback loops.
Describe the solution you want to see
- Define acceptance criteria for production validation (uptime targets, performance SLAs, feedback cadence) and track them per pilot customer.
- Build lightweight telemetry/feedback dashboards that aggregate health metrics, error rates, and feature usage from pilot deployments.
- Assign owners for each pilot, with playbooks for deployment, support, and escalation.
- Document lessons learned and required fixes ahead of GA, feeding back into roadmap issues.
Describe alternatives you have considered
We can rely on informal customer engagements, but without structured tracking we may miss critical gaps or overestimate readiness.
Additional context
This initiative should tie into benchmarking (#275) and evaluation harness (#276) so we can compare production outcomes with lab results. Coordinate with the Kubernetes deployment (#279) and auth (#280) work to ensure pilots use the intended 1.0 architecture.
Is your feature request related to a problem?
To reach 1.0 we promised validation at three or more customer deployments, but there is no tracked plan or tooling to capture production readiness signals. Without an explicit effort, we risk shipping features without real-world hardening or feedback loops.
Describe the solution you want to see
Describe alternatives you have considered
We can rely on informal customer engagements, but without structured tracking we may miss critical gaps or overestimate readiness.
Additional context
This initiative should tie into benchmarking (#275) and evaluation harness (#276) so we can compare production outcomes with lab results. Coordinate with the Kubernetes deployment (#279) and auth (#280) work to ensure pilots use the intended 1.0 architecture.