MLOps architecture
Production monitoring design lab
Turn vague “watch the model” requests into dashboards, alerts, and ownership that survive rotation.
- Duration
- 7 weeks
- Format
- Remote with optional war-room week
- Indicative fee
- ₩22,100,000
Overview
We inventory signals you can realistically collect, define alert thresholds that avoid pager fatigue, and connect monitoring to your existing incident channels.
What is included
- Metric catalogue grouped by data, model, and business health
- Sampling strategy for expensive ground-truth checks
- Runbook templates integrated with your ITSM tool
- Ownership RACI that names on-call rotation assumptions
- Synthetic transaction tests where permitted
- Quarterly review agenda for the governance forum
- Decommission checklist for retired models
Outcomes you can inspect
- Fewer false-positive alerts in the first month post-launch
- Clear escalation when business KPIs diverge from model metrics
- Living document linking dashboards to accountable roles
RC
Rina Cho
MLOps engineer with a background in regulated batch pipelines for large carriers.
FAQ
Can this run without a feature store?
Yes, with pragmatic compromises. We document trade-offs explicitly.
Pager expectations
We recommend conservative thresholds initially; aggressive auto-tuning is out of scope.
What we do not monitor
We do not monitor social media sentiment about your brand as a proxy for model quality.
Experience notes
“Pager noise dropped after we adopted their tiered alert story. Still tuning synthetic tests—internal network quirks made that slower than hoped.”