What we built, what it returned, and where we go next.
| METRIC | BASELINE (Jun '23) | CURRENT (Jun '24) | CHANGE | |
|---|---|---|---|---|
| Mean Time to Resolve | 4.2 hrs | 38 min | ↓ 91% | |
| P1 Incidents per Month | 3.0 | 0.6 | ↓ 80% | |
| False Positive Rate | 31% | 4% | ↓ 87% | |
| On-Call Hours Saved | — | 210 / month | New | |
| Infrastructure Team NPS | 47 | 71 | +24 pts |
"We haven't had a midnight page in six months. That's not a tool win — it's a culture win."
of alerts are still handled manually outside Helio — routed through Slack threads, email chains, and ad-hoc DMs.
The Advanced Alerting module would automate triage, route to the right on-call engineer, and close the loop without human intervention.
Automated runbooks resolve common issues before human escalation
All alerts route intelligently to the right engineer with context
Predict incidents before they escalate using historical patterns
Top-5 P1 playbooks execute automatically on trigger
Deploy intelligent routing across all infrastructure monitors; migrate manual Slack workflows to automated triage
Automate top-5 P1 incident playbooks; enable self-healing for common degradation patterns
Predictive alerting active; proactive incident prevention based on historical patterns and drift detection