Your Users Notice Production Errors Before Your Monitoring Does.
A spike in 500 errors at 2am generates a Slack message nobody sees until morning. Meanwhile, customers are churning, support tickets are piling up, and the incident that should have taken 10 minutes to catch is now a 4-hour postmortem. Watchtower is AI-powered production monitoring that detects anomalies in real time, correlates signals across your stack, and alerts the right person before the first angry tweet.
PagerDuty research found that the average cost of IT downtime for a SaaS company is $5,600 per minute. For a team that reduces mean-time-to-detect from 45 minutes to 5 minutes, that's $224,000 in avoided incident cost per incident — before accounting for churn and reputational damage.
PagerDuty / Gartner downtime cost research — illustrative of the scale, not a Scaler client result.
Every minute between an error and detection is customer trust you're burning.
- 01Traditional monitoring alerts on thresholds you configured when the system looked different. Novel failure modes don't match old rules — they pass through silently.
- 02Alert fatigue is real: teams that get 200 alerts a day learn to ignore them, which means the one critical signal is buried in noise.
- 03A P0 incident that takes 45 minutes to detect versus 5 minutes costs significantly more in churn, comp, and team time — every time.
- 04Error logs are high-volume and low-signal. Finding the one meaningful error pattern in 50,000 log lines per hour isn't a human job.
- 05Most SaaS teams find out about production problems from customer support tickets, Twitter/X, or a status page ping — not their own monitoring.
Live in days, not months.
Connect
We wire Watchtower into your logging, metrics, and APM stack — Datadog, CloudWatch, Sentry, LogDNA, custom — without replacing your existing observability tools.
Learn
Watchtower builds a baseline of your system's normal behavior — traffic patterns, error rates, latency distributions — so it knows what 'normal' actually looks like for your app.
Detect
When behavior deviates from baseline, Watchtower correlates signals across your stack — not just fires an alert on a number crossing a threshold.
Alert
The right person gets an actionable alert: what's wrong, what else is correlated, what changed recently, and what the blast radius looks like.
Your team finds production problems in minutes, not after users report them.
- Anomaly detection that learns your system's real behavior instead of static thresholds you tuned six months ago.
- Correlated alerts that tell you what's actually wrong — not 40 separate symptom alerts for one root cause.
- Dramatically reduced mean-time-to-detection for incidents that slip through traditional monitors.
- Alert noise reduced so on-call engineers respond to real signals instead of crying-wolf dashboards.
- Incident context delivered with the alert — no racing to pull logs while users are affected.
Questions, answered.
Book a free scoping call.
Twenty minutes, no pitch deck. We'll map exactly how this would run for your business and what it'd recover. Prefer to read more first? See the Watchtower product.