Multi-region · Confidence-scored · AI root-cause · Zero-effort setup

Know before your
users do.

Uptime monitoring from multiple regions at once. Confidence scoring means you only get paged when multiple agents agree — and when an incident opens, AI root-cause analysis tells you what broke and how to resolve it, so downtime is measured in minutes, not hours.

How it works

From deploy to AI-guided resolution in four steps

1

Add a monitor

Paste a URL, pick a check type and interval. Nothing to install — our global agent fleet starts hitting it within 30 seconds.

2

Watch from everywhere

Agents in every populated continent check in parallel. You see per-region status the moment a check runs.

3

Detect with confidence

When confidence crosses your threshold for N checks in a row, the incident opens and your alerts fire — no false alarms.

4

Resolve with AI

Every incident comes with an AI root-cause analysis and a suggested fix, drawn from the failing regions, recent deploys, and your own incident history.

Everything you need

No fluff. Just uptime.

🌍

Multi-region confidence

Checks run from every agent simultaneously. Confidence = (failing agents / working agents) × 100. One region blips? Ignored. All regions agree? That's a real outage.

🧠

AI root-cause analysis

When an incident opens, KissUptime correlates failing regions, response-time anomalies, recent deploys, and dependent-service health to surface the most likely cause — in seconds, not hours.

🛠️

AI-aided downtime resolution

Every alert ships with a suggested next step: roll back the last deploy, restart a stuck process, check a DNS provider, scale a service — drawn from runbook patterns and your own incident history.

Sub-minute detection

Checks dispatch every 30 seconds from the scheduler. Configure per-monitor intervals from 1 minute to 1 hour based on how critical each service is.

📡

Any check type

HTTP/S status codes, TCP port connectivity, SSL certificate expiry, DNS resolution, keyword presence, and regexp content matching — all from the same config.

🔔

Smart alerting

Alerts fire after N consecutive failures exceed your confidence threshold. Cooldowns prevent spam. Email, SMS, and webhooks for every incident open and resolve — each enriched with the AI-suggested cause.

📊

Beautiful dashboards

90-day uptime heatmap, response time charts, per-region breakdown, and incident timeline — all the data you need to understand availability trends.

🌐

Public status pages

One click to publish a branded `/uptime/your-site` page. Your customers can see live status without logging in. Embed a badge in your README.

No more false alarms

Traditional monitors cry wolf when a single location has a bad connection. KissUptime aggregates.

// Confidence formula
confidence = (failing_agents / working_agents) × 100
0%
All agents UP
No incident
50%
Half agents down
Partial outage
100%
All agents down
Site down
🧠AI-aided downtime resolution

Detection is half the battle.

KissUptime doesn't just tell you that something's broken — it tells you what broke, where, and how to fix it. Every incident page opens with an AI root-cause analysis and a suggested resolution path.

🧠

Root-cause analysis

When confidence crosses the threshold, AI correlates the failing regions, response-time anomalies, SSL/DNS signals, and recent deploys to surface the most probable cause. You see a one-line summary on the incident before you finish reading the alert.

→ Likely cause
SSL handshake failing in eu-* only.
Cert expired 3 days ago for *.eu.example.com.
🛠️

AI-aided resolution

Each alert ships with a suggested next step drawn from runbook patterns and your own incident history. Roll back the last deploy, restart a stuck process, rotate a cert, check a DNS provider — the AI proposes, you decide.

→ Suggested fix
1. Renew cert via certbot on eu-prod-lb
2. Reload nginx (matches incident #1138)
3. Re-run /check from each EU agent

Detect, diagnose, resolve — in minutes

Zero-effort monitoring. AI-assisted. Pay only for what you watch.

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