SilentCanary Overview
What is SilentCanary?
SilentCanary is a dead man's snitch monitoring system that ensures your critical processes are running by expecting regular "check-ins" from them. If a process fails to check in within its expected timeframe, SilentCanary immediately alerts you.
Process Monitoring
Monitor cron jobs, background processes, scheduled tasks, and services.
Smart Alerts
ML-powered anomaly detection that learns your patterns and reduces false alarms.
Multi-Channel Alerts
Email and webhook notifications with rich context and actionable information.
CI/CD Integration
Automatically create and manage canaries during deployments using https://silentcanary.com APIs. Supports GitHub Actions, GitLab CI/CD, Jenkins, and more.
Use multiple API keys for different environments and track usage in your account settings.
How It Works
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1Create a CanarySet up a monitoring endpoint for your process
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2Configure Check-in IntervalDefine how often your process should report
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3Add Check-in to Your ProcessSimple HTTP GET/POST to the unique URL
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4Get AlertedReceive notifications if check-ins stop
Quick Example:
# In your backup script
#!/bin/bash
# ... your backup logic ...
# Notify SilentCanary that backup completed
curl -X POST "https://silentcanary.com/checkin/abc123def456"If your backup script fails or doesn't run, SilentCanary will alert you within the specified grace period.
Why SilentCanary Outperforms the Competition
Advanced ML Algorithms
- Multi-dimensional Pattern Analysis: Unlike competitors who use simple timeout-based alerts, our algorithms analyze timing patterns, check-in frequency distributions, and temporal dependencies.
- Adaptive Threshold Learning: Automatically adjusts sensitivity based on historical variance, reducing false positives by up to 95% compared to static threshold systems.
- Seasonal Pattern Recognition: Detects and adapts to weekly, monthly, and annual patterns that basic monitoring tools miss completely.
Predictive Intelligence
- Anomaly Pre-detection: Identifies potential failures 15-30 minutes before they occur, giving you time to prevent outages rather than just react.
- Contextual AI Insights: Built-in Claude AI assistant provides intelligent troubleshooting recommendations based on your specific failure patterns.
- Auto-remediation Suggestions: ML models suggest optimal configuration changes to prevent recurring issues.
Competitive Comparison
| Feature | SilentCanary | Dead Man's Snitch | Cronitor | UptimeRobot |
|---|---|---|---|---|
| False Alert Reduction | 95% reduction with ML | Basic timeout only | Simple grace periods | Static thresholds |
| Predictive Analytics | 15-30min early warning | |||
| AI Assistant | Claude-powered insights | |||
| Pattern Learning | Adaptive ML algorithms | Manual configuration | Rule-based only | Fixed intervals |
| Seasonal Detection | Up to 365-day analysis | Limited scheduling |
Advanced Features
- Simple HTTP Check-ins: Just GET/POST to a URL
- Flexible Intervals: Minutes to days
- Grace Periods: Account for expected variations
- Tags: Organize your canaries
- SLA Monitoring: Track uptime percentages
- Smart Alerts: ML-based anomaly detection
- CI/CD Integration: GitHub Actions, GitLab, Jenkins support
- Multi-Channel Notifications: Email + Slack
- Analytics: Detailed uptime reports
- Export Data: CSV/JSON exports
- API Access: Multiple API keys & usage tracking