Show HN: ML/AI based process monitoring

1 month ago 5

AI-powered process monitoring with machine learning that adapts to your infrastructure patterns

Advanced ML algorithms learn your system behaviors, detect anomalies, and provide intelligent insights to prevent failures before they happen.

1 canary free forever • No credit card required • All features included

95%

False Alert Reduction

Machine Learning Anomaly Detection

Advanced ML models continuously learn your system patterns, automatically adjusting thresholds and reducing false positives by up to 95%.

AI-Driven Smart Alerts

Intelligent alert prioritization and context-aware notifications powered by natural language processing and predictive analytics.

CI/CD Integration

Built-in webhooks for GitHub, GitLab, and Jenkins. Monitor deployments automatically.

Predictive Analytics & ML Insights

Deep learning models provide predictive failure analysis, trend forecasting, and automated optimization recommendations.

Enterprise Security

End-to-end encryption, API key management, and enterprise-grade security.

Automated AI Configuration

Zero-configuration ML models automatically adapt to your infrastructure. AI assistants help optimize your monitoring setup.

AI & Machine Learning Powered

Our ML algorithms continuously analyze your system patterns, automatically adjusting monitoring thresholds and learning normal vs. abnormal behavior patterns without manual configuration.

Built-in AI chat assistant powered by Claude provides intelligent insights, troubleshooting guidance, and proactive recommendations for your monitoring setup.

Predictive Failure Detection

Advanced time-series analysis and pattern recognition predict potential failures before they occur, enabling proactive maintenance and system optimization.

Intelligent Auto-Configuration

Zero-touch setup with ML-driven configuration that automatically optimizes monitoring parameters based on your application's unique characteristics and usage patterns.