Devaten

Devaten – AI-Driven Real-Time Database Monitoring Tool

Devaten is an AI-powered, on-premise database monitoring solution designed to deliver real-time observability, instant alerts, and actionable recommendations. It operates securely within a Docker-based environment, requiring no external integrations for basic scheduling, and integrates smoothly with ticketing systems and AI analytics to optimize data operations across industries.

Key capabilities include real-time monitoring of critical data points (inventory, payments, client growth, etc.), AI-generated recommendations when thresholds are breached, and comprehensive data analysis using AI-driven forecasting and digital twin technology. The platform emphasizes secure, on-premises deployment, rapid incident response, and cost-efficient optimization for large-scale database ecosystems (e.g., enterprises managing hundreds of databases).

How it works

• Real-time data monitoring with minute-level checks.
• Threshold-based alerts trigger AI-powered recommendations for immediate action.
• AI-driven analytics analyze trends, forecast outcomes, and support decision-making.
• On-premises deployment using Docker; no external scheduling required for basic operations.
• Seamless integration with ticketing systems for streamlined issue handling.
• Supports data sources and metrics from Prometheus, AWS, and Azure, enabling unified observability.

Why Devaten

• Cutting-edge AI for unparalleled insights into database performance.
• Secure on-premise operation with Docker, reducing exposure and compliance concerns.
• Proactive automation to reduce downtime, improve efficiency, and lower costs.
• Scalable for large organizations managing numerous databases.

Core Use Cases

• Real-time performance optimization for databases
• AI-driven anomaly detection and auto-tuning
• Inventory and financial trend forecasting
• Digital twin-based scenario planning across multiple data domains

How to Use Devaten

1. Deploy the Devaten scheduler in a secure on-premises Docker environment.
2. Connect to your data sources (Prometheus, AWS, Azure) and configure monitored metrics.
3. Set customizable thresholds and ticketing integrations.
4. Monitor real-time dashboards and respond to AI-generated recommendations.

Safety and Compliance

• On-premises deployment minimizes data exposure.
• Customizable access controls and security settings to align with organizational policies.

Core Features

• Real-Time Monitoring with minute-by-minute data checks
• AI-Powered Threshold Alerts and Immediate Action Recommendations
• AI-Driven Analytics for forecasting, anomaly detection, and digital twin insights
• On-Premises Deployment via Docker (no external scheduling required for basic use)
• Seamless Ticketing System Integration for streamlined issue handling
• Compatibility with Prometheus, AWS, and Azure data sources
• Inventory Forecasting and cross-domain analytics