Auto Discovery Engine
Qinfinite's Auto Discovery Engine continuously scans your technology ecosystem to identify applications, services, infrastructure, and dependencies in real time. It builds a living system map that powers observability, automation, and intelligent operations across cloud, on-prem, and hybrid environments.
Key Outcomes
- Discover applications, services, and dependencies automatically
- Map infrastructure across cloud, on-prem, and hybrid environments
- Build the foundation for intelligent automation and AI-driven operations
How It Works
The Auto Discovery Engine operates through five continuous stages:
| Stage | What Happens |
|---|---|
| 1. Environment Discovery | Automatically detect IT components -- servers, containers, databases, and applications -- across cloud, on-premise, and hybrid environments |
| 2. Application Mapping | Identify relationships between applications, services, APIs, and infrastructure to create complete service dependency maps |
| 3. Dependency Intelligence | Understand system interactions so incidents, risks, and performance issues trace to root causes faster |
| 4. Continuous Monitoring | Update environment topology continuously as new systems, services, and changes occur |
| 5. Knowledge Graph Integration | All discovered assets feed into the Enterprise Knowledge Graph, enabling AI-driven insights, automation, and predictive operations |
Key Benefits
Complete Visibility Across Your IT Ecosystem
Auto Discovery eliminates blind spots across complex enterprise environments, giving operations teams a continuously updated view of systems, services, and dependencies.
Unified Infrastructure Visibility
Automatically discover servers, containers, databases, applications, and cloud resources across all environments without manual inventory.
Real-Time Dependency Mapping
Understand how applications interact so teams can diagnose issues faster and reduce downtime. Dependencies are mapped automatically and updated in real time.
Accelerated Incident Resolution
Identify root causes quickly by tracing dependencies across infrastructure and services, reducing mean time to resolution (MTTR).
Foundation for AI-Driven Operations
Discovery feeds the Enterprise Knowledge Graph, enabling intelligent automation, predictive insights, and agentic workflows powered by accurate, up-to-date system context.
Why Traditional Discovery Falls Short
| Challenge | Traditional Tools | Qinfinite |
|---|---|---|
| Infrastructure visibility | Struggle with containers, microservices, and dynamic cloud infrastructure | Discovers modern and legacy infrastructure automatically |
| System maps | Manual CMDB updates become inaccurate as systems change | Continuously updated, living system map |
| Tool integration | Monitoring, incident management, and security tools operate in silos | Unified discovery feeds all operational capabilities |
Use Cases
Auto Discovery powers intelligent operations across multiple domains:
- AIOps & Observability -- Detect anomalies faster with complete infrastructure visibility
- Incident & Problem Management -- Trace issues across services and infrastructure dependencies
- Cloud Cost & FinOps -- Identify unused resources and hidden dependencies driving costs
- Security & Compliance -- Discover shadow IT, unauthorized systems, and unknown assets