- About Us
- Investor Relations
- Newsroom & Media
- Corporate Social Responsibility
- Our Subsidiaries
InfraGraf® is an intelligent infrastructure automation platform that optimizes enterprise technology infrastructure investments.
What is InfraGraf® ?
InfraGraf® is a Big Data complex event processing engine which enables enterprises to innovate and make strategic decisions regarding their technology infrastructure through actionable insights by correlation and causation analysis structured and unstructured data.
How does InfraGraf® work?
InfraGraf® models enterprise technology infrastructure as complex systems consisting of interconnected servers, network devices, internet of things, industrial equipment etc. The powerful machine learning and graph theory based algorithms built into the platform identifies and predicts stand-alone as well as chain of events and incidents which could be related to system warnings, failures, outages, performance, availability and sub-optimal performances.
CORE FUNCTIONALITIES OF INFRAGRAF®
Device health prediction
Provides early warning system for device and component failure.Identifies inter dependencies, cascading and ripple effect.
Spare part inventory management
predicts inventory requirement at each and every location to reduce costly downtime and optimized inventory
Optimizes on premise and virtual server capacity. Predicts the demand and suggest the need to go on cloud
Root cause analysis
Generates root cause analysis of incidences, failure and performance. Provides drill down geo spatial analysis
Prediction model helps in optimized maintenance schedule, service downtime and respective resource planning
Redesigns the vendor SLA and insurance contracts on the basis of business priorities and device health index for optimized cost
Incidence management platform offers Intelligent ticket routing, in depth incidence analysis and SLA breach reporting
Identifies the defectsand automates the repeatable tasks with respect to monitoring and resolution
Optimal network design
Redesigning the network to optimize performance by monitoring and predicting redundancies and Errors
Use Case 2
Conduct complex interdependency analytics for more accurate prediction.
Use Case 3
Undertake Root Cause Analysis (RCA) to identify the cause of failures.