INTELLIGENT INFRASTRUCTURE AUTOMATION PLATFORM
Take the right decisions about technology infrastructure
InfraGraf® is a patented, intelligent infrastructure automation platform that optimizes enterprise technology infrastructure investments.
What is InfraGraf® ?
InfraGraf® is a big data, complex event processing engine that enables enterprises to innovate and make strategic decisions about their technology infrastructure through actionable insights by correlation and causation analysis of structured and unstructured data.
How does InfraGraf® Work?
InfraGraf® models enterprise technology infrastructure comprising of complex systems such as interconnected servers, network devices, internet of things, and industrial equipment. The powerful machine learning and graph theory-based algorithms built into the platform identify and predict stand-alone as well as chain of events and incidents, which could be related to system warnings, failures, outages, performance, availability, and sub-optimal performance.
Device Health Prediction
Provides early warning system for device and component failure. It also identifies inter dependencies and 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 suggests the need to go on cloud
Root Cause Analysis
Generates root cause analysis of incidences, failure, and performance. Provides drilldown of geo spatial analysis
Prediction model helps in optimizing maintenance schedule, service downtime, and respective resource planning
Redesigns vendor SLAs 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 defects and automates the repeatable tasks with respect to monitoring and resolution
Optimal Network Design
Redesigns the network to optimize performance by monitoring and predicting redundancies and errors