InfraGraf is an intelligent infrastructure automation platform that optimizes enterprise technology infrastructure investments.
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.
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.
InfraGraf provides early warning system for device and component failure. It also Identifies inter dependencies, cascading and ripple effect between them.
InfraGraf predicts inventory requirement at each and every location to reduce costly downtime and optimized inventory.
InfraGraf optimizes on premise and virtual server capacity. It predicts the demand and suggest when enterprises need to go on cloud or extend the virtual capacity.
InfraGraf generates root cause analysis of incidences, failure and performance with the help of errors, logs, bandwidth and tickets. It provides drill down geo spatial analysis.
InfraGraf prediction model helps enterprises to optimized maintenance schedule, service downtime and respective resource planning.
InfraGraf redesigns the vendor SLA and insurance contracts on the basis of business priorities and device health index for optimized cost.
InfraGraf incidence management platform offers Intelligent ticket routing, in depth incidence analysis and SLA breach reporting.
InfraGraf not only identifies the defects but it automates the repeatable tasks with respect to monitoring and resolution.
Redesigning the network to optimize performance by monitoring and predicting redundancies and Errors.
Overview: Eliminate IT Infrastructure downtime.
Cost of downtime caused by infrastructure failure is $5600/minute or more. In addition to this it leads to unhappy customers and a loss of productivity. InfraGraf identifies & predicts key incidences leading to major failures in IT infrastructure
Overview: Conduct complex interdependency analytics for more accurate prediction.
Enterprise technology infrastructures are complex systems where multiple systems, devices and sensors are connected to each other. 80% of development funds are spent identifying and fixing defects. These interdependencies lead to cascading effects in the system. InfraGraf identifies error dependencies between system components and predicts sequence of events between affected systems to prevent interconnected failures.
Overview: Undertake Root Cause Analysis (RCA) to identify the cause of failures.
More than 80% of the time is spent on isolating and diagnosing problems. InfraGraf facilitates in reducing this time through Root Cause Analysis (RCA) or failure investigation. This helps service engineers to identify the reason for breakdown and take corrective actions at the earliest.
Overview: Optimise Infrastructure incidence management.
InfraGraf facilitates efficient incidence management through ticket and resource prediction automated ticket logging, resolution and analysis
Overview: Predict business needs and optimize costs.
Based on a research Upto 30% of servers are comatose and no longer needed, which could lead to lowering infrastructure and maintenance costs. Based on historical analysis and pattern matching, InfraGraf predicts the demand and makes recommendations as to when enterprises need to go on cloud or extend or reduce the virtual capacity for optimized cost.