spin

IT Operation Analytics

SPIN team will help you turn your IT into profit center. We help with descriptive, predictive and prescriptive insights to detect complex issues from multiple symptoms, build remediation and automation engines so that they take actions by sending alerts, triggering a workflow or script to selfheal.

SPIN - IT Operation Analytics
  • Root Cause Analysis: The models, structures and pattern descriptions of IT infrastructure or application stack being monitored can help users pinpoint fine-grained and previously unknown root causes of overall system behavior pathologies.
  • Proactive Control of Service Performance and Availability: Predicts future system states and the impact of those states on performance.
  • Problem Assignment: Determines how problems may be resolved or, at least, direct the results of inferences to the most appropriate individuals or communities in the enterprise for problem resolution.
  • Service Impact Analysis: When multiple root causes are known, the analytics system’s output is used to determine and rank the relative impact, so that resources can be devoted to correcting the fault in the most timely and cost-effective way possible.
  • Complement Best-of-breed Technology: The models, structures and pattern descriptions of IT infrastructure or application stack being monitored are used to correct or extend the outputs of other discovery-oriented tools to improve the fidelity of information used in operational tasks (e.g., service dependency maps, application runtime architecture topologies, network topologies).
  • Real time application behavior learning: Learns & correlates the behavior of Application based on user pattern and underlying Infrastructure on various application patterns, create metrics of such correlated patterns and store it for further analysis.
  • Dynamically Baselines Threshold: Learns behavior of Infrastructure on various application user patterns and determines the Optimal behavior of the Infra and technological components, bench marks and baselines the low and high water mark for the specific environments and dynamically changes the bench mark baselines with the changing infra and user patterns without any manual intervention.

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