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GAVS Enabling Zero Incident Enterprise

April 8, 2016

GAVS Technologies (GAVS) is a global IT services & solutions provider enabling enterprises in their digital transformation journey through infrastructure solutions.

With the dynamically changing business models and advances in technologies, IT organizations are continuously looking at ways to streamline operations without manual intervention and at reduced cost. GAVS has created a next generation Zero Incident Framework (ZIF) that enables enterprises to reach a zero incident state. ZIF helps to detect and mitigate incidents even before they occur using Instrumentation, Real User Monitoring, Automation, Predictive Analytics, DevOps and Virtualized Desktops. This is facilitated through a next-generation, Millennial friendly service desk with seamless social media collaboration. This helps bring predictability into the IT operations, reduce manual interventions and drive towards a higher availability of business services.

GAVS is utilizing the tools within the Microsoft Azure stack, comprised of Application Insights, Operational Insights, Machine Learning, PowerShell and Desired State Configuration to develop the Zero Incident Framework.

“GAVS is committed to be a trusted partner of its clients and the ZIF framework coupled with other tools and frameworks will significantly help to redefine their IT Infrastructure Landscape.”, says Sumit Ganguli, CEO, GAVS Technologies.

“The application insights, machine learning capabilities of Azure allowed GAVS to capture and correlate relevant events from their systems and enabled them to do predictive risk management by detecting incidents before they occur and dramatically improve the availability of their business services,”said Herain Oberoi, director of product marketing, Microsoft.

CONTACT

Anand Paramasamy
+91 98409 72314
marketing@gavstech.com

Excerpt

GAVS Technologies (GAVS) is a global IT services & solutions provider enabling enterprises in their digital transformation journey through infrastructure solutions.

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