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28.
November
2017.
Evanios Announces New VP of Products

Evanios Announces New VP of Products

November 20, 2017


Orlando - Evanios, the codeless, ITSM-Enabled Event Management and Monitoring platform for Enterprise IT, today announced that Kishore Ramamurthy has joined the leadership team as VP, Products. Ramamurthy comes to Evanios with decades of experience in ITOM product management at industry leading companies including IBM, BMC, Cisco and Dynatrace. Kishore will lead product strategy and product marketing in a cross-functional role.


“Evanios presents an incredible opportunity for me to help scale a successful product from a truly innovative company,” said Ramamurthy. “The market has already strongly validated Evanios’ leading vision and quick time to value. As large organizations continue to emphasize their immediate needs for integration and automation, Evanios is perfectly positioned to demonstrate value by by creating fewer, more meaningful incidents through machine learning and preconfigured logic.”


With dozens of out-of-the-box connectors to leading monitoring tools (e.g. AppDynamics, SCOM, SolarWinds, Splunk, vmWare, etc.), Evanios quickly integrates event and metric data from any source, enhances events and incidents with data from Incident, Problem, Change Management and CMDB, automates root cause and remediation, and uses machine learning to generate actionable analytics.


A free trial is available for all qualified customers: https://www.evanios.com/free-trial/.


About Evanios


Led by a team of seasoned veterans in the IT Operations Management space, Evanios has infused direct experience, respected methodology standards, and advanced machine learning into a best-in-class AIOps product that drastically reduces unnecessary alerts and low-level manual decision making from complex IT environments. The company’s innovative software solutions are trusted by some of the most prestigious Fortune 500 companies.



Contact


Kai Rostcheck

VP Marketing & Strategy

krostcheck@evanios.com





Tags: Machine Learning, Event Correlation, AIOps