Software and solutions provider VMware recently announced their intention to acquire AIOps and network analytics vendor Nyansa. VMware will be adding Nyansa’s artificial intelligence (AI) and machine learning (ML) capabilities to their network and security portfolio, allowing customers to gain better insights true AI-driven analytics. The terms of the acquisition were not disclosed, but VMware expects the deal to be completed by the end of Q1 of VMware’s fiscal year 2021.
“The acquisition of Nyansa will accelerate VMware’s delivery of end-to-end monitoring and troubleshooting capabilities for LAN/WAN deployments within our industry-leading SD-WAN solution,” said Sanjay Uppal, vice president and general manager of VMware’s VeloCloud Business Unit. “Nyansa is a proven solution that solves many of the shortcomings of today’s vendor-specific solutions. Nyansa currently analyzes user network traffic from more than 20 million client devices across thousands of customer sites at companies including Tesla, Uber, Lululemon, Rooms To Go, GE Healthcare, SF International Airport, Stanford, Northeast Georgia Healthcare System and many others.”
This is not the first acquisition of an AIOps company by a major network monitoring company; earlier this month, LogicMonitor announced their acquisition of Unomaly. There has also been a steady increase of AI and ML features introduced in monitoring tools and suites. These points suggest that monitoring vendors are looking to AI-driven insights to provide customers with the best data possible.
“Joining forces with VMware provides an amazing platform for Nyansa to continue executing on the vision of a new networking paradigm: an analytic-powered and software-defined virtual cloud network that connects clients to containers in dynamic and distributed enterprises,” said Abe Ankumah, CEO of Nyansa. “Nyansa and VMware are perfectly aligned in technology, products and culture. Following the close of the acquisition, we will continue to advance our AI-driven multi-vendor network analytics platform and double-down on end-to-end user experience and IoT operational assurance.”
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