We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advertisement

NantHealth Acquires OpenNMS, World’s Largest Open Source Network Management Application Platform

NantHealth Acquires OpenNMS, World’s Largest Open Source Network Management Application Platform content piece image
Credit: TheDigitalArtist/Pixabay
Listen with
Speechify
0:00
Register for free to listen to this article
Thank you. Listen to this article using the player above.

Want to listen to this article for FREE?

Complete the form below to unlock access to ALL audio articles.

Read time: 1 minute

NantHealth, Inc., a next-generation, evidence-based, personalized healthcare company, has announced the acquisition of The OpenNMS Group, Inc., an open-source network management company, which will operate as a subsidiary of NantHealth. The transaction closed on July 22, 2020.

“OpenNMS has set the standard for open-source network monitoring since 2000 with its enterprise-grade network management platform,” said Ron Louks, Chief Operating Officer, NantHealth. “We are thrilled to have them join the NantHealth family.

“This acquisition not only expands and diversifies NantHealth’s software portfolio and service offerings, but it expands our company-wide capabilities in cloud, SaaS and AI technologies. OpenNMS, we believe, will provide our customers with a new world class set of services to maintain reliable network connections for critical data flows that enable patient data collaboration and decision making at the point of care.”

Based in Morrisville, NC, OpenNMS provides a reliable, scalable and comprehensive fault, performance and traffic monitoring solution that easily integrates with business applications and workflows to monitor and visualize everything in a network. The OpenNMS platform monitors some of the largest networks in existence, covering the healthcare, technology, finance, government, education, retail and industrial sectors, many with tens of thousands of networked devices. OpenNMS customers include three of the top 5 companies on the Fortune 100, as well as multiple large and multi-state health providers and one of the largest electronic medical record providers in the United States.

“I’m delighted for our organization to join the talented team of software and artificial intelligence engineers at NantHealth, which will enable OpenNMS to accelerate our adoption of machine learning and data science technologies,” said David Hustace, CEO of OpenNMS. “This transaction strengthens our internal capabilities as we move to offer SaaS-based solutions to our customers across all industries, while also expanding our penetration in the healthcare industry.”

The OpenNMS platform provides key insights and analytics regarding network performance and availability needed for organizations to maintain uptime across multiple environments, geographies and devices. Platform features include:

  • Event management – OpenNMS can serve as the central repository and correlation system for system logs and notifications from all devices on a network.
  • Fault management – OpenNMS actively monitors latency and tests the availability of all devices on a network using over 30 different protocols as synthetic transactions, which are further analyzed by unique machine and deep learning technologies imbedded in its Architecture for Learning Enabled Correlation (ALEC).
  • Performance measurement – OpenNMS can collect and receive streams of telemetry (time-series) data from devices on a network via multiple protocols: HTTP, SNMP, JMX, WMI/ws-man, gRPC, gpb over UDP. This data can be stored, graphed and measured for thresholds and streamed to Kafka for integration with other enterprise systems.
  • Traffic management – OpenNMS provides a highly scalable solution for actively monitoring and correlating network flows in conjunction with its fault and performance data. 


OpenNMS is continuing to expand its reliability and scalability through creation of cloud solutions and services, implementation of hardware appliances for expansion of edge monitoring, continued investment in its AI/ML enabled ALEC solution, and addition of advanced route monitoring solutions driving more data for ALEC.