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Turbonomic Acquires SevOne

Turbonomic announced the acquisition of privately-held, Boston-based SevOne.

SevOne provides customers with the world’s most scalable data platform for real-time performance management.

The acquisition enables Turbonomic and SevOne to deliver customers with application performance that is simple, scalable and self-managing.

SevOne’s platform enables networks to be agile, reliable and more efficient. It provides operational insight with speed at scale through a highly distributed, patented architecture.

Together, Turbonomic and SevOne will deliver customers better data, analytics and decisions to more comprehensively assure application performance.

- Turbonomic customers will benefit from the integration of SevOne’s highly scalable network insights and analytics for reporting detailed performance data, advancing their resource decision abilities and demonstrating business value.

- SevOne will continue to provide its customers with world-class, scalable network monitoring performance. Going forward, SevOne customers will gain comprehensive application and infrastructure data along with AI-powered analytics to derive resourcing decisions that can be automated.

“The combined entities, with unique intellectual property, have an incredible opportunity to define the future of performance. Over the last 10 years, we’ve invested $200 million to build the world’s leading Application Resource Management solution. Only Turbonomic enables customers to automate the performance management of applications across virtual, cloud and cloud-native environments,” said Benjamin Nye, CEO at Turbonomic. “In parallel, SevOne has built valuable performance-focused Intellectual Property – from the network up. As part of Turbonomic, there is greater opportunity to enable customers to deliver predictable and reliable application performance.”

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Turbonomic Acquires SevOne

Turbonomic announced the acquisition of privately-held, Boston-based SevOne.

SevOne provides customers with the world’s most scalable data platform for real-time performance management.

The acquisition enables Turbonomic and SevOne to deliver customers with application performance that is simple, scalable and self-managing.

SevOne’s platform enables networks to be agile, reliable and more efficient. It provides operational insight with speed at scale through a highly distributed, patented architecture.

Together, Turbonomic and SevOne will deliver customers better data, analytics and decisions to more comprehensively assure application performance.

- Turbonomic customers will benefit from the integration of SevOne’s highly scalable network insights and analytics for reporting detailed performance data, advancing their resource decision abilities and demonstrating business value.

- SevOne will continue to provide its customers with world-class, scalable network monitoring performance. Going forward, SevOne customers will gain comprehensive application and infrastructure data along with AI-powered analytics to derive resourcing decisions that can be automated.

“The combined entities, with unique intellectual property, have an incredible opportunity to define the future of performance. Over the last 10 years, we’ve invested $200 million to build the world’s leading Application Resource Management solution. Only Turbonomic enables customers to automate the performance management of applications across virtual, cloud and cloud-native environments,” said Benjamin Nye, CEO at Turbonomic. “In parallel, SevOne has built valuable performance-focused Intellectual Property – from the network up. As part of Turbonomic, there is greater opportunity to enable customers to deliver predictable and reliable application performance.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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