Skip to main content

Turn/River Completes Acquisition of SolarWinds

SolarWinds Corporation announced the closing of its acquisition by Turn/River Capital. 

The transaction is valued at approximately $4.4 billion, with SolarWinds stockholders receiving $18.50 per share in cash. With the closing of the transaction, SolarWinds common stock has ceased trading, and the Company is no longer listed on the New York Stock Exchange.

“With Turn/River as our new owner, we remain committed to continuing our tradition of helping customers transform their businesses through simple, powerful, and secure solutions for hybrid and multi-cloud environments. We are excited to provide operational resilience on our SolarWinds Platform by utilizing our observability, monitoring, and service desk solutions,” said Sudhakar Ramakrishna, President and CEO of SolarWinds. “This successful transaction and partnership highlight our employees’ exceptional work in building solutions and delivering customer success,” said Ramakrishna. “We believe Turn/River’s expertise will help SolarWinds drive innovation and deliver greater value to customers and stakeholders.”

“With the recent launch of next-generation solutions that integrate observability, incident response, service management, and AI-powered automation, SolarWinds is redefining what it means to achieve operational resilience in complex hybrid IT environments,” said Matthew Amico, Partner at Turn/River Capital. “We are excited to partner with SolarWinds to build on this momentum, investing further in product innovation and empowering organizations worldwide to thrive in an era of rapid technological change.”

Advisors: Goldman Sachs & Co. LLC acted as the lead financial advisor to SolarWinds, Jefferies LLC also acted as a financial advisor to SolarWinds, and DLA Piper LLP (US) acted as SolarWinds' legal counsel. J.P. Morgan, Barclays, Santander, and RBC Capital Markets acted as financial advisors to Turn/River, and Kirkland & Ellis LLP acted as legal counsel for Turn/River.

The Latest

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

Turn/River Completes Acquisition of SolarWinds

SolarWinds Corporation announced the closing of its acquisition by Turn/River Capital. 

The transaction is valued at approximately $4.4 billion, with SolarWinds stockholders receiving $18.50 per share in cash. With the closing of the transaction, SolarWinds common stock has ceased trading, and the Company is no longer listed on the New York Stock Exchange.

“With Turn/River as our new owner, we remain committed to continuing our tradition of helping customers transform their businesses through simple, powerful, and secure solutions for hybrid and multi-cloud environments. We are excited to provide operational resilience on our SolarWinds Platform by utilizing our observability, monitoring, and service desk solutions,” said Sudhakar Ramakrishna, President and CEO of SolarWinds. “This successful transaction and partnership highlight our employees’ exceptional work in building solutions and delivering customer success,” said Ramakrishna. “We believe Turn/River’s expertise will help SolarWinds drive innovation and deliver greater value to customers and stakeholders.”

“With the recent launch of next-generation solutions that integrate observability, incident response, service management, and AI-powered automation, SolarWinds is redefining what it means to achieve operational resilience in complex hybrid IT environments,” said Matthew Amico, Partner at Turn/River Capital. “We are excited to partner with SolarWinds to build on this momentum, investing further in product innovation and empowering organizations worldwide to thrive in an era of rapid technological change.”

Advisors: Goldman Sachs & Co. LLC acted as the lead financial advisor to SolarWinds, Jefferies LLC also acted as a financial advisor to SolarWinds, and DLA Piper LLP (US) acted as SolarWinds' legal counsel. J.P. Morgan, Barclays, Santander, and RBC Capital Markets acted as financial advisors to Turn/River, and Kirkland & Ellis LLP acted as legal counsel for Turn/River.

The Latest

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...