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
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...
IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...
Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...
Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...
For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...
PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...
The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...
Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...