
Riverbed Technology has taken the next steps in its recapitalization, voluntarily commencing Chapter 11 cases to implement its “prepackaged” financial restructuring plan to reduce the Company’s debt by more than $1 billion and provide the Company with an additional $35 million cash infusion, positioning the Company for long-term success.
Lenders holding 100% of Riverbed’s funded secured debt have now approved the transactions contemplated in the previously announced Restructuring Support Agreement, which will be implemented through an accelerated court-supervised process.
“We are continuing to move forward with our accelerated recapitalization, through which we will reduce our debt by more than $1 billion, add a total of $100 million of investment capital and, in doing so, significantly simplify our balance sheet and fuel our next phase of growth,” said Dan Smoot, President and CEO of Riverbed Technology. “After thoroughly evaluating the different mechanisms through which to implement the recapitalization, our analysis made it clear that Riverbed could achieve a cleaner, more financially beneficial outcome by utilizing the court-supervised process, setting our company up for even greater growth and innovation opportunities in the future. Riverbed is a critical technology provider, as demonstrated by our strong double-digit bookings growth for our advanced visibility solutions, and with our outstanding business, talented team, market-relevant technology and great brand, this process will only make us stronger. We expect this to be seamless for our stakeholders, including customers and partners, and we look forward to completing the court-supervised process."
Smoot continued, “The overwhelming support we’ve received from our investors is a testament to their confidence in our growth prospects and in Riverbed following the recapitalization. Furthermore, since we announced this development, many of our customers and business partners have voiced their support and confidence in Riverbed. I would also like to thank our talented team members, who have been unwavering in their focus and commitment to delivering leading end-to-end visibility and network performance and acceleration solutions to our customers.”
As previously announced on October 13, 2021, the Company entered into a Restructuring Support Agreement with its equity sponsors and an ad hoc group of lenders (the “Ad Hoc Group”) holding a super-majority of its funded secured debt. Once the restructuring transactions, which are subject to customary closing conditions, are complete, the Ad Hoc Group of institutional investors including Apollo, will become the majority owners of Riverbed through their managed funds.
To implement the prepackaged plan, the Company has voluntarily filed for reorganization under Chapter 11 of the Bankruptcy Code in the United States Bankruptcy Court for the District of Delaware and expects to successfully complete its financial restructuring process and emerge in mid-December. Riverbed’s operations and the acceleration of its strategy will continue as normal. In connection with the filing, Riverbed has filed a number of customary motions with the Court seeking authorization to support its operations while the process is ongoing.
Riverbed’s advisors include Kirkland & Ellis LLP as legal counsel, AlixPartners as restructuring advisor, and GLC Advisors & Co. as investment banker.
The Ad Hoc Group’s advisors include White & Case LLP as legal counsel and Centerview Partners as financial advisor. Davis Polk & Wardwell LLP is acting as counsel to certain members of the Ad Hoc Group.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
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 ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...