Riverbed Technology has entered into a definitive agreement to acquire OPNET Technologies.
The acquisition will enable Riverbed to extend its network performance management (NPM) business into the multi-billion dollar application performance management (APM) market.
The combination of Cascade and OPNET will create a new force in the converged market for NPM and APM, with over $250 million in annualized revenue.
Networks and applications are required to work together to deliver the performance business users demand. The addition of OPNET’s broad-based family of APM products enhances Riverbed’s position in the NPM market.
“The addition of OPNET establishes Riverbed as the clear leader in the high-growth and converging application and network performance management markets,” said Jerry Kennelly, Chairman and CEO at Riverbed. “This acquisition also transforms Riverbed into a billion dollar revenue company.”
“Riverbed and OPNET have natural synergies,” said Marc Cohen, OPNET’s Chairman and CEO. “Riverbed’s leadership in accelerating business technology combined with OPNET’s industry-leading suite of APM products provides customers with a single solution for monitoring, troubleshooting and actually fixing the application and network performance problems challenging them today.”
OPNET will be combined with Riverbed’s Cascade business unit.
The purchase will be for $43 per share in cash and stock, representing an equity value of $1 billion and an enterprise value of $921 million. The transaction is expected to be accretive to Riverbed’s 2013 earnings per share on a non-GAAP basis. Leveraging the Riverbed brand, channels and infrastructure, Riverbed expects meaningful revenue and operating synergies in 2014.
The Latest
Significant improvements in operational resilience, more effective use of automation and faster time to market are driving optimism about IT spending in 2025, with a majority of leaders expecting their budgets to increase year-over-year, according to the 2025 State of Digital Operations Report from PagerDuty ...
Are they simply number crunchers confined to back-office support, or are they the strategic influencers shaping the future of your enterprise? The reality is that data analysts are far more the latter. In fact, 94% of analysts agree their role is pivotal to making high-level business decisions, proving that they are becoming indispensable partners in shaping strategy ...
Today's enterprises exist in rapidly growing, complex IT landscapes that can inadvertently create silos and lead to the accumulation of disparate tools. To successfully manage such growth, these organizations must realize the requisite shift in corporate culture and workflow management needed to build trust in new technologies. This is particularly true in cases where enterprises are turning to automation and autonomic IT to offload the burden from IT professionals. This interplay between technology and culture is crucial in guiding teams using AIOps and observability solutions to proactively manage operations and transition toward a machine-driven IT ecosystem ...
Gartner identified the top data and analytics (D&A) trends for 2025 that are driving the emergence of a wide range of challenges, including organizational and human issues ...
Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach ...
A recent Rocket Software and Foundry study found that just 28% of organizations fully leverage their mainframe data, a concerning statistic given its critical role in powering AI models, predictive analytics, and informed decision-making ...
What kind of ROI is your organization seeing on its technology investments? If your answer is "it's complicated," you're not alone. According to a recent study conducted by Apptio ... there is a disconnect between enterprise technology spending and organizations' ability to measure the results ...
In today’s data and AI driven world, enterprises across industries are utilizing AI to invent new business models, reimagine business and achieve efficiency in operations. However, enterprises may face challenges like flawed or biased AI decisions, sensitive data breaches and rising regulatory risks ...
In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions....
There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...
