Riverbed Technology has closed its acquisition of OPNET Technologies, Inc.
The Riverbed Cascade business unit and OPNET will be combined into the new Riverbed Performance Management business unit and will be led by General Manager Paul Brady.
The OPNET acquisition builds on Riverbed's strong heritage and experience in delivering solutions that improve the performance of technology for business. By combining OPNET Application Performance Management (APM) with network performance management (NPM), Riverbed is now able to offer customers performance management solutions that diagnose both application and infrastructure issues.
Whether the problem is server, application, or network-based; in a virtual, physical or Cloud infrastructure; or, using mobile or fixed clients, Riverbed performance management solutions will help application and infrastructure teams identify the problem and deliver actionable insight for solving the issue.
"Customer satisfaction, employee productivity, business agility, and the bottom line all hinge on business-critical applications working as expected," said Jerry Kennelly, Chairman and CEO at Riverbed. "The application and the underlying infrastructure on which it runs are tightly coupled, but previously were managed in fragmented technology silos. Through the OPNET acquisition, Riverbed is the only company that provides customers with the solutions needed to manage and optimize all aspects of both application and network performance in a single portfolio of products, ensuring high performance, very fast problem resolution, and an enhanced end-user experience."
Organizations that deploy Riverbed performance management solutions in concert with Riverbed optimization and acceleration technologies will benefit by not only diagnosing and troubleshooting performance issues, but will also have the solutions within their infrastructure to remediate them.
Riverbed Performance Management will allow IT organizations to:
- Collect the complete performance picture: Gathering all necessary performance data: end-user experience, clients, servers, application code, database, network - across diverse technologies and deployment models, such as cloud, web, Java, .NET, virtualization, wide area network (WAN) optimization, and software-defined data centers (SDDC).
- Automate analysis and expertise with analytics: Turning raw performance data into actionable intelligence to automate problem identification, business impact and root-cause analysis in real time. Information and workflows are tailored to the needs of different audiences - application support teams, server management teams, network managers, database administrators, and application developers.
- Communicate broadly and effectively: Providing business-focused dashboards to triage issues according to business importance. Detailed and flexible reporting enables the communication of critical performance information among all IT teams, as well as line of business managers.
"We are excited by the opportunity created by joining the Riverbed team," said Marc Cohen, Chairman and CEO of OPNET and SVP, Riverbed Performance Management, Sales & Field Operations at Riverbed. "In addition to joining a world-class technology company that has a clear vision of the importance of APM, we now have the opportunity to bring our market-leading APM solutions to the global Riverbed distribution channel."
The Latest
Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...
Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...
Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...
Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...
As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...
Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...
In MEAN TIME TO INSIGHT Episode 15, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Do-It-Yourself Network Automation ...
Zero-day vulnerabilities — security flaws that are exploited before developers even know they exist — pose one of the greatest risks to modern organizations. Recently, such vulnerabilities have been discovered in well-known VPN systems like Ivanti and Fortinet, highlighting just how outdated these legacy technologies have become in defending against fast-evolving cyber threats ... To protect digital assets and remote workers in today's environment, companies need more than patchwork solutions. They need architecture that is secure by design ...
Traditional observability requires users to leap across different platforms or tools for metrics, logs, or traces and related issues manually, which is very time-consuming, so as to reasonably ascertain the root cause. Observability 2.0 fixes this by unifying all telemetry data, logs, metrics, and traces into a single, context-rich pipeline that flows into one smart platform. But this is far from just having a bunch of additional data; this data is actionable, predictive, and tied to revenue realization ...
64% of enterprise networking teams use internally developed software or scripts for network automation, but 61% of those teams spend six or more hours per week debugging and maintaining them, according to From Scripts to Platforms: Why Homegrown Tools Dominate Network Automation and How Vendors Can Help, my latest EMA report ...