Skip to main content

Q&A: Riverbed Talks About APM

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Paul Brady, Senior Vice President and General Manager of Riverbed Performance Management talks about Riverbed's acquisition of OPNET and entrance into the APM market.

APM: What did Riverbed see in APM that drove you to become involved in this market?

PB: We were having great success with the network operations teams, giving them an application centric view, and that was good, but not good enough. Ultimately they wanted a deeper view into their applications, and a company that could provide that end-to-end view. We thought the distinction between so-called network performance management and application performance management was really blurring. What customers were caring about is performance management.

We felt the world of IT has evolved. Once upon a time it was about the various functions within IT saying: "It is not my fault." That model can no longer survive. It is about making sure you are proactively keeping your applications and infrastructure running.

We also saw a tremendous market opportunity. We see those two markets as very large. There is some disruption happening and we felt a vendor that could provide that end to end capability could change the way performance management happens with customers.

Regarding APM, we saw a very large market, and we saw no dominant player with a major market share. I don't think anyone enjoyed a reputation of having tools that are particularly easy to use. We saw this market as a huge opportunity particularly because as the development platforms evolve, people are going to look at new and different ways to holistically manage performance.

APM: Interesting that you mentioned the blame game because we recently posted an article on APMdigest.

PB: When we started talking to OPNET we both shared stories where people used our products as a way to have a discussion and fix that problem. There is a strong desire to get out of the blame game and to get proactive and I think it is just a natural to evolution.

APM: What attracted you to OPNET?

PB: We thought they had great customer base, a comprehensive set of products, great technology, and there was certainly great awareness of who they were. Obviously, when you do something like this you look at a variety of potential players and we thought OPNET had the most comprehensive complementary suite and really strong technology.

APM: Currently it looks like you're still using the OPNET brand. Is that the plan for the future?

PB: No, I would say we're leveraging the brand. We have Cascade and OPNET, and these are under the umbrella of Riverbed Performance Management, and you'll see that manifested on our website.

For now, all the product names, both Cascade and OPNET, will stay the same. We thought that would minimize confusion, and we will continue to leverage the awareness of OPNET, but when we describe the business as part of a Riverbed we call it Riverbed Performance Management. It will take a year to multiple years to figure out how we want rebrand, and we do not want to move too quickly to rebrand any of the product names, as first we need to figure out how to do it, and second we do not want to confuse our customers.

APM: Prior to OPNET, what capabilities did Riverbed have that would support the move into APM?

PB: We had a product called Cascade Profiler and still do. That was being characterized by the market and analysts as application-aware network performance management. So essentially it collects flow and packets and gives an end to end view of what was occurring within the environment. The network teams kept asking for an application centric view of the network, because that is how the users talk. If a user calls they might say the network is slow but it was generally: “This application is not working.” So we realized great growth with Cascade, and that was driven by our ability to show the application-aware perspective.

OPNET comes at it from a very application centric perspective, so we thought it was a great combination.

ABOUT Paul Brady

Paul Brady is Senior Vice President and General Manager, Riverbed Performance Management. Brady served as VP and GM of the Cascade Business Unit since February 2009. Brady joined Riverbed through the acquisition of Mazu Networks where he was president and CEO.

From 2001 to 2004, Brady served as President of Guardent, a network security company. From 1999 to June 2002, Brady served as SVP at Exodus Communications. Brady joined Exodus through the acquisition of Cohesive Technology Solutions where he was President. In January 1992, Brady founded Business Technologies where he served as CEO until the company merged with Cohesive in early 1998.

Brady holds a bachelor’s degree in computer systems from Hofstra University and an MBA from the Sloan School of Management at Massachusetts Institute of Technology (MIT).

Related Links:

www.riverbed.com

How Good Are You At Blamestorming?

Hot Topic
The Latest
The Latest 10

The Latest

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 ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

Q&A: Riverbed Talks About APM

Pete Goldin
APMdigest

In APMdigest's exclusive interview, Paul Brady, Senior Vice President and General Manager of Riverbed Performance Management talks about Riverbed's acquisition of OPNET and entrance into the APM market.

APM: What did Riverbed see in APM that drove you to become involved in this market?

PB: We were having great success with the network operations teams, giving them an application centric view, and that was good, but not good enough. Ultimately they wanted a deeper view into their applications, and a company that could provide that end-to-end view. We thought the distinction between so-called network performance management and application performance management was really blurring. What customers were caring about is performance management.

We felt the world of IT has evolved. Once upon a time it was about the various functions within IT saying: "It is not my fault." That model can no longer survive. It is about making sure you are proactively keeping your applications and infrastructure running.

We also saw a tremendous market opportunity. We see those two markets as very large. There is some disruption happening and we felt a vendor that could provide that end to end capability could change the way performance management happens with customers.

Regarding APM, we saw a very large market, and we saw no dominant player with a major market share. I don't think anyone enjoyed a reputation of having tools that are particularly easy to use. We saw this market as a huge opportunity particularly because as the development platforms evolve, people are going to look at new and different ways to holistically manage performance.

APM: Interesting that you mentioned the blame game because we recently posted an article on APMdigest.

PB: When we started talking to OPNET we both shared stories where people used our products as a way to have a discussion and fix that problem. There is a strong desire to get out of the blame game and to get proactive and I think it is just a natural to evolution.

APM: What attracted you to OPNET?

PB: We thought they had great customer base, a comprehensive set of products, great technology, and there was certainly great awareness of who they were. Obviously, when you do something like this you look at a variety of potential players and we thought OPNET had the most comprehensive complementary suite and really strong technology.

APM: Currently it looks like you're still using the OPNET brand. Is that the plan for the future?

PB: No, I would say we're leveraging the brand. We have Cascade and OPNET, and these are under the umbrella of Riverbed Performance Management, and you'll see that manifested on our website.

For now, all the product names, both Cascade and OPNET, will stay the same. We thought that would minimize confusion, and we will continue to leverage the awareness of OPNET, but when we describe the business as part of a Riverbed we call it Riverbed Performance Management. It will take a year to multiple years to figure out how we want rebrand, and we do not want to move too quickly to rebrand any of the product names, as first we need to figure out how to do it, and second we do not want to confuse our customers.

APM: Prior to OPNET, what capabilities did Riverbed have that would support the move into APM?

PB: We had a product called Cascade Profiler and still do. That was being characterized by the market and analysts as application-aware network performance management. So essentially it collects flow and packets and gives an end to end view of what was occurring within the environment. The network teams kept asking for an application centric view of the network, because that is how the users talk. If a user calls they might say the network is slow but it was generally: “This application is not working.” So we realized great growth with Cascade, and that was driven by our ability to show the application-aware perspective.

OPNET comes at it from a very application centric perspective, so we thought it was a great combination.

ABOUT Paul Brady

Paul Brady is Senior Vice President and General Manager, Riverbed Performance Management. Brady served as VP and GM of the Cascade Business Unit since February 2009. Brady joined Riverbed through the acquisition of Mazu Networks where he was president and CEO.

From 2001 to 2004, Brady served as President of Guardent, a network security company. From 1999 to June 2002, Brady served as SVP at Exodus Communications. Brady joined Exodus through the acquisition of Cohesive Technology Solutions where he was President. In January 1992, Brady founded Business Technologies where he served as CEO until the company merged with Cohesive in early 1998.

Brady holds a bachelor’s degree in computer systems from Hofstra University and an MBA from the Sloan School of Management at Massachusetts Institute of Technology (MIT).

Related Links:

www.riverbed.com

How Good Are You At Blamestorming?

Hot Topic
The Latest
The Latest 10

The Latest

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 ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...