Skip to main content

At Interop 2013 New York, the Application Economy Rises (Again)

Jim Rapoza

During his keynote speech at the recent Interop 2013 conference in New York, Cisco CEO John Chambers talked about how technology trends are moving towards a focus on applications. Chambers said, “We're moving from a web economy to an application economy.”

This focus could be seen in many areas of the busy but smaller (compared to the earlier spring Interop in Las Vegas) show floor. The classic big iron networking pitches of more, bigger, faster and better hardware were being replaced by claims of improved application performance, better end-user experience and effective application delivery.

Of course, we heard many of the same pitches a year and a half ago at spring Interop 2012. One could have expected this trend to continue steadily, but the last two Interop shows took unexpected turns due to the rapid growth of, and interest in, Software Defined Networks.

SDN hasn't gone away, in fact, it was very prevalent at the New York Interop this October. But the push to application focus is back, and in some ways aided by the rise of SDN.

For the most part, it was good to hear Chambers and Cisco talk about the importance of applications. The more big vendors are focused on helping organizations build, deliver and manage high-performing services and applications, the more likely it will be that we'll see improved application capabilities across the board.

Among some of the other trends in focus at Interop 2012 was the Internet of things or Machine to Machine, looking at the challenges and opportunities that arise when everything, computers to printers to vending machines to you name it, has an IP address and connects to networks. There was also more than a bit of discussion about reigning in the impact of Bring Your Own Device (BYOD). In this area, it was refreshing to see more vendors talk about better ways that networks can identify, connect and manage BYOD devices in a light and seamless manner without requiring heavy clients or other old school mobile device management solutions.

Jim Rapoza is Senior Research Analyst at Aberdeen Group.

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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 ...

At Interop 2013 New York, the Application Economy Rises (Again)

Jim Rapoza

During his keynote speech at the recent Interop 2013 conference in New York, Cisco CEO John Chambers talked about how technology trends are moving towards a focus on applications. Chambers said, “We're moving from a web economy to an application economy.”

This focus could be seen in many areas of the busy but smaller (compared to the earlier spring Interop in Las Vegas) show floor. The classic big iron networking pitches of more, bigger, faster and better hardware were being replaced by claims of improved application performance, better end-user experience and effective application delivery.

Of course, we heard many of the same pitches a year and a half ago at spring Interop 2012. One could have expected this trend to continue steadily, but the last two Interop shows took unexpected turns due to the rapid growth of, and interest in, Software Defined Networks.

SDN hasn't gone away, in fact, it was very prevalent at the New York Interop this October. But the push to application focus is back, and in some ways aided by the rise of SDN.

For the most part, it was good to hear Chambers and Cisco talk about the importance of applications. The more big vendors are focused on helping organizations build, deliver and manage high-performing services and applications, the more likely it will be that we'll see improved application capabilities across the board.

Among some of the other trends in focus at Interop 2012 was the Internet of things or Machine to Machine, looking at the challenges and opportunities that arise when everything, computers to printers to vending machines to you name it, has an IP address and connects to networks. There was also more than a bit of discussion about reigning in the impact of Bring Your Own Device (BYOD). In this area, it was refreshing to see more vendors talk about better ways that networks can identify, connect and manage BYOD devices in a light and seamless manner without requiring heavy clients or other old school mobile device management solutions.

Jim Rapoza is Senior Research Analyst at Aberdeen Group.

Hot Topics

The Latest

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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 ...