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5 Trends for the Hybrid Enterprise in 2015

Steve Riley

The following are five trends regarding the hybrid enterprise in 2015 provided by Riverbed:

1. Network functions virtualization takes off, even without SDN

2015 will see continued development of SDN technologies, and buyer confusion will not abate as the incumbent switch and router vendors jockey for position. But NFV, already being widely deployed into service providers, will make its way into “classical” enterprise networks without the need for any SDN refresh (which, curiously, may require new hardware). Virtualized network functions allow organizations to dynamically provision networks wherever they’re needed, on an on-demand basis, independent of any underlying fabric.

2. Data breaches grow larger and more frequent

Unfortunately, the relentless pace of data breaches in 2014 will continue in 2015. Traditional security tactics, such as relying on “hardened” perimeters and rigid mobile device management will have little effect at slowing down the bad guys. Enterprises should shift investments and spend more on detection and response. Visibility across all applications, networks, and devices is the first critical step toward improving overall security posture. Establishing a baseline of what’s “normal” helps to better isolate actual threats and respond accordingly.

3. Hybrid architectures become the norm

Even though cloud computing and third party hosting will continue their rapid expansion, on-premise IT will remain a reality for 2015 and beyond. The resulting hybrid infrastructure stack will create challenges for most organizations ­including architectural “collisions,” where design patterns for on-premise development and deployment don’t translate well (or at all) into cloud. Working through these challenges will require more sophisticated models, policies, identity/access controls, and coding practices to ensure that end-user needs are met consistently across all platforms.

4. Decision-making becomes primarily driven by actionable analytics

As visibility, control, and optimization are brought to hybrid networks it will become increasingly important to construct an analytics-driven infrastructure that can take action when problems occur anywhere in the network. In 2015, more IT organizations will begin instrumenting network architectures with predictive analytics to create self-correcting, self-generating networks that respond to business needs and intents. This will be an ongoing trend starting in 2015.

5. Location transforms from a constraint into a feature

The technologies that will emerge in 2015 — ­full stack virtualization, pervasive visibility, and hybrid deployments — ­will create a form of infrastructure mobility that allows organizations to optimize for location of data, applications, and people. Regulatory policies that govern data locations will cease to become an impediment, and rapid access to that data will become possible for anyone, regardless of where they may happen to reside. Organizations that adopt these technologies will achieve new kinds of competitive advantages as a result.

Steve Riley is Technical Director, Office of CTO at Riverbed Technology.

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5 Trends for the Hybrid Enterprise in 2015

Steve Riley

The following are five trends regarding the hybrid enterprise in 2015 provided by Riverbed:

1. Network functions virtualization takes off, even without SDN

2015 will see continued development of SDN technologies, and buyer confusion will not abate as the incumbent switch and router vendors jockey for position. But NFV, already being widely deployed into service providers, will make its way into “classical” enterprise networks without the need for any SDN refresh (which, curiously, may require new hardware). Virtualized network functions allow organizations to dynamically provision networks wherever they’re needed, on an on-demand basis, independent of any underlying fabric.

2. Data breaches grow larger and more frequent

Unfortunately, the relentless pace of data breaches in 2014 will continue in 2015. Traditional security tactics, such as relying on “hardened” perimeters and rigid mobile device management will have little effect at slowing down the bad guys. Enterprises should shift investments and spend more on detection and response. Visibility across all applications, networks, and devices is the first critical step toward improving overall security posture. Establishing a baseline of what’s “normal” helps to better isolate actual threats and respond accordingly.

3. Hybrid architectures become the norm

Even though cloud computing and third party hosting will continue their rapid expansion, on-premise IT will remain a reality for 2015 and beyond. The resulting hybrid infrastructure stack will create challenges for most organizations ­including architectural “collisions,” where design patterns for on-premise development and deployment don’t translate well (or at all) into cloud. Working through these challenges will require more sophisticated models, policies, identity/access controls, and coding practices to ensure that end-user needs are met consistently across all platforms.

4. Decision-making becomes primarily driven by actionable analytics

As visibility, control, and optimization are brought to hybrid networks it will become increasingly important to construct an analytics-driven infrastructure that can take action when problems occur anywhere in the network. In 2015, more IT organizations will begin instrumenting network architectures with predictive analytics to create self-correcting, self-generating networks that respond to business needs and intents. This will be an ongoing trend starting in 2015.

5. Location transforms from a constraint into a feature

The technologies that will emerge in 2015 — ­full stack virtualization, pervasive visibility, and hybrid deployments — ­will create a form of infrastructure mobility that allows organizations to optimize for location of data, applications, and people. Regulatory policies that govern data locations will cease to become an impediment, and rapid access to that data will become possible for anyone, regardless of where they may happen to reside. Organizations that adopt these technologies will achieve new kinds of competitive advantages as a result.

Steve Riley is Technical Director, Office of CTO at Riverbed Technology.

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The Latest

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

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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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...