Skip to main content

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.

Hot Topics

The Latest

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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.

Hot Topics

The Latest

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...