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Ensuring Business Continuity within the Borderless Enterprise in 2015

Bruce Kosbab

The borderless enterprise will become a topic of increasing prevalence in 2015. This phenomenon is being driven by the adoption of cloud, mobile devices and wireless access. The underlying technologies have acted as a catalyst for the transformation currently taking place in what has traditionally been thought of as the enterprise network. As far as the enterprise itself is concerned, the perimeters are disappearing.

As borderless enterprises proliferate, IT teams are experiencing new difficulties in ensuring Quality of Experience while continuing to support the business objectives of their workforce.

Cloud technologies, particularly Software-as-a-Service (SaaS) applications, have enabled non-IT groups within the enterprise to treat the cloud like a veritable IT vending machine. In a borderless enterprise, business operations teams, sales, marketing, manufacturing, HR and the line of business groups, can procure and implement their own applications, often without IT involvement.

This dynamic is a blessing and a curse for network teams within enterprises. With this newfound flexibility comes often-overlooked challenges and hurdles for IT teams. Business users are accessing applications, hosted in the cloud and purchased by enterprise business executives (not IT), while using their own devices to access those applications, over third-party infrastructure, which IT neither owns nor manages. All of this is going on and IT is still responsible for ensuring the end-user experience of all of those users, regardless of how, when, where and what applications they are using.

The five greatest challenges for ensuring Quality of Experience in a borderless enterprise include:

1. IT is caught unaware

Once upon a time, new application deployments were well planned, with change management processes, user acceptance testing and organization-wide communications. Today, this is no longer the case. End users bypass the traditional IT process because they can, resulting in faster deployment and, arguably, increased business efficiency. Yet when problems occur, the network team is still required to solve them even though they may have never initiated the deployment..

2. The blame game intensifies

Organizations often look for a scapegoat when things go wrong. In a borderless enterprise, finding someone to blame becomes more complex because users are now involved in choosing and deploying applications and services without input from IT teams. This leads to longer problem resolution times due to less clarity of the root cause.

3. Heightened complexity for enterprise IT

Current technology trends, user mobility and behavior drive IT complexity. While the cloud can simplify the enterprise, the ease with which business users can deploy new technology introduces much more complexity in the delivery chain than ever before.

4. Reduced visibility

IT teams do not have the same level of visibility in managing the end-user experience of cloud applications compared with on-premise applications. Applications that once ran inside a controlled corporate network are now running in any number of locations in the cloud. Their performance relies on the best-effort nature of the Internet, making it difficult for network teams to gather the necessary data to address application and network problems. Contributing to the blindness is that mobile users use third-party networks, which IT departments have no visibility into.

5. Many problems can’t be solved with a product

Many problems can’t be solved with just the product. Instead of simply improving the speed at which problems are found and fixed, organizations need to reduce overall occurrences. The key is to strategically choose tool vendors and service providers, create processes for adopting cloud applications, instill proactive management procedures, change the design of the enterprise architecture and acquire new IT skillsets.

To evolve along with the borderless enterprise of 2015, organizations need to commit to measuring true Quality of Experience for end-users, evaluating service level agreements (SLAs) of SaaS providers, establishing standard operating procedures for the adoption of cloud technologies and applications, and choosing tools that work harmoniously within the existing ecosystem and support primary IT objectives.

Bruce Kosbab is CTO of Fluke Networks.

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Ensuring Business Continuity within the Borderless Enterprise in 2015

Bruce Kosbab

The borderless enterprise will become a topic of increasing prevalence in 2015. This phenomenon is being driven by the adoption of cloud, mobile devices and wireless access. The underlying technologies have acted as a catalyst for the transformation currently taking place in what has traditionally been thought of as the enterprise network. As far as the enterprise itself is concerned, the perimeters are disappearing.

As borderless enterprises proliferate, IT teams are experiencing new difficulties in ensuring Quality of Experience while continuing to support the business objectives of their workforce.

Cloud technologies, particularly Software-as-a-Service (SaaS) applications, have enabled non-IT groups within the enterprise to treat the cloud like a veritable IT vending machine. In a borderless enterprise, business operations teams, sales, marketing, manufacturing, HR and the line of business groups, can procure and implement their own applications, often without IT involvement.

This dynamic is a blessing and a curse for network teams within enterprises. With this newfound flexibility comes often-overlooked challenges and hurdles for IT teams. Business users are accessing applications, hosted in the cloud and purchased by enterprise business executives (not IT), while using their own devices to access those applications, over third-party infrastructure, which IT neither owns nor manages. All of this is going on and IT is still responsible for ensuring the end-user experience of all of those users, regardless of how, when, where and what applications they are using.

The five greatest challenges for ensuring Quality of Experience in a borderless enterprise include:

1. IT is caught unaware

Once upon a time, new application deployments were well planned, with change management processes, user acceptance testing and organization-wide communications. Today, this is no longer the case. End users bypass the traditional IT process because they can, resulting in faster deployment and, arguably, increased business efficiency. Yet when problems occur, the network team is still required to solve them even though they may have never initiated the deployment..

2. The blame game intensifies

Organizations often look for a scapegoat when things go wrong. In a borderless enterprise, finding someone to blame becomes more complex because users are now involved in choosing and deploying applications and services without input from IT teams. This leads to longer problem resolution times due to less clarity of the root cause.

3. Heightened complexity for enterprise IT

Current technology trends, user mobility and behavior drive IT complexity. While the cloud can simplify the enterprise, the ease with which business users can deploy new technology introduces much more complexity in the delivery chain than ever before.

4. Reduced visibility

IT teams do not have the same level of visibility in managing the end-user experience of cloud applications compared with on-premise applications. Applications that once ran inside a controlled corporate network are now running in any number of locations in the cloud. Their performance relies on the best-effort nature of the Internet, making it difficult for network teams to gather the necessary data to address application and network problems. Contributing to the blindness is that mobile users use third-party networks, which IT departments have no visibility into.

5. Many problems can’t be solved with a product

Many problems can’t be solved with just the product. Instead of simply improving the speed at which problems are found and fixed, organizations need to reduce overall occurrences. The key is to strategically choose tool vendors and service providers, create processes for adopting cloud applications, instill proactive management procedures, change the design of the enterprise architecture and acquire new IT skillsets.

To evolve along with the borderless enterprise of 2015, organizations need to commit to measuring true Quality of Experience for end-users, evaluating service level agreements (SLAs) of SaaS providers, establishing standard operating procedures for the adoption of cloud technologies and applications, and choosing tools that work harmoniously within the existing ecosystem and support primary IT objectives.

Bruce Kosbab is CTO of Fluke Networks.

Hot Topics

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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...