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BYOD - It Started One Christmas

Jim Swepson

It started one Christmas! Executive's wives in droves worldwide purchased the latest gadget, the IPAD, for their husbands. These happy guys spent time going online and realizing quickly that they could do more on this nifty tablet than just surf the web. In fact they could pretty much do what they were doing on their laptops. It wasn't long before they took these devices into their offices – not just showing off the latest toy but a new way to make their working lives easier and it wasn't long before they were badgering their IT departments for access to company applications on these new devices.

IT departments enabled the execs and other users of BYOD (Bring Your Own Device) and with increasing confidence BYOD gained momentum as it became pervasive among many of us. But complications ensued as the users wanted this capability everywhere, so what started in the confines of the office (relatively safe LAN) now had to contend with delivering these business applications in coffee houses, on trains, transport, and home territory across WiFi, 2g, 3G home network (ISP)etc.

When enabling BYOD there are 3 main areas to focus on:

- Security, e.g lost information, updating problems and there’s a growing number of protocols being developed around this issue.

- Availability, with questions such as can I use the app? will it work on my device? for example; certain Adobe apps no longer work on the apple iOS mobile devices - this may be a problem for companies who heavily use Adobe.

- Now the first two are obvious, but the third is as important - Is it any good? Are the users getting a good experience in the confines of the office and outside in a WiFi network. Two kinds of networks are available to BYOD: WiFi (which is generally provided by the company itself) and Mobile (3G/2G etc which is completely out of the corporations control).

It's emerged recently that there is a hidden cost in BYOD: the cost of unhappy users. When looking at BYOD, it's essential to not only understand the network usage but also to understand how an organization's application is being experienced and how it is performing.

Wireless networks are not the same as your corporate LAN or MPLS network. You need to know what is required to enable your applications to work well in wireless networks. If your users are receiving a lousy response to a business app, it won't be long before they will find ways around it and that might impact policies around security i.e. storing data on their devices rather than going to a central repository.

Yes, it's obvious that for BYOD to work the application must be available for the device and secured from a corporate perspective. What's often overlooked is poor performance which ultimately will render the applications just as unusable as if they weren't available. So performance factors need to be attended too and as a large amount of these hinge on the unpredictability of the wireless and mobile networks, BYOD devices inevitably are forced to operate and applications perform within these networks.

Many organizations recognize that they must test properly in these types of networks. Network emulators are often the answer. Now, with BYOD this falls to everyone to do and this technology is not just available, but it's a sensible and cost effective solution in understanding how BYOD will work in your environment.

Network emulation covers all the characteristics and conditions of a wireless network, showing in real time how network and wireless conditions impact applications. Some emulators also offer the ability to profile an organization's own networked environment. This is really useful for an accurate view of how bespoke applications will be experienced by the BYOD device users.

BYOD offers benefits for company and users alike but make sure the business understands the limitations and build key applications to suit these challenging network conditions as there is no point in being secure if no one will use it!

Jim Swepson is Pre-sales Technologist at Itrinegy.

Related Links:

www.itrinegy.com

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...

BYOD - It Started One Christmas

Jim Swepson

It started one Christmas! Executive's wives in droves worldwide purchased the latest gadget, the IPAD, for their husbands. These happy guys spent time going online and realizing quickly that they could do more on this nifty tablet than just surf the web. In fact they could pretty much do what they were doing on their laptops. It wasn't long before they took these devices into their offices – not just showing off the latest toy but a new way to make their working lives easier and it wasn't long before they were badgering their IT departments for access to company applications on these new devices.

IT departments enabled the execs and other users of BYOD (Bring Your Own Device) and with increasing confidence BYOD gained momentum as it became pervasive among many of us. But complications ensued as the users wanted this capability everywhere, so what started in the confines of the office (relatively safe LAN) now had to contend with delivering these business applications in coffee houses, on trains, transport, and home territory across WiFi, 2g, 3G home network (ISP)etc.

When enabling BYOD there are 3 main areas to focus on:

- Security, e.g lost information, updating problems and there’s a growing number of protocols being developed around this issue.

- Availability, with questions such as can I use the app? will it work on my device? for example; certain Adobe apps no longer work on the apple iOS mobile devices - this may be a problem for companies who heavily use Adobe.

- Now the first two are obvious, but the third is as important - Is it any good? Are the users getting a good experience in the confines of the office and outside in a WiFi network. Two kinds of networks are available to BYOD: WiFi (which is generally provided by the company itself) and Mobile (3G/2G etc which is completely out of the corporations control).

It's emerged recently that there is a hidden cost in BYOD: the cost of unhappy users. When looking at BYOD, it's essential to not only understand the network usage but also to understand how an organization's application is being experienced and how it is performing.

Wireless networks are not the same as your corporate LAN or MPLS network. You need to know what is required to enable your applications to work well in wireless networks. If your users are receiving a lousy response to a business app, it won't be long before they will find ways around it and that might impact policies around security i.e. storing data on their devices rather than going to a central repository.

Yes, it's obvious that for BYOD to work the application must be available for the device and secured from a corporate perspective. What's often overlooked is poor performance which ultimately will render the applications just as unusable as if they weren't available. So performance factors need to be attended too and as a large amount of these hinge on the unpredictability of the wireless and mobile networks, BYOD devices inevitably are forced to operate and applications perform within these networks.

Many organizations recognize that they must test properly in these types of networks. Network emulators are often the answer. Now, with BYOD this falls to everyone to do and this technology is not just available, but it's a sensible and cost effective solution in understanding how BYOD will work in your environment.

Network emulation covers all the characteristics and conditions of a wireless network, showing in real time how network and wireless conditions impact applications. Some emulators also offer the ability to profile an organization's own networked environment. This is really useful for an accurate view of how bespoke applications will be experienced by the BYOD device users.

BYOD offers benefits for company and users alike but make sure the business understands the limitations and build key applications to suit these challenging network conditions as there is no point in being secure if no one will use it!

Jim Swepson is Pre-sales Technologist at Itrinegy.

Related Links:

www.itrinegy.com

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...