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Updates, Updates, Updates: How to Fireproof Your Business-Critical Software

Lorna Crawford
Login VSI

As Ferris Bueller once said, "Life moves pretty fast." It is especially true for those of us working in IT.

Microsoft releases two major Windows 10 updates per year, and in addition 12 monthly updates for their operating system. Change is unrelenting and so are the potential dangers that accompany it.

Despite Microsoft being one of the largest, most trusted software vendors in the world, I could very likely find news articles pointing out failures with each new release over the last few years. These bugs can mean the applications you need to do your job don't function properly, or worst, don't work at all.

Of course, Microsoft is only one small part of the overall stack of your hardware and software and each element can require frequent changes that can impact you as an end-user. The fact is changes happen all the time in the overall VDI stack.

What Does Change Mean?


When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time.

Given the ever-accelerating pace of IT change, how can businesses cope?

Safe Not Sorry

As lockdown restrictions ease, I'll be off on some campervan adventures around Scotland. I want to be able to cook safely and have off-grid heating (it is Scotland after all), which means using gas. Now, as you'll know, installing gas heating in a small confined space comes with the risk of Carbon Monoxide poisoning, and to be honest, my cooking often comes with the risk of fire! So, as I'm aware of the danger, I'm putting in smoke and CO detectors, plus installing a fire blanket and a fire extinguisher. I value my van and, more importantly, my life.

Likewise, any company managing an ever-changing software stack needs to consider the risks associated with putting blind trust into the hands of software vendors like Microsoft. My advice would be to de-risk frequent IT changes with a robust application testing strategy.

Start with automating the process of testing your applications and see if there are any problems with them after making updates to the hardware and software platforms they reside on. Preferably use a testing solution where synthetic users test all the typical activities that real users need to perform in your application. You then should be able to answer the following questions after each change to your environment:

■ Does the software work?

■ How long does it take to do each business-critical task?

■ Is the application response time within an acceptable range?

But what if you have fancy and custom-built applications? Look for a solution that can help you design custom scripts to test your custom applications.

Lorna Crawford is a Presales Engineer at Login VSI

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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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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 ...

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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 ...

Updates, Updates, Updates: How to Fireproof Your Business-Critical Software

Lorna Crawford
Login VSI

As Ferris Bueller once said, "Life moves pretty fast." It is especially true for those of us working in IT.

Microsoft releases two major Windows 10 updates per year, and in addition 12 monthly updates for their operating system. Change is unrelenting and so are the potential dangers that accompany it.

Despite Microsoft being one of the largest, most trusted software vendors in the world, I could very likely find news articles pointing out failures with each new release over the last few years. These bugs can mean the applications you need to do your job don't function properly, or worst, don't work at all.

Of course, Microsoft is only one small part of the overall stack of your hardware and software and each element can require frequent changes that can impact you as an end-user. The fact is changes happen all the time in the overall VDI stack.

What Does Change Mean?


When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time.

Given the ever-accelerating pace of IT change, how can businesses cope?

Safe Not Sorry

As lockdown restrictions ease, I'll be off on some campervan adventures around Scotland. I want to be able to cook safely and have off-grid heating (it is Scotland after all), which means using gas. Now, as you'll know, installing gas heating in a small confined space comes with the risk of Carbon Monoxide poisoning, and to be honest, my cooking often comes with the risk of fire! So, as I'm aware of the danger, I'm putting in smoke and CO detectors, plus installing a fire blanket and a fire extinguisher. I value my van and, more importantly, my life.

Likewise, any company managing an ever-changing software stack needs to consider the risks associated with putting blind trust into the hands of software vendors like Microsoft. My advice would be to de-risk frequent IT changes with a robust application testing strategy.

Start with automating the process of testing your applications and see if there are any problems with them after making updates to the hardware and software platforms they reside on. Preferably use a testing solution where synthetic users test all the typical activities that real users need to perform in your application. You then should be able to answer the following questions after each change to your environment:

■ Does the software work?

■ How long does it take to do each business-critical task?

■ Is the application response time within an acceptable range?

But what if you have fancy and custom-built applications? Look for a solution that can help you design custom scripts to test your custom applications.

Lorna Crawford is a Presales Engineer at Login VSI

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 ...