Skip to main content

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

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

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

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...