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Don't Let an IT Service Disruption Lead to Catastrophic Downtime

Krishna Dunthoori
Apty

Over the years, we've seen several high-profile examples of how even the slightest human error can induce devastating bouts of downtime. One infamous example came several years ago, when Amazon's S3 service was knocked offline, obliterating service to social media platforms, web publishers, and other leading websites. The cause? A simple typo — an authorized employee intended to take a small number of servers offline to fix a problem with the billing system, but accidentally entered a command incorrectly and removed a large number of servers instead.

Within several hours, Amazon's S3 service was back online, but the incident had lasting ramifications. Numerous popular apps and websites were impacted, and the estimated cost to S&P 500 companies was $150 million, while US financial services companies lost an estimated $160 million in revenue.

Even for the average organization (i.e., one not of Amazon's size), the cost of application downtime stands at a staggering $5,600 per minute. Moreover, outages are continuing to increase, as more people within an organization are empowered to make changes to IT services. In fact, a large majority of all incidents reported to an IT service desk are caused by change.

IT Service Management (ITSM) solutions are widely available to help solve this problem, with incident management as one of its main pillars. Incident management enables the rapid identification, notification, and resolution of critical application outages, and provides a clear, documented process to follow if and when things go wrong. The reported percentage of IT projects that result in failure depends on the article or survey you read, but most put the number at 55 - 75 percent. So why do so many ITSM implementations fail?

Like other software implementations, ITSM often suffers from a lack of user adoption. This is because people, by nature, are resistant to change. Sometimes, organizations and their training teams erroneously believe they can communicate once or twice about a new software implementation, deliver a round of training, and sit back and expect to realize software value. However, in prioritizing go-live, many training teams fail to properly support user adoption in the ensuing days and months, and adoption never reaches meaningful levels.

But in an incident response context, something else seems to be going on. Any strong emotion that temporarily impairs our thinking — anxiety, fear, or anger, for example — can result in a "brain freeze," or a temporary decline in cognitive functioning. So when an incident occurs, the ensuing panic among employees who are likely unfamiliar with the ITSM solution anyway, makes the situation that much more grim.

So how can organizations and training teams harness the full potential of ITSM solutions to maximize application uptime?

There are several areas to focus on, including:

Seamless onboarding and increasing user adoption - Organizations and their training teams need to simplify the ITSM onboarding process by providing real-time, in-app, context-driven guidance. This reduces the learning curve and eliminates the fear of embracing the new technology, while providing the right support at the right time.

Supporting change processes - Given the pace and frequency of change, context-driven guidance also makes it easier for ITSM users to implement changes posing fewer risks and disruptions, ensuring that changes are carried out much more smoothly.

Reducing all-important mean-time-to-repair (MTTR) - Especially in times of strain, context-driven guidance can also help ITSM users swiftly find information and efficiently resolve those IT issues they don't necessarily encounter every day, by providing in-the-moment, step-by-step guidance. This leads to augmented user productivity and satisfaction while minimizing service disruptions.

The Amazon S3 example may seem like an egregious example of "breaking the internet." Yet it clearly highlights how the slightest change or error can induce disaster, as well as the fragility of modern infrastructures — realities impacting all organizations. Successfully implementing and training on ITSM, and specifically incident management as part of an ITSM approach, can be vital in avoiding expensive downtime when a disruption occurs. The key is to have ongoing training and guided risk management in place so there is little to no pause in response when the inevitable error or disruption happens. This is where solutions like digital adoption platforms (DAPs) come into play to streamline and solve IT disruption downtime challenges — ensuring seamless and efficient adoption of ITSM tools.

Krishna Dunthoori is Founder and CEO of Apty

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Don't Let an IT Service Disruption Lead to Catastrophic Downtime

Krishna Dunthoori
Apty

Over the years, we've seen several high-profile examples of how even the slightest human error can induce devastating bouts of downtime. One infamous example came several years ago, when Amazon's S3 service was knocked offline, obliterating service to social media platforms, web publishers, and other leading websites. The cause? A simple typo — an authorized employee intended to take a small number of servers offline to fix a problem with the billing system, but accidentally entered a command incorrectly and removed a large number of servers instead.

Within several hours, Amazon's S3 service was back online, but the incident had lasting ramifications. Numerous popular apps and websites were impacted, and the estimated cost to S&P 500 companies was $150 million, while US financial services companies lost an estimated $160 million in revenue.

Even for the average organization (i.e., one not of Amazon's size), the cost of application downtime stands at a staggering $5,600 per minute. Moreover, outages are continuing to increase, as more people within an organization are empowered to make changes to IT services. In fact, a large majority of all incidents reported to an IT service desk are caused by change.

IT Service Management (ITSM) solutions are widely available to help solve this problem, with incident management as one of its main pillars. Incident management enables the rapid identification, notification, and resolution of critical application outages, and provides a clear, documented process to follow if and when things go wrong. The reported percentage of IT projects that result in failure depends on the article or survey you read, but most put the number at 55 - 75 percent. So why do so many ITSM implementations fail?

Like other software implementations, ITSM often suffers from a lack of user adoption. This is because people, by nature, are resistant to change. Sometimes, organizations and their training teams erroneously believe they can communicate once or twice about a new software implementation, deliver a round of training, and sit back and expect to realize software value. However, in prioritizing go-live, many training teams fail to properly support user adoption in the ensuing days and months, and adoption never reaches meaningful levels.

But in an incident response context, something else seems to be going on. Any strong emotion that temporarily impairs our thinking — anxiety, fear, or anger, for example — can result in a "brain freeze," or a temporary decline in cognitive functioning. So when an incident occurs, the ensuing panic among employees who are likely unfamiliar with the ITSM solution anyway, makes the situation that much more grim.

So how can organizations and training teams harness the full potential of ITSM solutions to maximize application uptime?

There are several areas to focus on, including:

Seamless onboarding and increasing user adoption - Organizations and their training teams need to simplify the ITSM onboarding process by providing real-time, in-app, context-driven guidance. This reduces the learning curve and eliminates the fear of embracing the new technology, while providing the right support at the right time.

Supporting change processes - Given the pace and frequency of change, context-driven guidance also makes it easier for ITSM users to implement changes posing fewer risks and disruptions, ensuring that changes are carried out much more smoothly.

Reducing all-important mean-time-to-repair (MTTR) - Especially in times of strain, context-driven guidance can also help ITSM users swiftly find information and efficiently resolve those IT issues they don't necessarily encounter every day, by providing in-the-moment, step-by-step guidance. This leads to augmented user productivity and satisfaction while minimizing service disruptions.

The Amazon S3 example may seem like an egregious example of "breaking the internet." Yet it clearly highlights how the slightest change or error can induce disaster, as well as the fragility of modern infrastructures — realities impacting all organizations. Successfully implementing and training on ITSM, and specifically incident management as part of an ITSM approach, can be vital in avoiding expensive downtime when a disruption occurs. The key is to have ongoing training and guided risk management in place so there is little to no pause in response when the inevitable error or disruption happens. This is where solutions like digital adoption platforms (DAPs) come into play to streamline and solve IT disruption downtime challenges — ensuring seamless and efficient adoption of ITSM tools.

Krishna Dunthoori is Founder and CEO of Apty

Hot Topics

The Latest

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

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Poor DEX directly costs global businesses an average of 470,000 hours per year, equivalent to around 226 full-time employees, according to a new report from Nexthink, Cracking the DEX Equation: The Annual Workplace Productivity Report. This indicates that digital friction is a vital and underreported element of the global productivity crisis ...