Skip to main content

Network Downtime = Revenue Loss

Pete Goldin
Editor and Publisher
APMdigest

Traditional network vulnerabilities are causing more business impacts than most realize, resulting in revenue and job loss, according to a survey commissioned by Avaya.

The survey of mid-to-large companies in the US, Canada, andUK found that 82% of those surveyed experienced some type of network downtime caused by IT personnel making errors when configuring changes to the core of the network.

In fact, the survey found that one-fifth of all network downtime in 2013 was caused by core errors - and 80% of companies experiencing downtime from core errors in 2013 lost revenue, with the average company losing $140,003 per incident. The financial sector lost an average of $540,358 per incident.

The resulting impact on a career can be significant: a surprising 1 in 5 companies fired an IT employee when a network downtime incident occurred. The factor was more dramatic for some industries. Respondents also said that 1 in 3 companies in the natural resources, utilities & telecoms sector sacked IT staff due to downtime caused by change errors.

Survey Methodology: Avaya surveyed 210 IT professionals in large organizations (250+ employees) within the United States, Canada and United Kingdom to understand how much revenue was lost in total as a result of all the downtime incidents caused by core network changes in 2013. The surveys were completed in January 2014 in coordination with Dynamic Markets (UK).

Pete Goldin is Editor and Publisher of APMdigest

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

Network Downtime = Revenue Loss

Pete Goldin
Editor and Publisher
APMdigest

Traditional network vulnerabilities are causing more business impacts than most realize, resulting in revenue and job loss, according to a survey commissioned by Avaya.

The survey of mid-to-large companies in the US, Canada, andUK found that 82% of those surveyed experienced some type of network downtime caused by IT personnel making errors when configuring changes to the core of the network.

In fact, the survey found that one-fifth of all network downtime in 2013 was caused by core errors - and 80% of companies experiencing downtime from core errors in 2013 lost revenue, with the average company losing $140,003 per incident. The financial sector lost an average of $540,358 per incident.

The resulting impact on a career can be significant: a surprising 1 in 5 companies fired an IT employee when a network downtime incident occurred. The factor was more dramatic for some industries. Respondents also said that 1 in 3 companies in the natural resources, utilities & telecoms sector sacked IT staff due to downtime caused by change errors.

Survey Methodology: Avaya surveyed 210 IT professionals in large organizations (250+ employees) within the United States, Canada and United Kingdom to understand how much revenue was lost in total as a result of all the downtime incidents caused by core network changes in 2013. The surveys were completed in January 2014 in coordination with Dynamic Markets (UK).

Pete Goldin is Editor and Publisher of APMdigest

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...