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"Second Screens" Are Killing Enterprise IT Networks

Despite techies having argued for years that having a second computer screen is a great way to improve productivity in the workplace, a new study from Gigamon revealed that many people today use their additional monitor to stream music and watch sporting events — and companies are struggling to cope with the extra internet bandwidth.

The study — which was carried out at Infosecurity Europe in June 2019 and studied the attitudes of 217 IT professionals — revealed that 84 percent of organizations today offer their employees a second screen, however 59 percent believe these are or could be being used for non-work-related activity, like streaming music or watching videos.

With the Women’s World Cup already underway, many employees today will be using their second screens to watch games, however this will be putting a significant amount of strain on corporate IT networks.

The study also revealed that 36 percent of IT professionals believe that more than half of their organization’s internet-traffic is non-work-related and, worryingly, 73 percent do not have the software in place to handle the extra bandwidth this is putting on their IT network.

This added pressure could also be having a damaging impact as it could result in customers having a poor digital experience, with website performance appearing sluggish.

During major global sporting events, it is anticipated that employees will be streaming games which could put even more pressure on networks, or even topple them. The study also asked respondents which applications bring the most malware into the work place and 17 percent said TV streaming apps.

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 ...

"Second Screens" Are Killing Enterprise IT Networks

Despite techies having argued for years that having a second computer screen is a great way to improve productivity in the workplace, a new study from Gigamon revealed that many people today use their additional monitor to stream music and watch sporting events — and companies are struggling to cope with the extra internet bandwidth.

The study — which was carried out at Infosecurity Europe in June 2019 and studied the attitudes of 217 IT professionals — revealed that 84 percent of organizations today offer their employees a second screen, however 59 percent believe these are or could be being used for non-work-related activity, like streaming music or watching videos.

With the Women’s World Cup already underway, many employees today will be using their second screens to watch games, however this will be putting a significant amount of strain on corporate IT networks.

The study also revealed that 36 percent of IT professionals believe that more than half of their organization’s internet-traffic is non-work-related and, worryingly, 73 percent do not have the software in place to handle the extra bandwidth this is putting on their IT network.

This added pressure could also be having a damaging impact as it could result in customers having a poor digital experience, with website performance appearing sluggish.

During major global sporting events, it is anticipated that employees will be streaming games which could put even more pressure on networks, or even topple them. The study also asked respondents which applications bring the most malware into the work place and 17 percent said TV streaming apps.

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 ...