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Embrace the Madness: Final 4 Actions to Ensure Network Availability

Maintaining Productivity and Keeping Employees Happy During March Madness
Aaron Kelly

IT's reputation among employees is often one of being too controlling or rigid. Sometimes this is exaggerated, other times the label is well-deserved. The role of safeguarding the network and ensuring the applications relied upon daily by the workforce are operating at peak proficiency, while necessary, can be thankless and misunderstood. Therefore all employees should be reminded that IT is not the evil and humorless guardians of the gate, but a critical department that is capable of both keeping the systems running and exhibiting some flexibility along the way.

With March Madness set to kick into high-gear, what better time to highlight the ability of IT to be flexible and accommodating to the organization, while still overseeing and ensuring the viability of the network and its critical applications.

As March Madness continues to be a digitally driven event with a large US following, IT knows the business network will be put under additional stress and employee productivity will decline amid the tournament frenzy and all-consuming bracket. This is especially true during the first two days of the tournament when early round games take place during peak work hours.

To help better prepare organizations for the oncoming flurry, we've put together our own "Final Four" list of actions every IT team can take to ensure networks don't come down with the nets.

1. Establish and encourage the use of a central viewing area

Rather than having multiple streams going across the network, go the old school approach of broadcasting the games on television in areas such as break rooms, cafeterias, etc. This not only saves the bandwidth, but creates a feeling of goodwill amongst the employee base.

2. Boost bandwidth

While bandwidth is a valuable and sometimes expensive asset, keeping the pace of productivity and allowing employees to pay attention to their favorite schools has its own rewards. It may add a bit more to the bill, but it's worth the investment as happy employees are more productive and reliable overall.

3. Draw a hardline

Wireless signals are often the first to feel the impact of overwhelming broadband usage. Having employees connect to the network via hardline rather than draining the Wi-Fi is a small concession on their part to ensure the signal stays strong for everyone.

4. Work from home

There are certainly issues that can arise when a company of several hundred in one location suddenly becomes a company of one in hundreds of disparate locations. Yet in this case, it could benefit the organization. Granting the workforce the flexibility to be at home during these two days and watch while they work would alleviate the pull on the company's network and bandwidth. In all likelihood, only a percentage of employees will take advantage of this benefit, but this is the group that would be streaming across your network.

March Madness can be a crazy time for everyone – players, coaches, fans, and IT. By embracing the reality of the situation, organizations can accurately plan and take steps to minimize its impact on productivity. There is also some goodwill and credibility to be built along the way. Enforcing the message that IT is your friend and is willing to work with you and find ways to compromise is a powerful message that can continue to pay dividends long after the confetti has fallen and the nets have been cut down.

Aaron Kelly is Product Management Executive at Ipswitch.

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

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Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Embrace the Madness: Final 4 Actions to Ensure Network Availability

Maintaining Productivity and Keeping Employees Happy During March Madness
Aaron Kelly

IT's reputation among employees is often one of being too controlling or rigid. Sometimes this is exaggerated, other times the label is well-deserved. The role of safeguarding the network and ensuring the applications relied upon daily by the workforce are operating at peak proficiency, while necessary, can be thankless and misunderstood. Therefore all employees should be reminded that IT is not the evil and humorless guardians of the gate, but a critical department that is capable of both keeping the systems running and exhibiting some flexibility along the way.

With March Madness set to kick into high-gear, what better time to highlight the ability of IT to be flexible and accommodating to the organization, while still overseeing and ensuring the viability of the network and its critical applications.

As March Madness continues to be a digitally driven event with a large US following, IT knows the business network will be put under additional stress and employee productivity will decline amid the tournament frenzy and all-consuming bracket. This is especially true during the first two days of the tournament when early round games take place during peak work hours.

To help better prepare organizations for the oncoming flurry, we've put together our own "Final Four" list of actions every IT team can take to ensure networks don't come down with the nets.

1. Establish and encourage the use of a central viewing area

Rather than having multiple streams going across the network, go the old school approach of broadcasting the games on television in areas such as break rooms, cafeterias, etc. This not only saves the bandwidth, but creates a feeling of goodwill amongst the employee base.

2. Boost bandwidth

While bandwidth is a valuable and sometimes expensive asset, keeping the pace of productivity and allowing employees to pay attention to their favorite schools has its own rewards. It may add a bit more to the bill, but it's worth the investment as happy employees are more productive and reliable overall.

3. Draw a hardline

Wireless signals are often the first to feel the impact of overwhelming broadband usage. Having employees connect to the network via hardline rather than draining the Wi-Fi is a small concession on their part to ensure the signal stays strong for everyone.

4. Work from home

There are certainly issues that can arise when a company of several hundred in one location suddenly becomes a company of one in hundreds of disparate locations. Yet in this case, it could benefit the organization. Granting the workforce the flexibility to be at home during these two days and watch while they work would alleviate the pull on the company's network and bandwidth. In all likelihood, only a percentage of employees will take advantage of this benefit, but this is the group that would be streaming across your network.

March Madness can be a crazy time for everyone – players, coaches, fans, and IT. By embracing the reality of the situation, organizations can accurately plan and take steps to minimize its impact on productivity. There is also some goodwill and credibility to be built along the way. Enforcing the message that IT is your friend and is willing to work with you and find ways to compromise is a powerful message that can continue to pay dividends long after the confetti has fallen and the nets have been cut down.

Aaron Kelly is Product Management Executive at Ipswitch.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...