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Latency and Bandwidth? Of Course I Know What They Mean!

Sven Hammar

Okay, lets all be honest with ourselves here - as citizens of the 21st century we are all pretty tech-savvy. Let's give ourselves that little pat on the back and get it out of the way. Because we also need to honest about the fact that very, very few of us actually have any idea what words like "latency", "bandwidth", and "internet speed" actually mean. And by very few I mean only programmers and IT people understand these distinctions.

If you happen to be one of the select few who already know the meaning of these mysterious words, I applaud you. If you don't, I sympathize completely. The Internet remains a rather enigmatic thing to people primarily concerned with the download speed of their torrented movies. But once the welfare of your business begins to depend more and more on your download speeds, knowing these distinctions becomes increasingly important. Responsible and informed businesspersons with websites and with pulses owe it to themselves to get this little bit of Internet education under their belts.

Latency: The Wait

The easiest way to understand latency is to think of a long line at some government office. Getting from the door to the counter requires walking a physical distance, waiting in line itself is caused by a bottleneck caused by too many server requests at the same time, and even reaching the counter isn't enough - there's a final waiting period during which the worker behind the desk has to process your request and respond to it. This leg of the journey is what the tech industry calls "latency".

Latency is the period of time that directly precedes the actual download time. All forms of internet connection are subject to the laws of latency, because it is determined by the server-side rather than the user-side. No matter what internet connection you have, the limiting factor in your download time will still be the server speed of the website you're trying to access/download from.

Bandwidth: The Line

This is illustrated by the bandwidth graphic above. Although the wider "pipe" clearly allows for faster download times, latency remains unchanged because it has nothing to do with the pipe to begin with.

But what, exactly, is this pipe? Doesn't internet connection take place at the speed of electricity? Does having a bigger, thicker wire actually matter? Yes, it does. If you think of data as "packets" of electrons (because that's essentially what data is), then it's easy to see that, although the speed of data will only change when the medium of the pipe changes, widening the pipe allows room for more data to flow through at once.

An easy way to envision this is to think of the same government office, but now instead of one line there are five. Getting to the counter doesn't take as long anymore, but each worker is still processing requests at the same speed.

Speed: The Experience

Ultimately, the interplay between latency, bandwidth, and your actual connection medium (wired, wireless, fiber-optic, etc.) determines the actual "speed" experienced by the user. This is an important distinction, because the actual speed of data packet transfer isn't changing at all.

Companies should understand these distinctions in order to focus their efforts more on the things that they can control rather than the things outside their control. In other words, the questions developers (and CEOS) should be asking themselves is: How can I reduce latency? How can we improve the user experience by increasing the speed on the server-side? What front-end and back-end tweaks can we make to increase download speed and reduce latency?

None of this is rocket science, and all developers already know this, but sometimes it takes a real nudge from up-top to get everyone behind the idea of a faster, better branded experience.

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Latency and Bandwidth? Of Course I Know What They Mean!

Sven Hammar

Okay, lets all be honest with ourselves here - as citizens of the 21st century we are all pretty tech-savvy. Let's give ourselves that little pat on the back and get it out of the way. Because we also need to honest about the fact that very, very few of us actually have any idea what words like "latency", "bandwidth", and "internet speed" actually mean. And by very few I mean only programmers and IT people understand these distinctions.

If you happen to be one of the select few who already know the meaning of these mysterious words, I applaud you. If you don't, I sympathize completely. The Internet remains a rather enigmatic thing to people primarily concerned with the download speed of their torrented movies. But once the welfare of your business begins to depend more and more on your download speeds, knowing these distinctions becomes increasingly important. Responsible and informed businesspersons with websites and with pulses owe it to themselves to get this little bit of Internet education under their belts.

Latency: The Wait

The easiest way to understand latency is to think of a long line at some government office. Getting from the door to the counter requires walking a physical distance, waiting in line itself is caused by a bottleneck caused by too many server requests at the same time, and even reaching the counter isn't enough - there's a final waiting period during which the worker behind the desk has to process your request and respond to it. This leg of the journey is what the tech industry calls "latency".

Latency is the period of time that directly precedes the actual download time. All forms of internet connection are subject to the laws of latency, because it is determined by the server-side rather than the user-side. No matter what internet connection you have, the limiting factor in your download time will still be the server speed of the website you're trying to access/download from.

Bandwidth: The Line

This is illustrated by the bandwidth graphic above. Although the wider "pipe" clearly allows for faster download times, latency remains unchanged because it has nothing to do with the pipe to begin with.

But what, exactly, is this pipe? Doesn't internet connection take place at the speed of electricity? Does having a bigger, thicker wire actually matter? Yes, it does. If you think of data as "packets" of electrons (because that's essentially what data is), then it's easy to see that, although the speed of data will only change when the medium of the pipe changes, widening the pipe allows room for more data to flow through at once.

An easy way to envision this is to think of the same government office, but now instead of one line there are five. Getting to the counter doesn't take as long anymore, but each worker is still processing requests at the same speed.

Speed: The Experience

Ultimately, the interplay between latency, bandwidth, and your actual connection medium (wired, wireless, fiber-optic, etc.) determines the actual "speed" experienced by the user. This is an important distinction, because the actual speed of data packet transfer isn't changing at all.

Companies should understand these distinctions in order to focus their efforts more on the things that they can control rather than the things outside their control. In other words, the questions developers (and CEOS) should be asking themselves is: How can I reduce latency? How can we improve the user experience by increasing the speed on the server-side? What front-end and back-end tweaks can we make to increase download speed and reduce latency?

None of this is rocket science, and all developers already know this, but sometimes it takes a real nudge from up-top to get everyone behind the idea of a faster, better branded experience.

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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 ...

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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 ...