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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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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...