Skip to main content

The Key to a Well-Running Web Site

Sven Hammar

Website development and maintenance is not a simple proposition. You need to get your message out to your audience in a fast, attractive and secure way. Yet, making a website attractive and keeping it secure may take away some speed. Buy back speed by reducing security and you stand a chance of having your users avoid your site. Skimp on the aesthetics and your speed and security may not mean a thing, nobody's coming. What's a developer to do?

The answer, of course, is "test, test, test!” Test in development, test in the real world and, as you're fine-tuning and fixing, test each content exchange until the website is humming and your users are busy navigating your site, not complaining about it.

Using the correct monitoring tools is one key to bringing your website to the public quickly and keeping it working flawlessly with the least amount of pain to your users. So let's introduce some three-letter abbreviations here; The tools available are Web Performance Monitoring (WPM – aka Synthetic Monitoring), Application Performance Management (APM) and Real User Monitoring (RUM). Each of these has its use cases and when used together they combine to keep your website responsive and your users satisfied.

WPM

WPM uses synthetic monitoring, also known as active monitoring, which is monitoring using web browser emulation or scripted recordings of web transactions. You control testing the performance of the website as a whole, including how pages render, response time to content requests and other aspects of website operation that are directly responsible for how well or how poorly the website runs.

Use synthetic monitoring to test specific pages or transaction types that may not get regular traffic on your website, monitoring it from a user's perspective. Behavioral scripts simulate the actions or exercise paths that your users will take. An example of this would be to have the script login to the website, go through a transaction, get to the purchase page and then abandon the purchase. This gives you a clear indication of how a user will experience your checkout page and whether it takes too long to complete a purchase.

Use WPM, as well, to check javascript timing to see how long it takes your pages to render. Use synthetic monitoring on live websites from clients scattered throughout the world to test the network paths from where your users are connecting.

APM

Use APM to allow your developers to dive deeper into website problems so root causes can be uncovered and fixes can be put in where they will do the most good. APM allows you to follow critical transactions through from start to finish so you can determine exactly what is going wrong on your website and perform searches for values to find where bugs, bottlenecks or less-than-optimal code can be found and fixed to create a faster, more efficient website.

RUM

Since RUM is a passive monitoring process, use it to provide information about how real-world users are experiencing your website. Find out whether slowdowns are tied to time-of-day, or specific content requests, or any of the variety of issues that can plague a normally smooth-running site. RUM won't tell you exactly what's wrong but it will alert you as things do go wrong and how your users are affected.

Unfortunately, RUM cannot be directed against specific pages or processes and cannot give you on-demand testing, nor can it be used to create an artificial load on your website to see how it reacts to stress. What it can do is alert you to those times when your website is starting to experience sub-optimal performance so you can get your team working on your issues.

Combine WPM, APM and RUM

The key to developing and maintaining a well-running website, then, is combining all three monitoring tools, using RUM to get a good sense of how your users are experiencing the website, WPM to exercise your code and get real baseline monitoring as well as testing of lesser-visited pages and using APM to troubleshoot and find the source of problems found by RUM and WPM. Only by using each of these tools can you ensure that your site is performance optimized.

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The Key to a Well-Running Web Site

Sven Hammar

Website development and maintenance is not a simple proposition. You need to get your message out to your audience in a fast, attractive and secure way. Yet, making a website attractive and keeping it secure may take away some speed. Buy back speed by reducing security and you stand a chance of having your users avoid your site. Skimp on the aesthetics and your speed and security may not mean a thing, nobody's coming. What's a developer to do?

The answer, of course, is "test, test, test!” Test in development, test in the real world and, as you're fine-tuning and fixing, test each content exchange until the website is humming and your users are busy navigating your site, not complaining about it.

Using the correct monitoring tools is one key to bringing your website to the public quickly and keeping it working flawlessly with the least amount of pain to your users. So let's introduce some three-letter abbreviations here; The tools available are Web Performance Monitoring (WPM – aka Synthetic Monitoring), Application Performance Management (APM) and Real User Monitoring (RUM). Each of these has its use cases and when used together they combine to keep your website responsive and your users satisfied.

WPM

WPM uses synthetic monitoring, also known as active monitoring, which is monitoring using web browser emulation or scripted recordings of web transactions. You control testing the performance of the website as a whole, including how pages render, response time to content requests and other aspects of website operation that are directly responsible for how well or how poorly the website runs.

Use synthetic monitoring to test specific pages or transaction types that may not get regular traffic on your website, monitoring it from a user's perspective. Behavioral scripts simulate the actions or exercise paths that your users will take. An example of this would be to have the script login to the website, go through a transaction, get to the purchase page and then abandon the purchase. This gives you a clear indication of how a user will experience your checkout page and whether it takes too long to complete a purchase.

Use WPM, as well, to check javascript timing to see how long it takes your pages to render. Use synthetic monitoring on live websites from clients scattered throughout the world to test the network paths from where your users are connecting.

APM

Use APM to allow your developers to dive deeper into website problems so root causes can be uncovered and fixes can be put in where they will do the most good. APM allows you to follow critical transactions through from start to finish so you can determine exactly what is going wrong on your website and perform searches for values to find where bugs, bottlenecks or less-than-optimal code can be found and fixed to create a faster, more efficient website.

RUM

Since RUM is a passive monitoring process, use it to provide information about how real-world users are experiencing your website. Find out whether slowdowns are tied to time-of-day, or specific content requests, or any of the variety of issues that can plague a normally smooth-running site. RUM won't tell you exactly what's wrong but it will alert you as things do go wrong and how your users are affected.

Unfortunately, RUM cannot be directed against specific pages or processes and cannot give you on-demand testing, nor can it be used to create an artificial load on your website to see how it reacts to stress. What it can do is alert you to those times when your website is starting to experience sub-optimal performance so you can get your team working on your issues.

Combine WPM, APM and RUM

The key to developing and maintaining a well-running website, then, is combining all three monitoring tools, using RUM to get a good sense of how your users are experiencing the website, WPM to exercise your code and get real baseline monitoring as well as testing of lesser-visited pages and using APM to troubleshoot and find the source of problems found by RUM and WPM. Only by using each of these tools can you ensure that your site is performance optimized.

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...