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Want a Slow Website? Make it Bigger and More Complex

Kent Alstad

Is your website slow to load?

Page size and complexity are two of the main factors you need to consider.

Looking back at the trends over the last five years, the average site has ballooned from just over 700KB to 2,135KB. That’s over a 200% increase in five years!

The number of requests have grown as well, from around 70 to about 100.

Consider the data from WebPagetest.org (numbers overlap, due to the number of samples):


What’s going on?

Sites Are Opting For Complexity Over Speed

It’s clear from the data that sites are built with a preference for rich, complex pages, unfortunately relegating load times to a lower tier of importance. While broadband penetration continues to climb, the payload delivered to browsers is increasing as well.

This is a similar dynamic to what’s going on in smartphones with their battery life: the amount of a phone’s “on” time is staying static, even though processors have become smaller and more efficient. Why? Because the processors have to work harder on larger, more complex applications, and there’s pressure to deliver thin, svelte devices at the expense of the physical size of the batteries. Any gains in efficiency are offset by the work the processors have to do.

So yes, people generally have more bandwidth available to them, but all the data being thrown at their browsers has to be sorted and rendered, hence the slowdown in page speed.

Take images are a perfect example of this trend. The rise in ecommerce has brought with it all the visual appeal of a high-end catalogue combined with a commercial. The result: larger images – and more of them.


While the number of image requests hasn’t risen dramatically, the size of those images has. Looking at the above chart, the total size of a typical page’s images has grown from 418KB in 2010 to 1,348KB for today’s typical page, an increase of 222 percent.

You could go on and on about the impact of custom fonts, CSS transfer size and requests and the same for JavaScript, but the trends are the same. Other than the number of sites utilizing Flash decreasing due to the switch to HTML5, the story is always boils down to “bigger” and “more”, leading to a user experience that equates to more waiting.

What Can You Do About It?

Thankfully, there are steps you can take to get things moving. For example:

Consolidate JavaScript and CSS: Consolidating JavaScript code and CSS styles into common files that can be shared across multiple pages should be a common practice. This technique simplifies code maintenance and improves the efficiency of client-side caching. In JavaScript files, be sure that the same script isn’t downloaded multiple times for one page. Redundant script downloads are especially likely when large teams or multiple teams collaborate on page development.

Sprite Images: Spriting is a CSS technique for consolidating images. Sprites are simply multiple images combined into a rectilinear grid in one large image. The page fetches the large image all at once as a single CSS background image and then uses CSS background positioning to display the individual component images as needed on the page. This reduces multiple requests to only one, significantly improving performance.

Compress Images: Image compression is a performance technique that minimizes the size (in bytes) of a graphics file without degrading the quality of the image to an unacceptable level. Reducing an image’s file size has two benefits: reducing the amount of time required for images to be sent over the internet or downloaded, and increasing the number of images that can be stored in the browser cache, thereby improving page render time on repeat visits to the same page.

Defer Rendering “Below the Fold” Content: Ensure that the user sees the page quicker by delaying the loading and rendering of any content that is below the initially visible area, sometimes called “below the fold.” To eliminate the need to reflow content after the remainder of the page is loaded, replace images initially with placeholder Image removed. tags that specify the correct height and width.

Preload Page Resources in the Browser: Auto-preloading is a powerful performance technique in which all user paths through a website are observed and recorded. Based on this massive amount of aggregated data, the auto-preloading engine can predict where a user is likely to go based on the page they are currently on and the previous pages in their path. The engine loads the resources for those “next” pages in the user’s browser cache, enabling the page to render up to 70 percent faster. Note that this is a data-intensive, highly dynamic technique that can only be performed by an automated solution.

Implement an Automated Web Performance Optimization Solution: While many of the performance techniques outlined in this section can be performed manually by developers, hand-coding pages for performance is specialized, time-consuming work. It is a never-ending task, particularly on highly dynamic sites that contain hundreds of objects per page, as both browser requirements and page requirements continue to develop. Automated front-end performance optimization solutions apply a range of performance techniques that deliver faster pages consistently and reliably across the entire site.

The Bottom Line

While pages are still within the trend of seeing their size and complexity grow, the toolsets available to combat slow loading times have increased as well. HTTP/2 promises protocol optimization, and having a powerful content optimization solution in place will help you take care of the rest.

Still – if you can – keep it simple. That’s always a great rule to follow.

Kent Alstad is VP of Acceleration at Radware.

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Want a Slow Website? Make it Bigger and More Complex

Kent Alstad

Is your website slow to load?

Page size and complexity are two of the main factors you need to consider.

Looking back at the trends over the last five years, the average site has ballooned from just over 700KB to 2,135KB. That’s over a 200% increase in five years!

The number of requests have grown as well, from around 70 to about 100.

Consider the data from WebPagetest.org (numbers overlap, due to the number of samples):


What’s going on?

Sites Are Opting For Complexity Over Speed

It’s clear from the data that sites are built with a preference for rich, complex pages, unfortunately relegating load times to a lower tier of importance. While broadband penetration continues to climb, the payload delivered to browsers is increasing as well.

This is a similar dynamic to what’s going on in smartphones with their battery life: the amount of a phone’s “on” time is staying static, even though processors have become smaller and more efficient. Why? Because the processors have to work harder on larger, more complex applications, and there’s pressure to deliver thin, svelte devices at the expense of the physical size of the batteries. Any gains in efficiency are offset by the work the processors have to do.

So yes, people generally have more bandwidth available to them, but all the data being thrown at their browsers has to be sorted and rendered, hence the slowdown in page speed.

Take images are a perfect example of this trend. The rise in ecommerce has brought with it all the visual appeal of a high-end catalogue combined with a commercial. The result: larger images – and more of them.


While the number of image requests hasn’t risen dramatically, the size of those images has. Looking at the above chart, the total size of a typical page’s images has grown from 418KB in 2010 to 1,348KB for today’s typical page, an increase of 222 percent.

You could go on and on about the impact of custom fonts, CSS transfer size and requests and the same for JavaScript, but the trends are the same. Other than the number of sites utilizing Flash decreasing due to the switch to HTML5, the story is always boils down to “bigger” and “more”, leading to a user experience that equates to more waiting.

What Can You Do About It?

Thankfully, there are steps you can take to get things moving. For example:

Consolidate JavaScript and CSS: Consolidating JavaScript code and CSS styles into common files that can be shared across multiple pages should be a common practice. This technique simplifies code maintenance and improves the efficiency of client-side caching. In JavaScript files, be sure that the same script isn’t downloaded multiple times for one page. Redundant script downloads are especially likely when large teams or multiple teams collaborate on page development.

Sprite Images: Spriting is a CSS technique for consolidating images. Sprites are simply multiple images combined into a rectilinear grid in one large image. The page fetches the large image all at once as a single CSS background image and then uses CSS background positioning to display the individual component images as needed on the page. This reduces multiple requests to only one, significantly improving performance.

Compress Images: Image compression is a performance technique that minimizes the size (in bytes) of a graphics file without degrading the quality of the image to an unacceptable level. Reducing an image’s file size has two benefits: reducing the amount of time required for images to be sent over the internet or downloaded, and increasing the number of images that can be stored in the browser cache, thereby improving page render time on repeat visits to the same page.

Defer Rendering “Below the Fold” Content: Ensure that the user sees the page quicker by delaying the loading and rendering of any content that is below the initially visible area, sometimes called “below the fold.” To eliminate the need to reflow content after the remainder of the page is loaded, replace images initially with placeholder Image removed. tags that specify the correct height and width.

Preload Page Resources in the Browser: Auto-preloading is a powerful performance technique in which all user paths through a website are observed and recorded. Based on this massive amount of aggregated data, the auto-preloading engine can predict where a user is likely to go based on the page they are currently on and the previous pages in their path. The engine loads the resources for those “next” pages in the user’s browser cache, enabling the page to render up to 70 percent faster. Note that this is a data-intensive, highly dynamic technique that can only be performed by an automated solution.

Implement an Automated Web Performance Optimization Solution: While many of the performance techniques outlined in this section can be performed manually by developers, hand-coding pages for performance is specialized, time-consuming work. It is a never-ending task, particularly on highly dynamic sites that contain hundreds of objects per page, as both browser requirements and page requirements continue to develop. Automated front-end performance optimization solutions apply a range of performance techniques that deliver faster pages consistently and reliably across the entire site.

The Bottom Line

While pages are still within the trend of seeing their size and complexity grow, the toolsets available to combat slow loading times have increased as well. HTTP/2 promises protocol optimization, and having a powerful content optimization solution in place will help you take care of the rest.

Still – if you can – keep it simple. That’s always a great rule to follow.

Kent Alstad is VP of Acceleration at Radware.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.