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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

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...