The goal of web performance optimization is to become faster and smaller: research at Yahoo! and Google found that just 10-20% of the perceived loading time is caused by the server. A few years ago we thought performance was exclusively connected to the server. However, 80-90% of the loading time incurs in the frontend. Thus WPO is more efficient targeting the frontend.

Two important weak points are JavaScript files and the sheer number of files: JavaScript loads sequentially and blocks subsequent code until each file is loaded. Hence it shouldn’t be located in the head, but in the foot of a page. Secondly older browsers, in particular Internet Explorer, will only load 2-4 files in parallel. Files queue up and get processed when it’s their turn. Therefore aggregation of files is used for reducing the number of HTTP requests.

Several international companies have conducted research or just tracked the effects of optimization.

Effects of slowness

• Amazon: 100 ms delay caused a 1% drop in revenue.
• Google: 400 ms delay caused a 0.59% decrease in search requests per user (earlier tests list larger numbers).
• Yahoo!: 400 ms delay caused a 5-9% decrease in traffic.
• Bing: 2 seconds delay caused a 4.3% drop in revenue per user.

Effects of speed

• Mozilla made their download page 2.2 seconds faster and was rewarded with an increase of 15.4% in downloads.
• Google Maps reduced the file volume by 30% and observed a 30% increase in map requests.
• Netflix enabled gzip on the server; simply by this single action pages became 13-25% faster and saved 50% of traffic volume!
• Shopzilla succeeded in reducing the loading time from 7 down to 2 seconds, whereby the conversion rate increased by 7-12%, they observed a 25% increase in page requests, they were able to retire 50% of their servers, thus saving energy costs.
• AOL observed the number of page views on several websites. While the fastest users requested 7-8 pages, the slowest only viewed 3-4.

As a cream topping Google recently announced to factor in the site speed as a parameter in web search ranking.

Eventually pages become faster, clients are happy, generate more revenue and page views, while power consumption and CO₂ emissions decrease. Saved the world, again! And if you’d like to contribute, start by checking the rules at Yahoo! A few tricks beyond that can be found in the presentation which will be translated soon.

The traditional focus of performance optimization has been on the backend, i.e. system efficiency. But comparing a number of high profile websites, the Yahoo! team found that frontend performance is responsible for 80-98% of the perceived response time. Therefore doubling the frontend performance gains more than doubling the backend performance. In case studies Yahoo! Search became 40-50% faster, the Yahoo! Mail web application gained 70-100%. Of course there are ways to increase backend performance without throwing in more hardware, but better frontend performance reduces traffic and saves resources.

Saving resources on the client side, particularly CPU usage, also pays off in speed. Event delegation is faster than a large number of event handlers. Likewise we know that reducing the number of HTTP requests through techniques like CSS sprites, sliding doors, or file aggregation increases speed. The reason is the limit of two parallel requests per host imposed by HTTP 1.1. That results in a download queue of two requests at a time, increasing the perceived response time of a page. By configuring additional host aliases for your server you can increase the number of parallel requests — but more than 2-4 also increase DNS lookups resulting in higher CPU usage and slower response times.

I wonder when Yahoo! will present us another impressive calculation how many gigawatts have been preserved by reducing CPU usage in client PCs and in their data centers, as one participant asked in the Q&A part. Energy efficient servers are the next big thing, but are there any concrete suggestions for greener programming? Is AJAX destroying the ozone layer?

Environmental issues aside, here’s the list of rules. I’ll keep it short where I have written about it in my previous article. See the examples and testcases by Steve Souders.

1. Make fewer HTTP requests: This also affects cookies. Eliminate unnecessary cookies, keep them small, set them at granular domain levels (e.g. finance.yahoo.com instead of .yahoo.com), and set an appropriate Expires date.
2. Use a content distribution network (CDN) like Akamai where your (static) content is served from distributed data centers located nearer to your client. Even if your website is not as big as Google you can profit from faster response times by using the YUI library’s own CDN.
3. Add an Expires header not just for images, but also for JavaScript and stylesheet files.
4. Enable gzip: 90%+ of browsers support compression, and gzip is better supported and compresses more than deflate. Gzip HTML files, CSS, scripts, XML, JSON — no images or PDFs.
5. Put CSS at the top, avoid @import as it loads last, even after the images!
6. Move scripts to the bottom as they block parallel downloads even across hostnames and block rendering of any code below them.
7. Avoid CSS expressions as they execute many times and cost CPU.

8. Use external JavaScript and CSS files. Inline CSS is apparently faster for a user’s start page, but not on subsequent pages. After the page has finished loading, use the time to preload scripts to speed up secondary pages.

   1. window.onload = downloadComponents;
   2. function downloadComponents() {
   3. var elem = document.createElement("script");
   4. elem.src = "http://.../file1.js";
   5. document.body.appendChild(elem);
   6. }
9. Reduce DNS lookups for the reasons stated above. Use 1-4 hosts and the keep alive setting.
10. Minify JavaScript with JSMin — inline scripts, too.
11. Avoid redirects as they are the worst form of blocking. Set Expires headers for redirects to enable caching.
12. Remove duplicate files: this is self-explanatory, but it can happen in large teams with many scripts and stylesheets.

13. Mind the ETag: Now this was something I never paid attention to. ETags are unique identifiers to distinguish files that share a URI. They are transmitted in the HTTP header. The default server setting uses the INode, the bytesize and the modification date of a file to calculate a unique ID. Unless servers in a cluster are identical, ETags differ, therefore the files are not cached. Fortunately ETags can be configured in Apache, so it should be possible to match them across different servers.

    1. FileETag MTime Size

    Note that the ETag is also relevant for RSS feeds. For example, currently the W3C talks feed is more or less unusable: some feed readers and services apparently regard the ETag, the feed is mirrored on many servers, so the same news entry from a different server is shown as new and unread multiple times every day…

14. Make AJAX cacheable and small. Some data like a user’s address book or buddy list change infrequently and should be requested via GET, cached, and set with a Last-modified timestamp and gzipped.

These are a lot of rules, and they will be published in a O’Reilly book by Steve Souders and Tenni Theurer in September 2007. Anyway, don’t be overwhelmed by their mass, instead you can start with the easy things: “harvest the low hanging fruit.” Enable caching with the Expire date setting and reduce the number of HTTP requests. You can deal with the rest later.

Finally Nate Koechley announced a Yahoo! performance tool called YSlow as a plugin for the indespensible Firebug extension. He also recommended the commercial IBM Page Detailer, and LiveHTTPHeaders to visualize what’s happening in your browser.