Evaluating Element Timing for images
In the search for a better user experience metric, we have tried out the upcoming Element Timing for Images API in Chrome.
Category: Wikimedia Performance (page 3)
Introducing: Autonomous Systems report
Today we’re publishing our first report of the performance experienced by visitors of Wikimedia websites, focused on the Autonomous Systems visitors are connecting from.
Debugging production with X-Wikimedia-Debug
Here are ways we debug issues in production when users report bugs.
Perf Matters at Wikipedia in 2015
Looking back at our ups and downs.
Magic numbers
Should we be skeptical of performance guidelines which state that 100 milliseconds feels instantaneous to everyone?
Why performance matters
Performance is important in many ways, some of which matter particularly for the Wikimedia Foundation.
Machine learning: how to undersample the wrong way
Machine learning is a powerful tool, but it’s easy to use it incorrectly and draw biased conclusions, as we’ll show in this real world example.
Best friends forever
We use both synthetic and RUM testing for Wikipedia. These two ways of testing performance are best friends and help us verify regressions. Today, we will look at two regressions where it helped us to get metrics both ways.
Performance testing in a controlled lab environment – the metrics
One of the Performance Team responsibilities at Wikimedia is to keep track of Wikipedias performance. Why is performance important for us? In our case it is easy: We have so many users and if we have a performance regression, we are really affecting people’s lives.
Mobile web performance: the importance of the device
Let’s explore our web performance data from an angle we haven’t explored before: mobile device type.