Perf Matters at Wikipedia in 2015
Looking back at our ups and downs.
Tag: web performance (page 4)
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.
Measuring Wikipedia page load times
Here is how we measure and interpret load times on Wikipedia. Let’s also look at what real-user metrics are, and how percentiles work.
The journey to Thumbor, part 3: development and deployment strategy
Introducing Thumbor replaces an existing service, and as such it’s important that it doesn’t preform worse than its predecessor. We came up with a strategy to reach feature parity and ensure a launch that would be invisible to end users.
The journey to Thumbor, part 2: thumbnailing architecture
To understand why Thumbor is a good fit, it’s important to understand where it fits in our overall thumbnailing architecture. A lot of historic constraints come into play, where Thumbor could be adapted to meet those needs.