![]() This approach makes it possible for developers to use a common programming model while building an application targeted for both desktop and mobile devices and to share much of the code, graphics assets and content between desktop and mobile versions. JavaFX 1.1 was based on the concept of a "common profile" that is intended to span across all devices supported by JavaFX. Please help update this article to reflect recent events or newly available information. So, these percentiles help tech companies make sure their apps and services are speedy and reliable for everyone, most of the time.ĭo you think, optimising for p99.Parts of this article (those related to Features) need to be updated. And p99.9 might be like 10 seconds – in those rare situations, almost everyone is still happily streaming within 10 seconds. p99 might be 5 seconds – even when things get a bit crowded, 99 out of 100 times, you're watching in 5 seconds. When you press play, you want the video to start fast, right? So, they use these percentiles to make sure most people get a quick response.įor instance, p90 could be like 2 seconds – in 9 out of 10 cases, your show starts in 2 seconds or less. Think of a popular streaming service like Netflix. Now, let's take a real example from the tech world. Like, "Even in crazy situations, almost everyone gets a speedy response." 99.9% of the time, the app responds in this time or quicker. It's like saying, "Hey, even when things get a bit busy, almost everyone gets their response in this time." 99% of the time, the app responds in this time or faster. p99: Now, we're talking about the more extreme cases. So, if you order food 10 times, 9 of those times, the app is pretty quick. 90% of the time, the app responds in this time or even faster. ![]() ![]() ![]() ![]() It's like looking at different scenarios. We use percentiles, like p90, p99, and p99.9, to understand this time stuff better. Now, response time is how long it takes for the app to get back to you. When you click a button or do something in a software application, it takes some time to respond, right? ![]()
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