Deliver great apps with mobile performance monitoring

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You can clone the source code and try to run performance tests by yourself. Your vertex shader can then access that attribute to make use of per-instance information. We cover this topic in. The typical performance test result will look like this The dialogue reports average, baseline and Max STDDEV values.

Unfortunately, most of the apps in the market do not do so. If you have synchronous calls in the main thread, measure the time spent on these calls. DDLogDebug Indicates data mostly useful for debugging.

OpenGL ES Programming Guide

Your application should start almost instantaneously, its interface should be buttery smooth. The app performance is one of the key advantages in the competitive software market. As developers, we also want to be proud of the apps we work on. However, performance optimization is a tricky problem. Most of the bottlenecks are counterintuitive. With no proper measurements, it is extremely hard to figure out what is slowing down your app. In this piece I will show how to get this data by measuring performance of the different areas of your app. Apple has a great tool to accomplish that:. WWDC videos are the best source of information about using Instruments to profile your app. Responsiveness Next important thing to measure is responsiveness of the UI. Touch handling happens in the main thread. When you have time-consuming operations there, your app become sluggish. If you have synchronous calls in the main thread, measure the time spent on these calls. To measure this, you can use logs. Use this data to detect calls that takes too much time 400 ms is a good threshold, you can read for more information and either optimize them or move it out of the main thread. Startup Time Next important thing to measure is how fast your app starts. Typical user spends in your app. Long startup time leads to frustration. It is being restored from background. This section is devoted to the cold startup since it is more resource-heavy operation. There is the startup sequence of an iOS app. Try to keep the cold startup time under 1 sec. Measure the time for the phases of launch sequence It is usually not enough to know just the total time spent on launching. It is also important to know what phase of the startup sequence slows it down. As soon as you app returns from this method, actual UI starts loading. This method is also called when your app is being restored from background. If some of the methods is taking too much time, optimise it. User usually switches to your app from another app. It is really important to measure the startup time in the conditions when your app is starting while another, heavy app is at the same time going to the background and trying to save its data. That testing can uncover some unexpected results. The code, that was completely harmless before, might slow down your app significantly in that conditions. Even if the UI is loaded and responsive, but there is some data you need to load to be ready, count it as a startup phase as well. Performance metrics to collect from your users All the previous measurements are possible in the test environment. They are necessary, but not sufficient. If your app is popular, if your userbase is distributed across the globe, some of your users might have an environment that is vastly different from what you expect. They might use the app differently either. What to do about it? Define a set of performance metrics or KPI and gather them from your real users. You can use almost any analytics package to do this. The analytics packages will let you to distribute put these values into segments, together with device type, country or network operator. That might bring insights on what performance issues your users experience and how to fix it. Conclusions As you can see, performance measurements go beyond just launching Instruments. There are also other valuable places to look at. Some of the described methods are fast and easy to implement, the others require more time and effort. Nevertheless, they will help you to monitor your app performance, to find and resolve issues and to make your app more enjoyable to use. Good luck and 5-star reviews!

Here, my device was disabled and Xcode indicated that the device was not available for use. Looking into Increased Memory Allocations in ios app performance profiling App In addition to just the memory allocations, the Time Profiler also shows some big spikes that piece with each tap of the button see Figure 5. Unless otherwise labeled, the advice in this chapter pertains to all versions of OpenGL ES. In addition, if you have been developing your app using low-bandwidth conditions, running it in high-bandwidth conditions can produce different results. This conveys to the note the expected wait time before the music can start. You can use an ADB to deploy an Android package APK manually after building.