Improve app performance with Android Studio Profilers (Google I/O '18)

This talk will demonstrate how to diagnose and troubleshoot performance problems with your app using Android Studio Profilers. It will cover examples of how to use the CPU, memory, network profilers, and highlight what's new.

#io18 #performance

event: Google I/O 2018; re_ty: Publish; product: Android - Android Studio; fullname: Esteban de la Canal; event: Google I/O 2018;

[fredrik.larsen]

Awesome! Great:) Please add a sample app that contains typical (realistic) issues like retaining view references etc. In order to educate :)

[quangnhat]

Great presentation, i am curious about how the android profiler works, especially the CPU profiler?

[landerlyoung]

That is really awesome!!! Thanks, guys!!! This worth a great applause!
If we can keep track of Native Memory Allocation and OpenGL/Graphics Memory Allocation, it will be damn GREAT!!

[tusharrastogi]

Hi, I am trying to get method call time (CPU) for my app launch, but the chart/data (method call time) the profiler populates is much higher than what I expect, plus if I record the time simply just by starttime - endtime of that method it is much low and seems accurate. What am I doing wrong here with profiling?

[igorg.]

Also, it'd be nice to see a color legend in the profiler so that we can understand the different colors in Flame Chart...

[sfma]

Can I use Android Studio Profiler to analyze the app not developed by me? I do not have the code, just the apk.

[mangeshpawar]

I have a app with SDK 18 and I want to profile it can you please guide me with it.

[witoldsienski]

Thanks for this talk. This is really good live presentation :)

[maksymmotornyi]

Can you share the source code of an example?

[tazzess]

Solve the problem of tons of bloatware in Android Studio first.