FrameMetrics — realtime app smoothness tracking

A couple months ago, when Android Nougat was announced, among new features like Multi-window, enhanced notifications, VR support, 72 new emojis đź‘Ť and others, there was a new addition to monitoring tools: Frame Metrics API. Continue reading “FrameMetrics — realtime app smoothness tracking”

Dagger 2 on production — reducing methods count

Dagger 2 — fully static, compile-time dependency injection framework is a backbone of code architecture in Azimo Android app. We already know that with growing dev team clean code structure is one of the most important things in every project. Initialisation/usage separation, easier testing (unit or functional), better scalability —those are just a few of the benefits that come from use of dependency injection framework like Dagger 2.

Continue reading “Dagger 2 on production — reducing methods count”

Async Injection in Dagger 2 with RxJava

This post is a part of series of posts showing Dependency Injection with Dagger 2 framework in Android. Today we’re going to take a look at Asynchronous injection 2 with RxJava — alternative for Dagger 2 Producers Continue reading “Async Injection in Dagger 2 with RxJava”

AndroidDevMetrics — Activity lifecycle methods tracing

AndroidDevMetrics is a performance metrics library which will help you find potential performance issues in your Android app. Thanks to it we are able to measure objects graph initialization in Dagger 2, Activities lifecycle methods timings and frame drops for each screen in app.

Continue reading “AndroidDevMetrics — Activity lifecycle methods tracing”

Dependency injection with Dagger 2 — Producers

This post is a part of series of posts showing Dependency Injection with Dagger 2 framework in Android. Today we’re going to take a look at Dagger Producers — an extension to Dagger 2 that implements asynchronous dependency injection in Java.

Continue reading “Dependency injection with Dagger 2 — Producers”

AndroidDevMetrics — app performance metrics for Android development

We live in times where mobile apps have to not only do their job but also do it smooth and delightful. In times where almost every Android device has huge computing power and operating system is really mature (and I’m not saying only about Lollipop or Marshmallow). Less and less things limit us to to deliver really beautiful apps.

But it also means that there are no excuses for us — the developers. We cannot say anymore: “this is because your crappy Android device… Do you want smoothness? Let’s check it on iPhone.”. Now it’s our fault that app works and looks good only on this year’s high-end device. We cannot blame platform developers anymore because they already did awesome job with optimizations in Android.

Moreover, they started sharing their knowledge about performance, optimizations and how things work under the hood. If you haven’t seen it yet just take a look at this videos collection — Android Performance Patterns. Do we need more proves that now everything is really in our hands? Continue reading “AndroidDevMetrics — app performance metrics for Android development”

Dagger2Metrics – measure performance of DI graph initialization

A couple months ago we went through possible issues with Dagger 2 – graph creation performance. Thanks to TraceView tool we can see exactly how much time is needed to initialize all requested dependencies. But it’s not easy – we have to find places in our code to start and stop measuring, dump results and analyze them in Android Studio. To make it bit easier, I’ve prepared simple library which can help with catching potential performance issues. Continue reading “Dagger2Metrics – measure performance of DI graph initialization”

FlatBuffers performance in Android – allocation tracking

After my last post about parsing JSON in Android with FlatBuffers parser (implemented in C++, connected via NDK to our project) great discussions started about the real performance of FlatBuffers and comparising them to another serialization solutions. You can find those debates on Reddit or in comments section on Jessie Willson’s blog. Continue reading “FlatBuffers performance in Android – allocation tracking”

JSON parsing with FlatBuffers in Android

FlatBuffers library is getting more and more popular recently. If you check last Android Performance Patterns series, Colt McAnlis mentions about it a couple times in different videos. Probably you remember Facebook’s announcement about migration to FlatBuffers. Also some time ago I published post about how to start using it in Android. Continue reading “JSON parsing with FlatBuffers in Android”

Dagger 2 – graph creation performance

#PerfMatters – recently very popular hashtag, especially in the Android world. The times when the apps just did something, no matter how, are already gone. Now everything should be pleasant, smooth and fast. For example Instagram spent almost half a year just to make its app faster, more beautiful, and more screen-size aware.

That’s why today I’d like to share with you short hint which can have a great impact on your app launch time (especially when it uses some external libraries). Continue reading “Dagger 2 – graph creation performance”