How can you optimize Android app performance with the Android Profiler tool?

There are several benefits to using a profiler . Developers can measure app performance using this potential visualization. 1. CPU profiler : it's track runtime performance 2. Memory profiler: track memory allocation and memory leaks. And so on like an energy profiler, macro benchmark, micro bench marks , network profiler etc.

Android Profiling in Android Studio allows developers to: 1- Detect UI jank: Identify and resolve issues causing sluggish user interface responsiveness. 2- Identify memory leaks: Pinpoint and fix memory allocation problems leading to inefficient memory usage. 3- Track threads and processes: Monitor app execution to optimize performance and resource allocation. 4- Monitor resource and energy consumption: Analyze and optimize resource usage for better energy efficiency and performance.

The Sessions pane provides an overview of app performance over time. Pay attention to metrics like CPU usage, memory usage, and frame stats. Spikes may indicate inefficient operations. Improving these can optimize performance. Compare metrics across sessions to pinpoint code changes that impacted performance - good or bad. Inspect slow method traces and CPU flame graphs during spikes to identify particular methods contributing to problems. Trace garbage collection events and modify code to reduce GC churn if it is frequent or slow. Drill into details for frames and memory to optimize costly rendering and layout operations. Check for jank or skipped frames which can point to areas for improvement. Smooth out frame rates.

The Sessions pane in Android Studio's Profiler: Access the Sessions pane from the Profiler tab. It displays timelines of profiling sessions for your app. Click on a session to view detailed profiling data. Analyze data such as CPU usage, memory allocation, and network activity. Compare data between different sessions to track changes over ti

The Timeline provides a detailed visualization of app activity during a profiling session. You can inspect the exact timings of processes, threads, GC events, and renderer events like layout and draw. Zoom into specific periods of activity to understand what the app was doing. Check for long execution times, dropped frames, or jank that indicate optimization areas. Click on events to filter the timeline to just that event type. This isolates areas of interest. Analyze GC and rendering events - reduce, relocate, or eliminate those taking too long. Compare before/after timelines to validate optimizations for specific events. Inspect thread activity for signs of contention or excessive synchronization.

To use the System Trace pane in Android Studio's Profiler: 1- Access it from the Profiler tab. 2- Start recording by clicking the "Record" button. 3- Interact with your app to capture data. 4- Stop recording when finished. 5- Analyze the trace data for performance insights and optimizations.

Examining Network Activity can help analyze network requests, their duration, and response sizes. Optimize by reducing unnecessary network calls, implementing caching, or optimizing data payloads. Monitoring GPU Rendering can help identify rendering issues such as overdraw or inefficient drawing operations. Optimize app by minimizing overdraw, using hardware-accelerated drawing, and optimizing complex UI elements.

Introduced in Android Q, Profileable is a manifest configuration that allows specifying whether an application can be profiled by tools like Android Studio, Simpleperf, and Perfetto. Prior to this, developers could only profile debuggable apps, incurring significant performance costs that could affect profiling accuracy, especially in timing-related scenarios. Also starting in Android Studio Hedgehog, the Power Profiler shows power consumption on devices and is very helpful to optimize power consumption.