Ensuring Resilience in Android Apps: Chaos Engineering for Optimal Performance Across Devices
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Abstract
Unlock the secrets to building resilient, high-performing Android apps! In this talk, you’ll discover chaos engineering techniques to optimize UI, memory, network, and battery performance, reducing crashes and improving user experience. Learn how to stress-test and elevate your app to the next level
Transcript
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Hi, my name is Shanu Sahadevan, and in this talk, Maximizing Android App
Efficiency, Proven Techniques for Seamless Performance Across Devices,
I will share practical tips and proven methods to help you make your Android
app run faster, use less battery, and work smoothly on all devices.
Jetpack Compose and efficient layout strategies can significantly
boost performance, reduce lag, and enhance user experience.
Jetpack Compose simplifies UI development with a declarative approach, making
code cleaner and easier to maintain.
It optimizes UI updates by recomposing only necessary
parts, improving responsiveness.
It also reduces memory usage and recompositions significantly,
ensuring smoother performance.
With built in state management, Compose delivers high frame
rates and fluid user experience.
Deep layouts slow down the rendering.
By increasing CPU and GPU.
Workload ing view can cut rendering times significantly, making the
uua faster and more responsive.
Efficient resource management helps reduce app size and speed up loading
times for a better user experience.
Converting PNG and JPG majors to cut file size by up to 55
percentage without losing quality.
This reduces APK size, improves download speed, and saves storage with real world
cases, showing up to 3MB reduction.
Lazy loading defers non essential resources, cutting
initial load times by 40%.
By loading images and heavy UI components only when needed, apps achieve
faster first page render, improving performance on mid range devices.
Optimizing app size ensures faster downloads, lower storage
use, and better performance.
Android app bundles reduce APK size by up to 35 percent by
delivering only the necessary code and resources for each device.
This results in faster downloads, lower storage use, and higher
installation success rates.
ProGuard removes unused code, reducing app size by up to 90%.
It also optimizes bytecode, enhancing security and
improving runtime performance.
Efficient memory management prevents leaks and keeps apps running smoothly.
Using SparseArray instead of HashMap reduces memory usage by 50
percent by avoiding auto boxing.
It's especially effective for large collections.
Weak references help prevent memory leaks by allowing cached objects to
be garbage collected when needed.
This reduces out of memory errors by up to 40 percent in
production, improving app stability.
Optimizing network usage reduces data consumption and
improves app responsiveness.
Retrofits built in caching cuts network requests and reduces
API response times from 2.
5 seconds to 0.
3 seconds.
By reusing valued responses, apps stay responsive and
even with poor connectivity.
OKHTTP caching with custom interceptors lower data usage
and enable offline access.
A well configured disk cache balance performance and storage efficiently.
When it comes to threading, efficient multi threading keeps apps responsive
and smooth during background tasks.
Call in coroutines reduce UI thread blocking, ensuring smooth animations,
and trends responsiveness during network calls and image processing.
Also using Room Database with suspended functions boosts data operation
efficiency, enabling seamless pagination, real time updates, and offline
caching without affecting frame rates.
Optimizing battery usage helps extend device life and improve user experience.
Smart week log management cuts battery drain and ensuring background process
don't keep device awake unnecessarily.
Also, batching network requests and deferring tasks to ideal
periods reduce CPU wake up time.
Using job scheduler and work manager ensures tasks run only
when charging or on Wi Fi.
Android Studio Profiler helps identify and fix performance bottlenecks
for a smoother app experience.
Track real time CPU usage, memory allocation, and thread activity
to detect performance issues.
Use CPU sampling, heap dumps, and network analysis to find
bottlenecks across different devices.
Apply Profiler Insights can cut app load times by 40 percent
and reduce memory usage by 30%.
By implementing the techniques discussed in this presentation,
you can significantly improve the performance of your Android apps.
This leads to enhancing user satisfaction to a great level.
Thank you all for watching my presentation.