Optimizing performance and managing resources efficiently in Android ecosystem is very crucial in order to ensure smooth UI experience and prolonged battery life. What I did was mainly with the performance optimization mainly I used it for profiling and benchmarking like using the Android Studio there is an option for profiler and systrace where you can optimize the overall memory leaks or memory that is caching out by using maybe by making use of this profiler technique. Regularly the profiler app we can use to identify the performance such as very slow UI rendering or memory leaks we can use make use of leak canary as well these kind of things and you can efficiently render any UI like you can reduce the number of times a pixel is drawn by optimizing the view hierarchy and using constraint layout instead of the nested layouts that is one thing and memory management is an added advantage where you can avoid memory leaks and bitmap optimization where you can use bitmap loading strategies like glide or Picasso based on your bitmap factory operations to down sample the images and network optimization is one thing like you can efficiently call the APIs like retrofit, voli and cache the responses to reduce the network load. One more thing is battery optimization like you can minimize the background work like you can use job scheduler or work manager to schedule background task efficiently and avoid using background services unless when you actually need it or when either case if it is necessary only you can make use of it. Resource management coming to that aspect like a string resources I have used like you can make use of string resources for any text to support localization and avoid hard coding of strings then you can make use of drawable optimizations like you can use vector drawables instead of raster images to reduce the APK size and support multiple web densities. Now we have WebP also to reduce the size of the images then you can handle configuration changes like lifecycle like if you are aware of Android Activity lifecycle that lifecycle awareness is there means the components like view model and live data to manage UI related data to survive configuration changes at least you can do with that one. Then you can handle the persistency state like you can use this method called as on save instance state and view model to save and restore the UI state during configuration changes and you can efficiently manage thread management as well like you can avoid long running operations on the main thread by using async task executor service or Kotlin coroutines for background task. Then you have data optimization like to optimize SQL lite queries to reduce execution time and memory usage use indexing and avoid complex joins that is about resource management I know that's what I know about that one.
