What methods and tools are used for monitoring and optimizing resource usage in Kotlin programs?

The following methods and tools are used for monitoring and optimizing resource usage in Kotlin programs:

• Profiling: using Android Profiler (in Android Studio) to monitor CPU, memory, and network in real-time.
• Memory leak debugging: tools like LeakCanary help identify memory leaks.
• Garbage collection optimization: writing code with minimal creation of temporary objects, using inline functions.
• Using coroutines: for efficient thread management and minimizing blocking.
• Static code analysis: tools like Lint to identify potential performance issues.

An example of using coroutines for asynchronous work without blocking:

import kotlinx.coroutines.*

fun main() = runBlocking {
    launch {
        delay(1000L)
        println("Asynchronous task completed")
    }
    println("Main thread")
}

Thus, combining profiling tools and best practices for writing efficient code helps control and optimize resources in Kotlin applications.