Building a Go Goroutine Pool: Concepts and Implementation for Efficient Concurrency
In concurrent programming, effectively managing computational resources is crucial for application performance and stability. Developers often leverage thread pools in languages like Java to control thread creation overhead, facilitate thread reuse, and optimize resource utilization. Similarly, in Go, while goroutines are designed to be lightwe ...
Posted on Sat, 08 Aug 2026 16:08:59 +0000 by Suchy
Multiplexing Asynchronous Coroutines with Kotlin Select Expressions
Kotlin's select expression enables a coroutine to wait on several suspending operations simultaneous, proceeding with whichever becomes ready first.
Receiving from Multiple Channels
Consider two producers emitting distinct events at different intervals. The first generates a "Tick" every 300 milliseconds:
fun CoroutineScope.ticker() = ...
Posted on Mon, 29 Jun 2026 17:23:47 +0000 by hashim
Core Concepts and Operations in Java NIO Channels
Buffer Allocation Strategies
Non-direct buffers allocate memory within the standard JVM heap. When performing I/O, the JVM must copy data between the heap and the operating system's native memory space, introducing an extra step during read/write cycles.
Direct buffers allocate memory outside the JVM heap, typically in native OS memory. This ap ...
Posted on Wed, 27 May 2026 17:46:30 +0000 by Lord Brar
Common High-Concurrency Patterns in Go
Loop with Select
A frequent idiom in Go for managing concurrent workflows involves an infinite loop combined with a select statement. This pattern enables a goroutine to monitor multiple channels simulteneously and react to whichever becomes ready first.
for {
select {
case msg := <-inputCh:
// Handle incoming message
cas ...
Posted on Thu, 07 May 2026 20:03:20 +0000 by Rollo Tamasi