DAY-10 | How to limit goroutine creation? | Master Golang Interviews

Hello, Welcome to series of Master Golang Interviews.In this episode of the Master Golang Series, we tackle a critical concurrency challenge: How to limit goroutine creation effectively using the Worker Pool Pattern.

Channels: https://youtu.be/NMNfVsWGAps
Goroutines: https://youtu.be/kTgz1oBp69k
Golang Playlist: https://www.youtube.com/playlist?list=PLxBfKGlYrg-Hudnm0odvZZDn-J6BEmr1y
RabbitMQ: https://youtu.be/Gpn6yEYFARA

While Goroutines are lightweight, spawning millions of them without control can crash your application due to memory exhaustion. If you are building high-performance backend systems in Go, understanding how to manage concurrency resources is non-negotiable.

In this tutorial, we will implementing a robust Worker Pool from scratch. We'll move away from simple "go func()" calls and build a structured system where a fixed number of workers process jobs from a buffered channel. This pattern is essential for tasks like processing large CSV files, handling API webhooks, or database migrations where you need to throttle execution.

WHAT YOU WILL LEARN:
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• The dangers of unlimited Goroutines (OOM crashes)
• Core architecture of the Worker Pool Pattern
• How to use Buffered Channels as Job Queues
• synchronizing workers using sync.WaitGroup
• Real-world scenarios for rate-limiting concurrency

This video is perfect for backend developers preparing for technical interviews or looking to level up their System Design skills with Golang.
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Видео DAY-10 | How to limit goroutine creation? | Master Golang Interviews канала Backend Knights