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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: • Golang Channels Explained | Stop Making De... Goroutines: • Internal Working of Goroutines in Golang |... Golang Playlist: • Golang Tutorial for Beginners in Hindi | C... RabbitMQ: • Master RabbitMQ with Golang in One Shot |... 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: ----------------------------------------- • 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. #golang #golangseries #codersgyan #learngolang #goprogramming #golangforbeginners #golangbasics #golangprogramming #golangfullcourse #interview