Seeking advice: Using concurrency in Go backend and distributed systems for internship

Hey folks!

I’m starting an internship soon at a big tech company. I’ll be doing full-stack work with React and Go, focusing on distributed systems in the backend.

I’ve been studying concurrency lately. I’ve done some Leetcode problems, watched some lectures, and even made a simple MapReduce thing. But I’m wondering about real-world stuff:

  • What backend or distributed systems tasks actually need concurrency?
  • How often do you use things like goroutines, channels, or mutexes?
  • What concurrency skills are most important for real production systems?
  • If you’re a backend or distributed systems dev, what’s your typical day like?

I’d love to hear your thoughts, especially what you wish you’d known before working with this stuff for real.

Any tips would be awesome! Thanks!

hey, concurrency is essential for managing simultaneous requests. i use goroutines often and channels for comms. mutexes pop-up when needed. everyday is about debugging and fixing race conditions. dont stress, you’ll get the hang of it!

Concurrency is indeed crucial in Go backend development, especially for distributed systems. In my experience, it’s used extensively for handling multiple client connections, processing data streams, and coordinating microservices. Goroutines are particularly useful for task parallelization, while channels excel in managing communication between concurrent processes. Mutexes are critical for protecting shared resources in multi-threaded environments.

A typical day involves designing concurrent architectures, optimizing performance, and troubleshooting race conditions. It’s important to master Go’s concurrency primitives and understand synchronization patterns. Focus on learning how to structure concurrent programs effectively and debug concurrency-related issues. Don’t underestimate the importance of proper error handling and graceful shutdown mechanisms in concurrent systems.