pckrishnadas88
Hey everyone! 
I’ve published Part 7 of the Building Distributed Systems in Elixir series, where we build core distributed systems and concurrency patterns from first principles using raw process primitives (spawn, send, receive) before reaching for OTP abstractions.
In this part, we explore Worker Pools and Bounded Concurrency
What’s covered:
- The Problem with Unbounded Concurrency: Why spawning
10,000processes for heavy tasks leads to socket/database exhaustion and memory pressure. - Demand-Driven / Pull-Based Distribution: How workers pull tasks when idle instead of pushing work blindly, implementing backpressure naturally.
- Atomic Completion & Availability: Combining job completion notifications and worker re-availability into a single message (
{:available, worker_id, self(), job, result}) to prevent race conditions. - Graceful Pool Lifecycle: Coordinating shutdown signals across a coordinator and worker pool without dangling processes.
Links:
Read the article: Building Distributed Systems in Elixir: Part 7 — Worker Pool
GitHub Repository: elixir-distributed-systems-lab
Feedback, thoughts, and discussions are always welcome!
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alvinkatojr
Excellent work man! I stopped at part 4 and have been waiting for the rest. Now I can resume from where I stopped.
pckrishnadas88
Thanks a lot!
Glad you’re enjoying the series. Hope the upcoming parts are useful too!
alvinkatojr
Oh, I’m sure the upcoming parts will be useful. Keep them coming!
alvinkatojr
Just a nudge, @pckrishnadas88. I know you are busy, but I’m patiently waiting for the next article in the series
pckrishnadas88
Sure will update it was bit busy with my sister’s wedding arrangements which is this weekend.
alvinkatojr
Oh wow! Congratulations to your sister and to you, Mr. Brother-in-law!
For now focus on the wedding; I/we can wait until next week! Have fun!