Recent posts tagged concurrency

Sometimes several processes can call the same function at once, even though its logic is completely unsuited to that. One worker changes the password for an external system, another does exactly the same thing, and a third is trying to log in. Everyo...

Running an LLM locally is easy to demonstrate. Start Ollama or vLLM, load a model, send a request, and watch it generate tokens. The interesting problems start when you send more than one kind of request. Imagine a local inference server handling ...

Go ships with a profiler built in. No third-party tools, no agents to install, no instrumentation to add upfront. If your service imports net/http/pprof, you can profile it live in production right now — CPU usage, memory allocations, goroutine count...

Every Go service that does I/O — database calls, HTTP requests, queue polling, file reads — should be passing a context.Context through every layer. In practice, a large number of codebases treat context.Context as optional plumbing that gets added l...

Engineering teams often chase performance: faster APIs, lower latency, optimized queries, reduced CPU usage. But in 2026, performance alone is no longer the defining factor of a reliable system. Modern architectures — distributed, event‑driven, conta...

Building a Concurrency-Safe Movie Reservation System with FastAPI, Redis, and PostgreSQL Introduction One of the most interesting challenges in backend engineering isn't building CRUD APIs—it's designing systems that continue to behave correctly w...

title: Rust Concurrency: Threads, Channels, Mutex & Sync Part 4 published: true tags: rust, concurrency, intermediate, systems coverimage: https://images.unsplash.com/photo-1558494949-ef010cbdcc31?w=1000 series: Core Rust Concepts > This is Part 4...

Most discussions of TypeScript/Node vs Go concurrency stop at the surface: Node is async, Go is threaded. That framing isn't wrong — it just isn't deep enough to be useful when you're picking a runtime, debugging a tail-latency problem, or explaining...

“What can we do with asynchronous programming?”, This was one of the questions I received in my talk on asynchronous programming that I delivered in Pycon MYhttps://kitfucoda.medium.com/from-blog-post-to-pycon-my-one-week-crash-course-in-public-speak...

In our previous exploration, we dove deep into AsyncIO by writing a task schedulerhttps://dev.to/jeffrey04/asyncio-task-management-a-hands-on-scheduler-project-2e54. We discovered how IO-bound operations were scheduled to the event loop concurrently ...