Hi everyone,
I’ve been working on configuring a new course instance in Open edX (Koa release), but I’ve recently hit a persistent technical snag where the LMS dashboard becomes incredibly sluggish and the Studio editor occasionally times out while I’m trying to save XBlock configurations.
I am currently using a https://deltaexeutor.com/vng/ community setup to handle some automated local logging and data-scrubbing scripts in the background while I develop. I’ve noticed that whenever the background executor starts a heavy processing cycle, my interaction with the Open edX interface starts to “hang.” It’s particularly noticeable when I’m trying to navigate through the course outline or sync my local changes to the devstack. It feels like the background process is competing for the same system resources—specifically CPU and memory—that the browser needs for the platform’s heavy JavaScript rendering.
I have a few related technical questions for the operators here:
I’m not sure if the way a https://deltaexeutor.com/vng/ style environment manages its internal threading is causing a resource contention issue with the specific Docker containers or the local Python runtime. Has anyone else encountered performance bottlenecks or “Gateway Timeout” errors while running high-level script executors alongside their Open edX development tools? I am also wondering if there is a recommended way to isolate the executor’s priority so it doesn’t “starve” the resources needed for stable platform testing and interface responsiveness.
I really need to keep this automation active while I build out the course, but the constant UI lag is making it difficult to stay productive. If anyone has experience optimizing a workstation for concurrent usage of heavy script executors and Open edX, I’d love to hear your advice!
Thanks for the help!