Yandex's engineering team writes about open-sourced infrastructure, LLM training and compression tools, and systems topics such as retries.
Commenters link it as the fuller write-up behind Yandex's open-source releases, such as YaFSDP and the YTsaurus big data platform, and for its retry article.
The fun thing about control theory in CS is that (in my experience) it's far easier to build accurate simulations or even run scaled down experiments than it would be in a physical setting.
See articles like [1] or any of Marc Brooker's [2] blog for inspiration
[1] https://medium.com/yandex/good-retry-bad-retry-an-incident-story-648072d3cee6
[2] https://brooker.co.za/blog/2022/04/11/simulation.html
There's thankfully a link to a medium post, describing a bit of what it is, how they got here. https://medium.com/yandex/ytsaurus-exabyte-scale-storage-and-processing-system-is-now-open-source-42e7f5fa5fc6
The blog post seems to contain more details and the core ideas: https://medium.com/yandex/yafsdp-a-tool-for-faster-llm-training-and-optimized-gpu-utilization-is-no-632b7539f5b3