Predicting the non-functional properties of a Ceph cluster can be quite difficult. There are many inputs in the hardware setup and software configuration that affect the resulting availability, reliability and performance (latency and throughput at nominal levels and during degraded and rebuild times). I want to understand the interrelationship of these parameters better and build a (perhaps interactive) model that allows us to predict the result without the need to build a ten thousand node cluster.

Orcas are amazing animals. They are playful, intelligent, great swimmers, and very social. They also love to play with their food, hunting down their prey with advanced strategies - understanding where its prey hides, how it will try to escape, and how to overcome those tactics - and having a lot of fun doing so, before relentlessly tearing it apart, killing it, and eat it. Not necessarily in that order. Oh, and they have the right color scheme. This forces their prey to also improve and adapt more advanced strategies and tactics. In this arms race, both sides evolve and improve: the evolutionary pressure has made cephalopods highly intelligent, adaptable, and resilient. Unfortunately (for them), they are still very tasty. So we should exert more evolutionary pressure on individuals to help them stay alive as a species.

Summary

knots aims to be a multi-node S3 benchmark and load generator written in Rust and on top of WebAssembly, waPC, and waSCC.

Project Description

Most of us remember a period of our lives when we had time to stay somewhat uptodate on the research and developments in our area of expertise. However, this often falls short during our day-to-day work, as we get bogged down in the engineering problems of the real world, and the struggle of explaining even basic concepts to laypeople :-)