+1 I’m not sure if tasks like Add OTel instrumentation belongs more in a Coding bench than an SRE bench. I came here expecting to see things like, this is how Models perform on finding the root cause in 50 complicated microservice failure scenarios.

For AI-SRE tasks like finding root cause of bugs and errors, I believe the key is to provide tools to the agent to query metrics, logs, traces and understand the problem. I’m working on a similar OSS framework and benchmark (work in progress using metrics and logs - demo - https://youtube.com/playlist?list=PLKWJ03cHcPr3Od1rwL7ErHW1p...), where context is Semantics and Text2SQL to query the right metrics, logs and benchmark is on a set of Skills that Claude code or other agents can run using these tools to find the root cause of errors:

Codd Semantic/Text2SQL engine: https://github.com/sathish316/codd_query_engine

PreCogs skills and simulated scenarios: https://github.com/sathish316/precogs_sre_oncall_skills