An SRE agent stops starting from scratch: it writes detectors and playbooks, resolving recurring faults 2.1x faster
SDO, an operator agent for Kubernetes applications, distills each resolved incident into reusable operational memory: parameterized playbooks that record diagnosis and repair steps, non-LLM detectors that decide from cluster state which playbook applies, and an architecture summary that binds playbook roles to the current application. Across 11 open-source microservice applications, SDO cuts resolution time on recurring faults by 52%, with median resolution falling from 584 s to 282 s and tokens from 5.4M to 2.2M; when deploying applications from source, operational memory reduces deployment time and token use by 47.5%.