"Hakboian describes a pattern in which specialised agents: one for logs, one for metrics, one for runbooks and so on, are coordinated by a supervisor layer that decides who works on what and in what order. The aim, the author explains, is to reduce the cognitive load on the engineer by proposing hypotheses, drafting queries, and curating relevant context, rather than replacing the human entirely."
"Liu's experiments compared centralised, decentralised and hybrid team structures and found that homogeneous centralised and hybrid structures achieved the highest success rates. In contrast, decentralised teams of domain specialists struggled to reach consensus without a leader. Liu's findings suggest that having autonomous agents working together actually causes more confusion and doesn't solve problems faster. The implication for SRE is that having a supervisor or orchestrator is a better"
Organisations are shifting toward multi-agent AI systems that collaborate with on-call engineers, narrowing search spaces and automating tedious incident-investigation tasks while leaving judgment to humans. Specialized agents handle logs, metrics, runbooks and other data sources, coordinated by a supervisor layer that assigns tasks and sequencing. The supervisor proposes hypotheses, drafts queries, and curates context to reduce cognitive load rather than replace humans. Experiments comparing centralised, decentralised and hybrid agent teams show centralised and hybrid structures perform best, while decentralised specialist teams struggle to reach consensus without a leader and can increase confusion.
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