Recent insights indicate a shift in site reliability engineering (SRE) towards using multi-agent AI systems that collaborate with on-call engineers. This approach involves AI agents specialized in various domains, such as logs and metrics, orchestrated by a supervisor for efficient incident management. Ar Hakboian of OpsWorker highlights that AI’s true value lies in reducing cognitive load by proposing queries and hypotheses, ensuring engineers remain in control for decision-making.
Research by Zefang Liu corroborates this, suggesting centralized or hybrid structures yield higher success rates in managing cyber incidents than decentralized teams. While AI agents excel in technical investigation, they lack the operational maturity necessary for production incidents, emphasizing the need for cautious implementation and human oversight. Supporting this, EverOps reported that most SRE professionals view AI as an enhancement tool rather than a job replacement. Overall, these insights advocate for a collaborative, structured approach to integrating AI in incident response workflows.
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