An SRE Agent on 3 clouds that keeps your site reliably up

An engineer describes an AI-assisted on-call system built around three open models deployed across GCP, AWS, and Azure, with each agent monitoring the others through SREChat, a multi-master chat server designed to continue accepting writes and converge after network partitions. This cross-cloud design ensures that if one cloud or its monitoring agent fails, agents in the remaining clouds can detect the outage and send alerts, while agents can also inspect application logs, deployment revisions, and error-tracking data and potentially roll back faulty releases. The author argues that recent model reliability makes AI useful for interpreting operational data, while model-routing fallbacks prevent alerting from depending on a single AI provider during outages. Rather than relying on one costly model, the system uses several fast, inexpensive models with fallback routing, treating redundancy at both infrastructure and model layers as essential for dependable operations. Daily container restarts and weekly network-partition drills test the system’s resilience, with results reported through the same chat channel used for real incidents.

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