AI is changing the reliability game for SREs

The integration of AI into production workloads is complicating SRE efforts by introducing new failure modes and shifting operational toil toward the supervision of unpredictable model behaviors. While SLOs are widely adopted, SREs struggle to extract meaningful signals from increasingly noisy and fragmented telemetry. To succeed, teams must evolve observability into a unified control plane that provides the deep context necessary to govern both traditional and AI-driven systems.