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💡 Key takeaways from the session: 1. Duraivelan D (Practice Head – Cloud & Digital, StackRoute) briefly set the context for the session, framing the discussion around how SRE is evolving in today’s cloud-native and distributed environments. 2. Pradeep Kumar Mishra (Senior Director – Data Engineering, Dell Technologies) shared enterprise-scale perspectives on: How large organizations move from reactive to proactive and autonomous reliability The role of ML-driven predictive detection, dynamic baselines, and closed-loop remediation Why AI-native SRE is becoming essential as system complexity and data volumes increase 3. Amit Gandhi (Co-Founder & CTO, Parkar Digital) brought a practitioner’s lens to the discussion, covering: Why AIOps must be tightly integrated with SRE to work in production The importance of high-fidelity observability, context, and correlation How production-grade AIOps helps teams move from alert fatigue to self-healing systems The role of GenAI copilots and MLOps in reducing operational toil and improving MTTR A recurring theme throughout the session was that autonomy does not mean blind automation. Trust, governance, and well-defined guardrails are critical to safe and effective AI-driven operations.