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DESCRIPTION:Multi-cloud Kubernetes environments increase operational entropy with more network paths, greater latency variance, and a larger failure surface. Traditional monitoring surfaces symptoms but does not govern system behavior. When automation or AI-assisted optimization is introduced without safety boundaries, it can amplify instability rather than reduce it.\nTune into this session from Walmart Global Tech’s Sibasis Padhi as he presents a practical approach to closed-loop reliability governance built around percentile-based SLO enforcement (p95/p99), breach-triggered optimization, corrective actions, and measurable before/after validation. The focus is vendor-neutral and implementation-oriented, showing how cloud and platform teams can move from reactive monitoring to controlled, auditable optimization across distributed environments.\nKey Takeaways:\n- Why p95/p99 latency; not median - should drive operational decisions.\n- How SLO breach detection becomes the trigger for safe automation.\n- Guardrails that constrain optimization actions (bounded change, rollback readiness).\n- A practical checklist for implementing reliability governance on Kubernetes.\n
DTSTART:20260407T150000
DTEND:20260407T160000
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LOCATION:Online
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SUMMARY;LANGUAGE=es-es:Tecnowebinars.com - :: Implement Closed-Loop Reliability Governance for Multi-Cloud Kubernetes
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