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Ankush is a Principal Solutions Architect at Amazon, where she leads the global payments platform With over two decades of experience in payment systems architecture and enterprise software development, I specialize in transforming complex payment infrastructures and driving operational excellence at scale. She is a technology strategist and IEEE-affiliated professional focused on AI-native architecture, Agile transformation, and enterprise modernization. She has experience in large-scale distributed systems at the intersection of high-performance engineering, big data and AI-driven innovation. She has architected and scaled mission-critical platforms that serve millions worldwide, ensuring resilience, compliance and trust in every interaction.Prior to Amazon, she served as Technical Architect at Walgreens, where she led the modernization of critical payment infrastructure, including the strategic migration from Base24-Classic to Base24-EPS. She architected complex message parsing solutions and host-to-host interfaces for major payment processors, while establishing modern CI/CD pipelines supporting millions of daily transactions across 8,000+ retail locations.

metrics, agents, ai, cloud-native, cloud native, project, istio, ambient, architecture, modules, cloud native, CCoE Kubernetes Virtana CrowdStrike cloud native

Measuring AI-Driven Automation: The Metrics That Prove Whether Your Platform is Actually Getting Smarter 

AI is reshaping cloud-native operations, but old automation metrics mislead. Learn the modern KPIs—MTTR, action quality, autonomy and cognitive load reduction ...
Ankush Dhar | December 3, 2025 | agentic AI systems, AI action quality, AI automation metrics, AI cloud operations, AI governance metrics, AI incident response, AI-driven reliability engineering, AIOps performance metrics, autonomous remediation, cloud cost optimization AI, cloud native AI, cloud platform automation, cloud-native automation KPIs, cognitive load reduction SRE, explainable AI operations, false action rate, MTTR reduction, operational intelligence, predictive incident prevention, SRE automation

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