Shalini Sudarsan is a DevOps Engineering Leader at Kindercare Learning Companies, USA. designing reliable, secure, and cost-optimized data and AI platforms. A Forbes Technology Council Member, Fellow of IETE and Women in Engineering (WIE) Oregon section, she drives enterprise AI adoption with a governed operating model that speeds time-to-market while lowering risk and spend. Shalini’s expertise spans BI strategy, data platform architecture, MLOps, observability, and value realization. She is known for translating complex engineering into measurable business outcomes. Shalini brings deep technical rigor and business expertise in the areas of DevOps and Reliability Engineering. A committed advocate for advancing technology, Shalini regularly presents at international conferences and contributes to IEEE and ACM as a technical reviewer.

Presentations

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From DevOps to AIOps: The Next Leap in IT Operations

For years, DevOps improved delivery speed, automation, and feedback loops, which were effective until they began to fail. As the stacks expanded into microservices and multi-cloud environments, the alert stream evolved into a firehose. While additional dashboards and stricter thresholds enabled teams to respond more quickly, they did not stop recurring problems or decrease the overall noise. The solution was not “more tools.” It was a playbook update. That update starts with the basics of clean data, consistent tagging, reliable telemetry, clear ownership, and real SLOs. Once the foundation is in place, apply AIOps where it excels.

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