Aryaman Jain
SDE at Microsoft
Hyderābād, India
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Aryaman Jain is a Software Development Engineer at Microsoft, specializing in Kubernetes infrastructure, reliability, and large-scale data deployments. He has designed proactive monitoring solutions, built health models with liveness probes, and optimized peer-to-peer data distribution. With expertise in security, automation, and scalable infra, he focuses on making deployments efficient, predictable, and resilient.
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Data Deployments, Zero Downtime: How We Made Large-Scale Updates Boring
Keeping services online while updating large datasets is a nightmare—teams often rely on manual syncs, brittle scripts, or downtime-heavy processes. But what if updating 100's of Gigabytes of data in Kubernetes could be seamless, peer-driven, and disruption-free?
In this talk, Aryaman Jain, Software Engineer at Microsoft, shares how his team transformed data deployments by leveraging peer-to-peer downloads and intelligent preloading on nodes. Instead of treating data updates as an afterthought, they developed a zero-downtime approach that ensures services always have the right dataset—without waiting for slow blob storage fetches.
The session will dive into real-world lessons from running this system across 50+ Kubernetes clusters per region, handling high-performance AI and analytics workloads.
If you've ever had a dataset update cripple performance or want to make data deployments boring, efficient, and resilient, this talk is for you.
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