Neha Aggarwal
Principal Software Engineering Manager at Microsoft
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Leading the team in Azure Networking for Cloud Native workloads and owns implementations of CNI (both Azure CNI and Cilium OSS Integrations), Network Policies, Network Observability in Azure Kubernetes Services. Team is actively involved in Open source community and holds Sig-chair/maintainers in Sig-network (CNI) and Sig-networkPolicies forums.
AI for Network Observability and Network Observability for AI: A Synergistic approach
The notion that Kubernetes networking observability is hard still applies today. Debugging networking issues often feels like solving an enormous, complex puzzle. We have plenty of observability tools generating heaps of data, but we lack the smart analyzers that scale with each new event added to the permutation. Enter AI powered Chatbots, the superheroes of debugging, untangling the most complex issues with ease.
Also, Kubernetes has leveled up from just being the cloud's OS to becoming the ultimate platform for AI workloads. Imagine seamlessly observing RDMA Network traffic, GPU usage, and InfiniBand metrics, and debugging any drops or latency issues faster than ever to ensure nothing slows you down.
In this talk, we’ll explore the dynamic duo of AI and Observability. Discover how an AI-powered chatbot can make your life a breeze, and also enhance RDMA network observability to detect latency/reliability issues effortlessly. Let's Dive into the future of smart observability!
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