KubeCon + CloudNativeCon India 2026: Full Schedule

18-19 June
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12:00pm IST

Inference in Progress… Please Monitor Responsibly - Gaurav Sharma, NVIDIA

Friday June 19, 2026 12:00pm - 12:30pm IST

Lotus 3 (Level 3)

Running GPU inference on Kubernetes is no longer exotic — it’s becoming the default for modern AI workloads. But while teams obsess over model latency and throughput, the real problems usually hide deeper: GPU under-utilization, memory fragmentation, node-level contention, noisy neighbour, and observability gaps that make debugging feel like guesswork.
In this talk, we’ll walk through a practical, field-tested monitoring approach for GPU inference workloads on Kubernetes. Attendees will learn how to instrument GPU nodes, collect and correlate GPU-specific metrics, build alerting around inference SLOs, and detect performance regressions before they disrupt production. We’ll also cover common anti-patterns and what “good” looks like for GPU observability in 2025.
If you're running (or planning to run) GPU inference at scale, this session will help you monitor responsibly — and keep your cluster healthy, efficient, and fast.

Speakers

Gaurav Sharma

Senior Site Reliability Engineer, Nvidia

Currently working as Senior SRE for Nvidia AI.
In the past I have been part of SRE teams for Nvidia cloud gaming, Microsoft Azure Reliability, Adobe Analytics & VMware Cloud Services.

Friday June 19, 2026 12:00pm - 12:30pm IST
Lotus 3 (Level 3)

Observability

Content Experience Level Beginner

12:40pm IST

Patients as Time-Series: High-Stakes Clinical Alerting With OpenSearch & K8s - Seema Saharan, Autodesk & Aakanksha Saharan, Independent

Friday June 19, 2026 12:40pm - 1:10pm IST

Lotus 3 (Level 3)

Patients aren’t static records; they are evolving systems. Neurology makes this clear, but the technical lesson applies to any domain where "normal" changes over time. This session treats longitudinal data as time-series to reshape search, relevance, and alerting in OpenSearch.

We move beyond "snapshot" queries to focus on evidence drift and trajectories via three pillars:

Longitudinal Indexing: Strategies for time-dependent data to support trend-based retrieval.

Detecting Trajectory Drift: Using OpenSearch Anomaly Detection to identify when patterns deviate from expected ranges.

Probabilistic Alerting: Moving from hard thresholds to uncertainty-aware alerts factoring in clinical noise and data gaps.

Attendees will learn to build systems that reason over time and trends rather than isolated documents—a blueprint for healthcare, AIOps, and beyond. This session bridges OpenSearch with the CNCF ecosystem (Kubernetes/OpenTelemetry) for mission-critical workloads.

Speakers

Seema Saharan

Senior Site Reliability Engineer, Autodesk

Meet Seema, the tech whiz at Autodesk. She's not just about fixing things – she loves sharing what she knows! Whether speaking at cool events like GitLab Commit, and GitHub Universe or breaking down tech on her YouTube channel, Seema makes the complicated stuff easy and fun. Join... Read More →

Aakanksha Saharan

Student, Independent

Aakanksha is a med student with a strong interest in the intersection of tech and medicine and its potential to drive innovation in healthcare. She is a co-founder of Curaximo, where she explores tech-driven approaches to medicine. She has volunteered with multiple medical organizations... Read More →

Friday June 19, 2026 12:40pm - 1:10pm IST
Lotus 3 (Level 3)