Name: Cluster API To Streamline Kubernetes Clusters Lifecycle Management at NVIDIA - Megha Singhal & Gulshan Khatri, NVIDIA
Start: 2025-08-07T12:10:00+0530
End: 2025-08-07T12:40:00+0530

6-7 August
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Thursday August 7, 2025 12:10pm - 12:40pm IST

Hall 6

Teams independently provisioning and managing Kubernetes clusters often leads to silos, inefficiencies, and rising operational costs.

This presentation will showcase how NVIDIA successfully consolidated its Kubernetes infrastructure management using ClusterAPI and in-house bare-metal machines. The speakers will demonstrate NVIDIA's implementation that incorporates heterogeneous machine types, including CPU, GPU, TEGRA, and ARM, enabling high-performance workloads to run seamlessly.

By implementing a custom ClusterAPI infrastructure provider, NVIDIA made lifecycle management of Kubernetes clusters more efficient. The team enhanced ClusterAPI by wrapping its templates into Helm charts, standardizing cluster deployments across the organization. Through GitOps workflows, NVIDIA ensured cluster creation and management followed a declarative, version-controlled approach, reducing operational overhead while improving consistency in multi-environment deployments.

Speakers

Gulshan Khatri IN

SRE Lead, Nvidia

Gulshan is a SRE Lead at Nvidia. He started working with Kubernetes on small-scale clusters, scaling them to thousands of nodes over time. Today, he leads a team that provides Kubernetes as a Service.

Megha Singhal

Senior Site Reliability Engineer, Nvidia

Megha Singhal is a Senior SRE specializing in Kubernetes, automation, and cloud-native reliability, focused on scaling and optimizing resilient systems.

Thursday August 7, 2025 12:10pm - 12:40pm IST
Hall 6

Platform Engineering

Content Experience Level Intermediate

KubeCon + CloudNativeCon India 2025

Gulshan Khatri IN

Megha Singhal

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