Cloud Native Chennai - Jun 2024 Meetup

Name: Cloud Native Chennai - Jun 2024 Meetup
Start: 2024-06-08T09:30:00+05:30
End: 2024-06-08T14:00:00+05:30
Location: Cloudera India

Chennai

Jun 8, 4:00 – 8:30 AM

In-person event

About this event

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*** Read event details completely.
*** Registration is closed for this event
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Join us for an in-person event to learn about Cloud Native projects and concepts.
You will also have the opportunity to network with your peers, exchange best practices, and learn from real-world use cases. Whether you are just starting your cloud journey or you are already using Cloud Native, this event is a must-attend for anyone interested in unlocking the power of Cloud Native.

Venue: Cloudera India
Venue address: Cloudera India, 4th Floor, Crest, Ascendas, CSIR Rd, Tharamani, Chennai, Tamil Nadu 600113
Venue map: https://maps.app.goo.gl/vnAYvgausYVfBVKr9 
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*** Archive ***
*** Meetup# 21

Speakers

Keshaw Kumar

Cloudera

Senior Software Engineer

Vani Prakash Gupta

Cloudera

Software Engineer II

Lakshmi Narasimhan

Independent consultant

Manikandan Krishnamurthy

TCS

GCP Architect

When

Saturday, June 8, 2024
4:00 AM – 8:30 AM UTC

Where

Cloudera India
4th Floor, Crest, Ascendas, CSIR Rd, Tharamani, Chennai, Tamil Nadu 600113
Chennai, 600113

Agenda

Event registration, Networking, Welcome note
Supercharging Spark Workloads using GPU in a Shared Kubernetes Cluster with Yunicorn	Speaker: Keshaw Kumar & Vani Prakash Gupta \| Description: Discover how to maximize Spark workloads using GPU acceleration in Kubernetes.
Break
Integrating Machine Learning Workloads with Kubernetes	Speaker: Lakshmi Narasimhan \| Description: As machine learning continues to revolutionize various industries, the need for robust and scalable infrastructure to support these workloads becomes critical. Kubernetes has emerged as a powerful solution for deploying, scaling, and managing machine learning models in production. This talk will delve into the intricacies of integrating machine learning workflows with Kubernetes. We will explore how Kubernetes can streamline the deployment process, enhance scalability, and provide a resilient environment for machine learning tasks. Key topics will include setting up a Kubernetes cluster for ML, leveraging tools like Kubeflow for workflow orchestration, managing resources efficiently, and best practices for monitoring and maintaining ML applications in a Kubernetes ecosystem.
Build with Gemma	Speaker: Manikandan Krishnamurthy
Feedback and Closure
Lunch & Networking