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Integrating Ray.io into the Google Cloud Ecosystem for Enterprise - Best Practices and Enhancements

Offered By: Anyscale via YouTube

Tags

Machine Learning Courses Google Cloud Platform (GCP) Courses Google Kubernetes Engine (GKE) Courses Scalability Courses Distributed Computing Courses Anyscale Courses

Course Description

Overview

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Explore the integration of Ray.io, an open-source distributed computing framework, into the Google Cloud ecosystem for enterprise-level applications in this 28-minute conference talk by Anyscale. Learn about ten best practices for adapting open-source software to meet stringent enterprise requirements, focusing on security, networking, and scalability. Discover how to enhance Ray.io's capabilities for enterprise computing by integrating it with Google Kubernetes Engine (GKE) to improve reliability and performance. Gain insights into optimizing Ray.io for demanding enterprise environments, particularly for AI and machine learning workloads. Delve into the process of creating robust and scalable solutions that meet the complex needs of enterprise-level computing using Ray.io within the Google Cloud ecosystem.

Syllabus

Integrating Ray.io into the Google Cloud Ecosystem for the Enterprise


Taught by

Anyscale

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