Webinar
Getting started with Anyscale concepts, code, and clusters
Tuesday, March 1 8 AM PSTIn this webinar, the Anyscale solutions team will guide you through the steps of taking your Python workloads to the cloud. Previous knowledge of Ray is helpful but not required as we demonstrate the concepts behind running distributed loads in the cloud, and how to interact with Ray and Anyscale in your Python code.
Learn about what it takes to run at scale whether you:
Need help distributing Python
Want to supercharge a Jupyter notebook
Have machine learning (ML) processes that you want to operationalize
LinkMaterials & Resources
LinkSlides and Github demo
LinkWebinar Q&A
LinkDocs for Ray (look here for coding info)
LinkDocs for Anyscale (look here for runtime configuration info)
LinkIntro to Anyscale blog
LinkCustomer video Ricardo (minute 20)
LinkMore Anyscale educational events
Speakers
Charles Greer
Solutions Architect, Anyscale
Charles has been building distributed solutions for about twenty years. With a storied background in databases, data engineering, and enterprise architecture, he joined Anyscale to further his passion for helping organizations solve tough computational and operational problems. Charles has trained hundreds of students in database design and distributed software engineering, and is keen to learn from you and show how Ray can put massive computation in your hands today.
Javier Redondo
Product Manager, Anyscale
Javier works as a product manager at Anyscale focusing on Anyscale's managed Ray SaaS offering. Prior to joining Anyscale, Javier worked at Confluent, Klarna and McKinsey.