Cloud Native Optimized Unified Scheduler and Big Data Analysis Engine

Name: Cloud Native Optimized Unified Scheduler and Big Data Analysis Engine
Start: 2024-07-25T16:00:00-07:00
End: 2024-07-25T19:00:00-07:00

Hosted By

ByteDance Open S.

Cloud Native Optimized Unified Scheduler and Big Data Analysis Engine

Details

Join us at the Middleware.io Office in San Francisco for a fun Technology event focusing on solving Cloud Native Scheduling and Data Ware House problems from the real world. Whether you are a beginner or an experienced developer, this event will cover essential topics such as scalability, optimal resource utilisation in cloud and compute storage separation in storage. Our experienced speakers will share insights on the latest trends and tools in the industry, equipping you with the knowledge to enhance your cloud native skills.

This workshop is open to anyone interested in advancing their knowledge of web development, including students, professionals, and enthusiasts. Network with like-minded individuals, learn from industry experts, and take your cloud native projects to the next level. Don't miss this opportunity to discover new techniques and strategies for creating exceptional websites and applications.

Agenda:

4:00-4:15 - Check in and registrations
4:15-4:25 - Introductions- Bytedance OSPO and Innovator Program (Sujata Tibrewala / Bytedance)
4:25-5:10 - Gödel: Unified Open Source scheduler for online and offline workloads (Lintong Jiang / Bytedance & Yue Yin / Bytedance)
5:10-5:25 - ByConity Official Release announcement (Sujata Tibrewala, Kevin Fang/ Bytedance)
5:25-5:45 Break, Food
5:45-6:30 - Elevating Log Analysis: Rapid Issue Detection With Log Pattern Mining (Tejas Kokje, Middleware)
6:30 -7:00 - Raffles, Food and Networking

Demo: Gödel -Unified scheduler for online and offline workloads
Gödel Scheduler, developed by ByteDance, has been open-sourced as a unified system for managing online and offline workloads efficiently. Created to surpass the capabilities of Kubernetes' default scheduler, it enhances resource utilization, operational efficiency, and scheduling throughput. Key features include optimistic concurrency, a two-layer scheduling abstraction, and a robust dispatcher and binder system. Gödel Scheduler aims to improve cloud-native experiences and reduce operational burdens, catering to ByteDance’s extensive and diverse computing needs. For more details, visit CNCF blog.

Speakers: