Главная
Study mode:
on
1
Intro
2
Cloud Native for Intelligent Workload
3
Batch on K8s: Challenges
4
Volcano Overview
5
Key Concept
6
Job management
7
Resource management-Queue
8
Dynamic resource sharing between queues
9
Fair share within Queue
10
Case: hierarchical queue
11
Scheduling policy in Volcano
12
Scenario: Elastic scheduling
13
Scenario: Topology awareness
14
Scenario: SLA scheduling
15
Scenario: CPU Topology awareness
16
Scenario: batch scheduler for Spark
17
Scenario: Co-location and oversubscription
18
Scenario: Big scale cluster: 10k nodes, 1 million Pod
19
Use Case: Al platform at Xiaohongshu
20
Use Case: Batch at Ruitian investment
21
Community
22
Release
Description:
Explore a comprehensive introduction and deep dive into Volcano, a system for running high-performance workloads on Kubernetes, in this 32-minute conference talk by Klaus Ma from Huawei Cloud. Discover how Volcano addresses the challenges of batch scheduling in Kubernetes, providing powerful capabilities for ML/DL, big data applications, and Bioinformatics/Genomics. Learn about key concepts such as job management, resource management with queues, and dynamic resource sharing. Delve into various scheduling scenarios, including elastic scheduling, topology awareness, SLA scheduling, and CPU topology awareness. Gain insights into Volcano's application in batch scheduling for Spark, co-location and oversubscription, and its ability to handle large-scale clusters. Examine real-world use cases from Xiaohongshu's AI platform and Ruitian Investment's batch processing. Understand the project's community involvement and release cycle, equipping yourself with valuable knowledge for running high-performance workloads in Kubernetes environments. Read more

Volcano: Introduction and Deep Dive into High-Performance Workload Management on Kubernetes

CNCF [Cloud Native Computing Foundation]
Add to list
0:00 / 0:00