YoVDO

PyKubeSlurm - A Python Operator for Efficient Job Scheduling in Slurm Using Kubernetes

Offered By: Ubuntu OnAir via YouTube

Tags

Kubernetes Courses DevOps Courses Python Courses Cloud Computing Courses Containerization Courses Slurm Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 16-minute conference talk from Ubuntu Summit 2023 that introduces PyKubeSlurm, a Python package designed to simplify job scheduling in Kubernetes. Learn how this operator, built on top of Kopf, addresses the challenges engineers face when managing complex job scheduling tasks. Discover how PyKubeSlurm can streamline your workflow, reduce the learning curve, and improve efficiency in Kubernetes environments. Gain insights into the integration of Slurm workload manager with Kubernetes, and understand how this solution can benefit your development and deployment processes.

Syllabus

PyKubeSlurm: A Python Operator for Efficient Job Scheduling in Slurm using Kubernetes


Taught by

Ubuntu OnAir

Related Courses

Linux for Scientific Computing Masterclass - 10.5 Hours
Udemy
Reduce Time to Market and Capital Spend Using Software Operators in HPC
Ubuntu OnAir via YouTube
HPC with Containers on Ubuntu - Enroot and Pyxis Implementation
Ubuntu OnAir via YouTube
Running Plain Kubernetes Pods on SLURM - April 17, 2024
CNCF [Cloud Native Computing Foundation] via YouTube
Breaking Boundaries - TACC as a Unified Cloud-Native Infrastructure for AI and HPC
CNCF [Cloud Native Computing Foundation] via YouTube