Soperator: deployment, test, GA4GH TES/WES adoption

[pavelnikonorov]

Description
Soperator is an open-source Kubernetes operator developed to integrate and manage Slurm workloads within Kubernetes clusters. It provides a unified interface that leverages the scalability and orchestration capabilities of Kubernetes while utilising the scheduling efficiency of Slurm, making it ideal for high-performance computing (HPC) and computational workflows. Soperator bridges the gap between Kubernetes and Slurm, providing an efficient solution for users who need the scalability of Kubernetes combined with the resource management capabilities of Slurm.

Motivation
The motivation behind this project is to explore how Soperator combines the strengths of both Kubernetes and Slurm systems for efficient workload management.

Goal:

• Deploy and test Soperator on a 2-3 node cluster
• Investigate possibilities for GA4GH Workflow Execution Service (WES) and GA4GH Task Execution Service (TES) adoption within the Soperator environment

Resources:

• Soperator GitHub repostirory
• Explaining Soperator, Nebius’ open-source Kubernetes operator for Slurm