warewulf
Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems. (by warewulf)
volcano
A Cloud Native Batch System (Project under CNCF) (by volcano-sh)
warewulf | volcano | |
---|---|---|
2 | 2 | |
200 | 3,776 | |
2.5% | 2.1% | |
9.6 | 9.2 | |
6 days ago | 4 days ago | |
Go | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
warewulf
Posts with mentions or reviews of warewulf.
We have used some of these posts to build our list of alternatives
and similar projects.
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A stateless and diskless container OS provisioning system for large clusters
Took the title from the github repo, since there wasn't much on the homepage that was as descriptive. https://github.com/warewulf/warewulf Posting because I'm looking into HPC systems for work, and this looks cool.
- going to replace our old cluster, which way xCat or Warewulf?
volcano
Posts with mentions or reviews of volcano.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-19.
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Can we specify nodeSelector inline for a kubectl command
Also, if you are creating bare pods, this sounds like batch scheduling and you should consider using Jobs instead, to have a pod controller. And then you could also consider the https://volcano.sh/ scheduler if it has a fitting scheduling plugin for your use case.
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My Journey With Spark On Kubernetes... In Python (1/3)
For our experiments, we will use Volcano which is a batch scheduler for Kubernetes, well-suited for scheduling Spark applications pods with a better efficiency than the default kube-scheduler. The main reason is that Volcano allows "group scheduling" or "gang scheduling": while the default scheduler of Kubernetes schedules containers one by one, Volcano ensures that a gang of related containers (here, the Spark driver and its executors) can be scheduled at the same time. If for any reason it is not possible to deploy all the containers in a gang, Volcano will not schedule that gang. This article explains in more detail the reasons for using Volcano.
What are some alternatives?
When comparing warewulf and volcano you can also consider the following projects:
singularity - Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
gokey - A simple vaultless password manager in Go
spark-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
argo - Workflow Engine for Kubernetes
liqo - Enable dynamic and seamless Kubernetes multi-cluster topologies
singularity-cri - The Singularity implementation of the Kubernetes Container Runtime Interface