arena
A CLI for Kubeflow. (by kubeflow)
scheduler-plugins
Repository for out-of-tree scheduler plugins based on scheduler framework. (by kubernetes-sigs)
| arena | scheduler-plugins | |
|---|---|---|
| 1 | 2 | |
| 709 | 1,019 | |
| 1.8% | 2.6% | |
| 8.3 | 8.6 | |
| 5 days ago | 6 days ago | |
| Go | Go | |
| Apache License 2.0 | 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.
arena
Posts with mentions or reviews of arena.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-03.
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Volcano vs Yunikorn vs Knative
tldr; you should start with KubeFlow 99% of the time. The respective job scheduling workflows (including volano) can be managed with Kubeflow Arena. Vulcano is ok, but I personally prefer Nvidia's Merlin + Triton inference on top of ONNX and MS ONNX Runtime. I do like to train with GPU's on Merlin in GKE (TabularNV and HugeCTR's tbe), and run TFKeras ReLu models on CPU's with OpenVino on AWS EKS, to optimize costs a bit. I do use Kubeflow on top of TektonCD for OpenShift, while some folks do prefer Argo Workflows and Apache Airflow, in the end - it's all DAG pipelines, so doesn't really matter.
scheduler-plugins
Posts with mentions or reviews of scheduler-plugins.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-03.
-
Volcano vs Yunikorn vs Knative
tldr; Knative Batch Job provider should support the respective coscheduling and kube-batch support. We had developed an in-house one for KubeFlow, from scratch. We had added Apache Arrow support into knative-serving with the respective CloudEvents interop layer, natively (i.e. secure shmem via IPC namespace, instead of message passing on the same host). We use it as a direct replacement for Apache Arrow Ballista, and had planned researching further DataFusion compat layer. Almost any modern ETL is pretty dubious without Apache Arrow.
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Schedule on Least Utilized Node
I also looked into the scheduler plugin NodeResourcesAllocatable with the „Least“ option. This seems to be the solution to our problem, but I don‘t get how this can be applied. Our cluster is running on in-house nodes, however it is managed via Mirantis, so I don‘t know whether we could actually apply scheduler configurations.
What are some alternatives?
When comparing arena and scheduler-plugins you can also consider the following projects:
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
descheduler - Descheduler for Kubernetes
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
descheduler - Descheduler for Kubernetes [Moved to: https://github.com/kubernetes-sigs/descheduler]
kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
cromwell - Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments