Comments (8)
hi! im very interested on this issue, and i just aplied the lfx now, im the karmada reviewer now, u can take a look about my github page~
from volcano.
Hey @Monokaix I would love to work on this ! I have previous experience working with Karmada. Would love to take it as a challenge , looking forward to it.
Hi, thanks for your enthusiasm! Sorry that I didn't mention it's a CNCF LFX project, and you can apply for this project here : )
from volcano.
Repo is here: https://github.com/volcano-sh/federation
from volcano.
Repo is here: https://github.com/volcano-sh/federation
We should keep working on this: )
from volcano.
Hey @Monokaix I would love to work on this ! I have previous experience working with Karmada. Would love to take it as a challenge , looking forward to it.
from volcano.
Hey @Monokaix,
I just noticed that this project is a CNCF LFX project, and I am thrilled to work on this.
Having worked extensively on multi-cluster scheduling and AI, I bring valuable industrial experience to the table. I have experience building scalable cloud-native and AI applications, ranging from traditional deep learning models to cutting-edge Federated Learning models deployed in production environments using frameworks like flower, FedML and PySyft
I also have hands-on experience with Karmada and would love to explore more and do valuable contribution.
By getting this opportunity I would like to leverage my Multi-cloud, multi-cluster and AI skillset under the guidance of the establised engineers at Volcano.
from volcano.
Hey @Monokaix,
I just noticed that this project is a CNCF LFX project, and I am thrilled to work on this.
Having worked extensively on multi-cluster scheduling and AI, I bring valuable industrial experience to the table. I have experience building scalable cloud-native and AI applications, ranging from traditional deep learning models to cutting-edge Federated Learning models deployed in production environments using frameworks like flower, FedML and PySyft
I also have hands-on experience with Karmada and would love to explore more and do valuable contribution.
By getting this opportunity I would like to leverage my Multi-cloud, multi-cluster and AI skillset under the guidance of the establised engineers at Volcano.
Welcome! And you can apply here.
from volcano.
Hi @Monokaix,
I just applied to the CNCF LFX Mentorship program for this project. I am very interested in this project and would love to contribute to it. Is there any advice you have for me to get to understand the codebase and start with the good-first-issue issues?
from volcano.
Related Issues (20)
- when using spark with volcano ,queue allocated exceeds capability HOT 13
- 如何查看正在pending的vcjob的优先级顺序,比如有A,B,C三个任务正在pending,怎么看哪个任务优先级最高会先被调度 HOT 1
- Occasionally Failed E2E Test Cases for Claim
- In the rolling upgrade scenario of multiple deployments, there is a possibility that the corresponding pod group is not created for ReplicaSet. HOT 2
- upgrade kube-state-metrics version to v1.9.8/v2.12.0 from v1.9.7 HOT 3
- volcano 案例demo无法调度 HOT 5
- Preemption between the jobs in the same queue is not work well when enable gang plugin HOT 7
- grafana监控无法显示Dashboard大部分指标 HOT 7
- Optimize the --version command HOT 1
- reschedule not work HOT 4
- --node-selector config doesn't consider for csinode HOT 2
- Support Hierarchical Queue on Capacity Plugin
- Adjustment of Initialization for Volcano Controllers Module HOT 5
- Why isn't there a job level preemption when gang and priority is enabled HOT 1
- Enable OpenSSF Scorecard to enhance security practices across the project HOT 1
- The volcano controller may have memory leak issues in large-scale clusters HOT 4
- Pod are repeatedly created and deleted
- Garbage Collector is supposed to clean up Aborted volcanojobs HOT 17
- volcano vgpu metrics not update properly HOT 8
- MPI Job in Volcano gets Terminated HOT 4
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from volcano.