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--- | ||
layout: blog | ||
title: "Spotlight on SIG Scheduling" | ||
slug: sig-scheduling-spotlight-2024 | ||
canonicalUrl: https://www.kubernetes.dev/blog/2024/09/24/sig-scheduling-spotlight-2024 | ||
date: 2024-09-24 | ||
author: "Arvind Parekh" | ||
--- | ||
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||
In this SIG Scheduling spotlight we talked with [Kensei Nakada](https://github.com/sanposhiho/), an | ||
approver in SIG Scheduling. | ||
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## Introductions | ||
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**Arvind:** **Hello, thank you for the opportunity to learn more about SIG Scheduling! Would you | ||
like to introduce yourself and tell us a bit about your role, and how you got involved with | ||
Kubernetes?** | ||
|
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**Kensei**: Hi, thanks for the opportunity! I’m Kensei Nakada | ||
([@sanposhiho](https://github.com/sanposhiho/)), a software engineer at | ||
[Tetrate.io](https://tetrate.io/). I have been contributing to Kubernetes in my free time for more | ||
than 3 years, and now I’m an approver of SIG-Scheduling in Kubernetes. Also, I’m a founder/owner of | ||
two SIG subprojects, | ||
[kube-scheduler-simulator](https://github.com/kubernetes-sigs/kube-scheduler-simulator) and | ||
[kube-scheduler-wasm-extension](https://github.com/kubernetes-sigs/kube-scheduler-wasm-extension). | ||
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## About SIG Scheduling | ||
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**AP: That's awesome! You've been involved with the project since a long time. Can you provide a | ||
brief overview of SIG Scheduling and explain its role within the Kubernetes ecosystem?** | ||
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**KN**: As the name implies, our responsibility is to enhance scheduling within | ||
Kubernetes. Specifically, we develop the components that determine which Node is the best place for | ||
each Pod. In Kubernetes, our main focus is on maintaining the | ||
[kube-scheduler](https://kubernetes.io/docs/concepts/scheduling-eviction/kube-scheduler/), along | ||
with other scheduling-related components as part of our SIG subprojects. | ||
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**AP: I see, got it! That makes me curious--what recent innovations or developments has SIG | ||
Scheduling introduced to Kubernetes scheduling?** | ||
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**KN**: From a feature perspective, there have been [several | ||
enhancements](https://kubernetes.io/blog/2023/04/17/fine-grained-pod-topology-spread-features-beta/) | ||
to `PodTopologySpread` recently. `PodTopologySpread` is a relatively new feature in the scheduler, | ||
and we are still in the process of gathering feedback and making improvements. | ||
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Most recently, we have been focusing on a new internal enhancement called | ||
[QueueingHint](https://github.com/kubernetes/enhancements/blob/master/keps/sig-scheduling/4247-queueinghint/README.md) | ||
which aims to enhance scheduling throughput. Throughput is one of our crucial metrics in | ||
scheduling. Traditionally, we have primarily focused on optimizing the latency of each scheduling | ||
cycle. QueueingHint takes a different approach, optimizing when to retry scheduling, thereby | ||
reducing the likelihood of wasting scheduling cycles. | ||
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**A: That sounds interesting! Are there any other interesting topics or projects you are currently | ||
working on within SIG Scheduling?** | ||
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**KN**: I’m leading the development of `QueueingHint` which I just shared. Given that it’s a big new | ||
challenge for us, we’ve been facing many unexpected challenges, especially around the scalability, | ||
and we’re trying to solve each of them to eventually enable it by default. | ||
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And also, I believe | ||
[kube-scheduler-wasm-extention](https://github.com/kubernetes-sigs/kube-scheduler-wasm-extension) | ||
(SIG sub project) that I started last year would be interesting to many people. Kubernetes has | ||
various extensions from many components. Traditionally, extensions are provided via webhooks | ||
([extender](https://github.com/kubernetes/design-proposals-archive/blob/main/scheduling/scheduler_extender.md) | ||
in the scheduler) or Go SDK ([Scheduling | ||
Framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/) in the | ||
scheduler). However, these come with drawbacks - performance issues with webhooks and the need to | ||
rebuild and replace schedulers with Go SDK, posing difficulties for those seeking to extend the | ||
scheduler but lacking familiarity with it. The project is trying to introduce a new solution to | ||
this general challenge - a [WebAssembly](https://webassembly.org/) based extension. Wasm allows | ||
users to build plugins easily, without worrying about recompiling or replacing their scheduler, and | ||
sidestepping performance concerns. | ||
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Through this project, sig-scheduling has been learning valuable insights about WebAssembly's | ||
interaction with large Kubernetes objects. And I believe the experience that we’re gaining should be | ||
useful broadly within the community, beyond sig-scheduling. | ||
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**A: Definitely! Now, there are currently 8 subprojects inside SIG Scheduling. Would you like to | ||
talk about them? Are there some interesting contributions by those teams you want to highlight?** | ||
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**KN**: Let me pick up three sub projects; Kueue, KWOK and descheduler. | ||
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[Kueue](https://github.com/kubernetes-sigs/kueue): | ||
: Recently, many people have been trying to manage batch workloads with Kubernetes, and in 2022, | ||
Kubernetes community founded | ||
[WG-Batch](https://github.com/kubernetes/community/blob/master/wg-batch/README.md) for better | ||
support for such batch workloads in Kubernetes. [Kueue](https://github.com/kubernetes-sigs/kueue) | ||
is a project that takes a crucial role for it. It’s a job queueing controller, deciding when a job | ||
should wait, when a job should be admitted to start, and when a job should be preempted. Kueue aims | ||
to be installed on a vanilla Kubernetes cluster while cooperating with existing matured controllers | ||
(scheduler, cluster-autoscaler, kube-controller-manager, etc). | ||
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[KWOK](https://github.com/kubernetes-sigs/kwok): | ||
: KWOK is a component in which you can create a cluster of thousands of Nodes in seconds. It’s | ||
mostly useful for simulation/testing as a lightweight cluster, and actually another SIG sub | ||
project [kube-scheduler-simulator](https://github.com/kubernetes-sigs/kube-scheduler-simulator) | ||
uses KWOK background. | ||
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[descheduler](https://github.com/kubernetes-sigs/descheduler): | ||
: Descheduler is a component recreating pods that are running on undesired Nodes. In Kubernetes, | ||
scheduling constraints (`PodAffinity`, `NodeAffinity`, `PodTopologySpread`, etc) are honored only at | ||
Pod schedule, but it’s not guaranteed that the contrtaints are kept being satisfied afterwards. | ||
Descheduler evicts Pods violating their scheduling constraints (or other undesired conditions) so | ||
that they’re recreated and rescheduled. | ||
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[Descheduling Framework](https://github.com/kubernetes-sigs/descheduler/blob/master/keps/753-descheduling-framework/README.md). | ||
: One very interesting on-going project, similar to [Scheduling | ||
Framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/) in the | ||
scheduler, aiming to make descheduling logic extensible and allow maintainers to focus on building | ||
a core engine of descheduler. | ||
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**AP: Thank you for letting us know! And I have to ask, what are some of your favorite things about | ||
this SIG?** | ||
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**KN**: What I really like about this SIG is how actively engaged everyone is. We come from various | ||
companies and industries, bringing diverse perspectives to the table. Instead of these differences | ||
causing division, they actually generate a wealth of opinions. Each view is respected, and this | ||
makes our discussions both rich and productive. | ||
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I really appreciate this collaborative atmosphere, and I believe it has been key to continuously | ||
improving our components over the years. | ||
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## Contributing to SIG Scheduling | ||
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**AP: Kubernetes is a community-driven project. Any recommendations for new contributors or | ||
beginners looking to get involved and contribute to SIG scheduling? Where should they start?** | ||
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**KN**: Let me start with a general recommendation for contributing to any SIG: a common approach is | ||
to look for | ||
[good-first-issue](https://github.com/kubernetes/kubernetes/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22). | ||
However, you'll soon realize that many people worldwide are trying to contribute to the Kubernetes | ||
repository. | ||
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I suggest starting by examining the implementation of a component that interests you. If you have | ||
any questions about it, ask in the corresponding Slack channel (e.g., #sig-scheduling for the | ||
scheduler, #sig-node for kubelet, etc). Once you have a rough understanding of the implementation, | ||
look at issues within the SIG (e.g., | ||
[sig-scheduling](https://github.com/kubernetes/kubernetes/issues?q=is%3Aopen+is%3Aissue+label%3Asig%2Fscheduling)), | ||
where you'll find more unassigned issues compared to good-first-issue ones. You may also want to | ||
filter issues with the | ||
[kind/cleanup](https://github.com/kubernetes/kubernetes/issues?q=is%3Aopen+is%3Aissue++label%3Akind%2Fcleanup+) | ||
label, which often indicates lower-priority tasks and can be starting points. | ||
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Specifically for SIG Scheduling, you should first understand the [Scheduling | ||
Framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/), which is | ||
the fundamental architecture of kube-scheduler. Most of the implementation is found in | ||
[pkg/scheduler](https://github.com/kubernetes/kubernetes/tree/master/pkg/scheduler). I suggest | ||
starting with | ||
[ScheduleOne](https://github.com/kubernetes/kubernetes/blob/0590bb1ac495ae8af2a573f879408e48800da2c5/pkg/scheduler/schedule_one.go#L66) | ||
function and then exploring deeper from there. | ||
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Additionally, apart from the main kubernetes/kubernetes repository, consider looking into | ||
sub-projects. These typically have fewer maintainers and offer more opportunities to make a | ||
significant impact. Despite being called "sub" projects, many have a large number of users and a | ||
considerable impact on the community. | ||
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And last but not least, remember contributing to the community isn’t just about code. While I | ||
talked a lot about the implementation contribution, there are many ways to contribute, and each one | ||
is valuable. One comment to an issue, one feedback to an existing feature, one review comment in PR, | ||
one clarification on the documentation; every small contribution helps drive the Kubernetes | ||
ecosystem forward. | ||
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**AP: Those are some pretty useful tips! And if I may ask, how do you assist new contributors in | ||
getting started, and what skills are contributors likely to learn by participating in SIG | ||
Scheduling?** | ||
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**KN**: Our maintainers are available to answer your questions in the #sig-scheduling Slack | ||
channel. By participating, you'll gain a deeper understanding of Kubernetes scheduling and have the | ||
opportunity to collaborate and network with maintainers from diverse backgrounds. You'll learn not | ||
just how to write code, but also how to maintain a large project, design and discuss new features, | ||
address bugs, and much more. | ||
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## Future Directions | ||
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**AP: What are some Kubernetes-specific challenges in terms of scheduling? Are there any particular | ||
pain points?** | ||
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**KN**: Scheduling in Kubernetes can be quite challenging because of the diverse needs of different | ||
organizations with different business requirements. Supporting all possible use cases in | ||
kube-scheduler is impossible. Therefore, extensibility is a key focus for us. A few years ago, we | ||
rearchitected kube-scheduler with [Scheduling | ||
Framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/), which | ||
offers flexible extensibility for users to implement various scheduling needs through plugins. This | ||
allows maintainers to focus on the core scheduling features and the framework runtime. | ||
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Another major issue is maintaining sufficient scheduling throughput. Typically, a Kubernetes cluster | ||
has only one kube-scheduler, so its throughput directly affects the overall scheduling scalability | ||
and, consequently, the cluster's scalability. Although we have an internal performance test | ||
([scheduler_perf](https://github.com/kubernetes/kubernetes/tree/master/test/integration/scheduler_perf)), | ||
unfortunately, we sometimes overlook performance degradation in less common scenarios. It’s | ||
difficult as even small changes, which look irrelevant to performance, can lead to degradation. | ||
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**AP: What are some upcoming goals or initiatives for SIG Scheduling? How do you envision the SIG evolving in the future?** | ||
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**KN**: Our primary goal is always to build and maintain _extensible_ and _stable_ scheduling | ||
runtime, and I bet this goal will remain unchanged forever. | ||
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As already mentioned, extensibility is key to solving the challenge of the diverse needs of | ||
scheduling. Rather than trying to support every different use case directly in kube-scheduler, we | ||
will continue to focus on enhancing extensibility so that it can accommodate various use | ||
cases. [kube-scheduler-wasm-extention](https://github.com/kubernetes-sigs/kube-scheduler-wasm-extension) | ||
that I mentioned is also part of this initiative. | ||
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Regarding stability, introducing new optimizations like QueueHint is one of our | ||
strategies. Additionally, maintaining throughput is also a crucial goal towards the future. We’re | ||
planning to enhance our throughput monitoring | ||
([ref](https://github.com/kubernetes/kubernetes/issues/124774)), so that we can notice degradation | ||
as much as possible on our own before releasing. But, realistically, we can't cover every possible | ||
scenario. We highly appreciate any attention the community can give to scheduling throughput and | ||
encourage feedback and alerts regarding performance issues! | ||
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## Closing Remarks | ||
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**AP: Finally, what message would you like to convey to those who are interested in learning more | ||
about SIG Scheduling?** | ||
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**KN**: Scheduling is one of the most complicated areas in Kubernetes, and you may find it difficult | ||
at first. But, as I shared earlier, you can find many opportunities for contributions, and many | ||
maintainers are willing to help you understand things. We know your unique perspective and skills | ||
are what makes our open source so powerful :) | ||
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Feel free to reach out to us in Slack | ||
([#sig-scheduling](https://kubernetes.slack.com/archives/C09TP78DV)) or | ||
[meetings](https://github.com/kubernetes/community/blob/master/sig-scheduling/README.md#meetings). | ||
I hope this article interests everyone and we can see new contributors! | ||
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**AP: Thank you so much for taking the time to do this! I'm confident that many will find this | ||
information invaluable for understanding more about SIG Scheduling and for contributing to the SIG.** |