Add blog post on AKS Configurable Scheduler Profiles#5505
Add blog post on AKS Configurable Scheduler Profiles#5505colinmixonn wants to merge 165 commits intomasterfrom
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This blog post introduces AKS Configurable Scheduler Profiles, highlighting their benefits for optimizing resource utilization and improving scheduling strategies for web-distributed and AI workloads. It covers configuration examples for GPU utilization, pod distribution across topology domains, and memory-optimized scheduling.
Added a new tag for Scheduler with relevant details.
Updated blog post on AKS Configurable Scheduler Profiles to improve clarity and correctness, including sections on GPU utilization, pod distribution, and memory-optimized scheduling.
Corrected typos and improved clarity in the blog post about AKS Configurable Scheduler Profiles.
Updated the blog to clarify the objectives of configuring AKS Configurable Scheduler Profiles, improved section titles, and ensured consistency in terminology.
Clarified the objectives and improved the wording in the blog post about AKS Configurable Scheduler Profiles.
website/blog/2025-12-16-aks-config-scheduler-profiles-preview/index.md
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Pull request overview
This pull request adds a new blog post announcing the preview of AKS Configurable Scheduler Profiles, a feature that enables fine-grained control over pod scheduling strategies to optimize resource utilization and improve workload performance.
Key Changes
- Introduces a new "scheduler" tag to categorize blog posts related to pod placement and scheduling optimization
- Adds comprehensive blog post covering three main scheduling use cases: GPU bin-packing for AI workloads, pod distribution across topology domains for resilience, and memory-optimized scheduling with PVC-aware placement
- Provides YAML configuration examples and best practices for implementing custom scheduler profiles
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 20 comments.
| File | Description |
|---|---|
| website/blog/tags.yml | Adds new "scheduler" tag for categorizing posts about pod placement and scheduling techniques |
| website/blog/2025-12-16-aks-config-scheduler-profiles-preview/index.md | New blog post introducing AKS Configurable Scheduler Profiles with configuration examples for GPU utilization, topology distribution, and memory-optimized scheduling |
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…index.md Co-authored-by: Diego Casati <diego.casati@gmail.com>
…index.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…index.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…index.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
…index.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
sabbour
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Good post, solid feature coverage and the YAML examples are really practical. Two things need a pass before we publish: the draft talks about "customers," "users," and "operators" instead of talking directly to the reader ("you"), and there are a few phrases we don't use ("deep dive," "it is critical to note that," "The key takeaway is," "leveraging"). Inline comments have the specifics.
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Co-authored-by: Ahmed Sabbour <103856+sabbour@users.noreply.github.com>
Clarified the explanation of the MostAllocated scheduling strategy and its interaction with other plugins, emphasizing its role in maximizing GPU utilization and reducing idle capacity.
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Clarified the benefits and functionality of Configurable Scheduler Profiles on AKS, emphasizing the use of a Custom Resource Definition (CRD) and the role of the dedicated controller in maintaining cluster stability.
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Revised content for clarity and improved flow regarding Kubernetes resource utilization and scheduling strategies.
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Updated descriptions and explanations for configurable scheduler profiles and GPU utilization strategies in AKS documentation.
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| A profile is a set of one or more in-tree scheduling plugins and configurations that dictate how to schedule a pod. AKS supports 18 in-tree Kubernetes [scheduling plugins][supported-in-tree-scheduling-plugins]. | ||
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| ## Increase node utilization and operator control |
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Increase node utilization and operator control -> Use case A: Increase node utilization and operator control
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i added a callout to the multiple scheduler use cases in the last part of this section
| | Configurable Scheduler Profile | NodeResourcesFit: MostAllocated | Maximize consolidation / bin‑packing | Maximum node utilization, highest cost reduction potential | | ||
| | Configurable Scheduler Profile | NodeResourcesFit: RequestedToCapacityRatio | Targeted utilization with headroom | ✅ **Recommended strategy** Increased utilization with stronger control over consolidation and burst headroom than `MostAllocated` | | ||
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| ### Increase AKS CPU utilization |
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this is and increasing gpu utilization examples aren't "use cases"; they are different implementations of one "use case" using two different resources.
I understand what you are thinking but I don't think it is required
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| ### Increase AKS GPU utilization |
Clarified the limitations of the default Kubernetes scheduler and detailed the functionality of Configurable Scheduler Profiles on AKS. Updated the description of how the scheduling behavior can be adjusted for better resource utilization.
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This blog post introduces AKS Configurable Scheduler Profiles, highlighting their benefits for optimizing resource utilization and improving scheduling strategies for web-distributed and AI workloads. It covers configuration examples for GPU and CPU utilization.