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chore(blog): a bit of tag and markdown housekeeping #5477

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9e37cdd
chore(blog): a bit of tag and markdown housekeeping
pauldotyu Dec 2, 2025
efcf6b6
fix: clarify truncation marker instructions in blog guidelines
pauldotyu Dec 2, 2025
e2694f5
Update website/blog/tags.yml
pauldotyu Dec 2, 2025
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4 changes: 2 additions & 2 deletions .github/instructions/website.blog.instructions.md
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Expand Up @@ -64,7 +64,7 @@ tags: [...]

### Critical Elements

1. **Truncation marker**: `<!-- truncate -->` after 2-3 intro paragraphs (shows on listing page)
1. **Truncation marker**: `<!-- truncate -->` after opening paragraph (shows on listing page)
2. **Hero image**: Use `./hero-image.png` for same-directory assets
3. **Heading hierarchy**: H2 (`##`) for major sections, H3 (`###`) for subsections
4. **Alt text**: All images MUST have descriptive alt text
Expand Down Expand Up @@ -264,7 +264,7 @@ Before submitting a blog post:

- [ ] Content follows the Microsoft Style Guide
- [ ] Front matter complete and validated
- [ ] `<!-- truncate -->` after intro (2-3 paragraphs)
- [ ] `<!-- truncate -->` after intro paragraph
- [ ] All images have descriptive alt text
- [ ] All code blocks have language specified
- [ ] All links use descriptive text (no "click here")
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4 changes: 3 additions & 1 deletion website/blog/2025-10-24-dynamo-on-aks/index.md
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Expand Up @@ -7,7 +7,7 @@ authors:
- sachi-desai
- sertac-ozercan
- rita-zhang
tags: ["ai", "gpu", "oss", "GB200"]
tags: ["ai", "gpu", "open-source", "nvidia"]
---

*This blog post is co-authored with
Expand All @@ -19,6 +19,8 @@ to showcase solutions
that help customers run AI inference at scale using Azure Kubernetes Service
(AKS) and NVIDIA’s advanced hardware and distributed inference frameworks.*

<!-- truncate -->

Modern language models now routinely exceed the compute and memory capacity of
a single GPU or even a whole node with multiple GPUs on Kubernetes.
Consequently, inference at the
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4 changes: 2 additions & 2 deletions website/blog/2025-11-18-azure-linux-gpu-on-aks/index.md
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Expand Up @@ -10,10 +10,10 @@ tags:
- monitoring
---

### Introduction

Running GPU workloads on AKS enables scalable, automated data processing and AI applications across Windows, Ubuntu, or Azure Linux nodes. [Azure Linux](https://learn.microsoft.com/azure/aks/use-azure-linux), Microsoft’s minimal and secure OS, simplifies GPU setup with validated drivers and seamless integration, reducing operational efforts. This blog covers how AKS supports GPU nodes on various OS platforms and highlights the security and performance benefits of Azure Linux for GPU workloads.

<!-- truncate -->

### Unique challenges of GPU nodes

Deploying a GPU workload isn’t just about picking the right VM size. There is also significant operational overhead that developers and platform engineers need to manage.
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7 changes: 3 additions & 4 deletions website/blog/2025-11-19-nftables-in-kube-proxy/index.md
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Expand Up @@ -4,14 +4,13 @@ description: "Learn about how to use the nftables mode of kube-proxy on AKS."
date: 2025-11-19
authors: [jack-ma]
tags:
- nftables
- kube-proxy
- networking
---

## Summary

We're announcing the preview availability of **nftables** mode for kube-proxy in Azure Kubernetes Service (AKS). This feature was requested in [GitHub issue #5061](https://github.com/Azure/AKS/issues/5061) and is now aligned with the upstream Kubernetes GA release of the nftables backend.

<!-- truncate -->

## Background

Kubernetes 1.33 introduced **nftables** as a fully supported kube-proxy mode. It serves as the modern replacement for iptables, offering a more efficient rule model and improved performance characteristics on newer Linux kernels. As highlighted by the upstream project, nftables reduces rule churn and avoids the scaling and latency limitations seen in large clusters using iptables.
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10 changes: 10 additions & 0 deletions website/blog/tags.yml
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Expand Up @@ -152,6 +152,11 @@ general:
permalink: /general
description: Broad AKS topics, announcements, conceptual overviews, and cross-cutting guidance.

gpu:
label: GPU
permalink: /gpu
description: deploying and managing GPU workloads on AKS clusters.

grafana:
label: Grafana
permalink: /grafana
Expand Down Expand Up @@ -237,6 +242,11 @@ networking:
permalink: /networking
description: Cluster and application networking, eBPF, traffic management, and connectivity patterns.

nvidia:
label: NVIDIA
permalink: /nvidia
description: NVIDIA GPU integration, drivers, and AI/ML acceleration on AKS.

observability:
label: Observability
permalink: /observability
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