Workload-Aware Scheduling in Kubernetes 1.37
Aug 6, 2026
Building Blocks, the workloadbuilder Library, and Controller Integration
Read moreHeba Elayoty
Software Engineer at Microsoft · Kubernetes Contributor
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View allفي شوية ملاحظات أخدت بالي منها خلال مراجعتي للمتقدمين علي التدريب ل LFX وكنت…
Sep 6, 2026 · 5-post thread
في شوية ملاحظات أخدت بالي منها خلال مراجعتي للمتقدمين علي التدريب ل LFX وكنت حابة اشاركه مع الناس هنا. - اهتم بالتفاصيل, يعني اكتب cover letter and resume كويسين. اللي بيشوف الapplication بتعتك بيبقي
Read moreالموقع دا من اجمل الحاجات اللي تفهمك الدنيا من أصولها
Sep 5, 2026
الموقع دا من اجمل الحاجات اللي تفهمك الدنيا من أصولها. وساعدني كتير في كتابة البلوج دا والتحضير لحلقة أحمد الإمام https://helayoty.org/blogs/the-magic-behind-containers
Read moreإشادة لفريق ال PR اللي فكر في شيء جميل ومميز بالشكل دا وشكراً للشركة وللدحيح…
Aug 25, 2026
إشادة لفريق ال PR اللي فكر في شيء جميل ومميز بالشكل دا وشكراً للشركة وللدحيح أنهم قرروا يعملوا شيء مفيد كدا.
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View allDocker كما لم تعرفه من قبل - K8s & Open Source Part 2 - تيك بودكاست بالعربي
Ahmed Elemam - أحمد الإمام
Watch on YouTubeRecent Talks
View allWG-Workload Aware Scheduling: An Introduction
KubeCon + CloudNativeCon North America 2026 · Nov 12, 2026 · 11:00 AM – 11:30 AM MST
Salt Palace | Level 2 | 250 A-C
With Kevin Hannon, Andrey Velichkevich, Matt Matejczyk
The Kubernetes community has been hard at work enhancing the scheduling of workloads. In 2026, the community started adding support for workload aware scheduling and this work was eventually folded into a working group. In this session, we will highlight the APIs added, provide details on the in-tree roadmap and the goal of the working group with respect to the ecosystem. We will discuss the integrations with Kueue and popular workload controllers like JobSet. This session will provide the roadmap and future plans for the working group. We are also looking for engagement from the community.
Maintainer Track
SIG Autoscaling Project Updates
KubeCon + CloudNativeCon North America 2026 · Nov 10, 2026 · 11:30 AM – 12:00 PM MST
Salt Palace | Level 2 | 254
With Jack Francis, Jason Deal, Kuba Tużnik
The continued embrace of Kubernetes as a platform for AI workloads has presented new challenges for ensuring that clusters and workloads can scale and make efficient use of hardware. There's lots of updates and forward-looking news to share about how the various projects within the SIG are solving these problems. In addition to providing project updates for Karpenter, Cluster Autoscaler, VPA, and HPA, we'll provide a thorough update to the SIG's effort to integrate infrastructure autoscaling into active efforts to nativize AI workloads on Kubernetes: DRA, Workload/Topology Aware Scheduling; and how we're building new abstractions to standardize core dependencies betweeen Cluster Autoscaler and Karpenter. Attendees will leave the session with a better understanding of the the SIG's plans to tackle major AI/ML use cases, ensuring we can meet the needs of workload scaling on Kubernetes now and into the future.
Maintainer Track
Docker كما لم تعرفه من قبل — K8s & Open Source Part 2
تيك بودكاست بالعربي (Tech Podcast in Arabic) · Jan 3, 2026
An in-depth look at Docker — containers, networking, storage, Dockerfiles, and Docker Compose — building on the Kubernetes & open-source series.
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