Chris ShortCEL finds a new home at github.com/cel-expr! #devopsish https://opensource.googleblog.com/2026/06/cel-finds-a-new-home-at-githubcomcel-expr.html
We got local models to triage the OpenClaw repo for FREE!* #devopsish https://huggingface.co/blog/local-models-pr-triage
How Netflix Simplified Batch Compute with Kueue #devopsish https://netflixtechblog.com/how-netflix-simplified-batch-compute-with-kueue-87860682629c
Chinese start-up tackles fusion energy software bottleneck with help of AI #devopsish https://www.scmp.com/tech/tech-trends/article/3357765/chinese-start-tackles-fusion-energy-software-bottleneck-help-ai?utm_source=rss_feed
Fine-Tuning Your Own Model Is the Best Way to Get the Output You Want with Harper Carroll #devopsish https://youtube.com/watch?v=xxhp3LxiIAs&is=TtfQwBf_vGj0qOSD
Spotlight on WG Device Management #devopsish #kubernetes https://kubernetes.io/blog/2026/06/24/wg-device-management-spotlight-2026/
Spotlight on WG Device Management
The rising popularity of AI, Edge, and Telecommunications workloads on Kubernetes has led to new requirements for hardware management. We now need hardware specification beyond CPU time and memory allocations. This includes allocating GPUs, TPUs, network interfaces, and other hardware, sometimes after pod start and occasionally through time-sharing. Efficiently managing this specialized hardware is the mission of the Device Management Working Group. Their cornerstone project, Dynamic Resource Allocation (DRA), recently graduated to GA, marking a fundamental shift in how the project handles hardware-intensive workloads at scale.
Report: Kennedy Space Center not ready for era of super heavy rockets #devopsish https://arstechnica.com/space/2026/06/report-kennedy-space-center-not-ready-for-era-of-super-heavy-rockets/
Blog: Spotlight on WG Device Management #devopsish #kubernetes https://www.kubernetes.dev/blog/2026/06/24/wg-device-management-spotlight-2026/
Spotlight on WG Device Management
The rising popularity of AI, Edge, and Telecommunications workloads on Kubernetes has led to new requirements for hardware management. We now need hardware specification beyond CPU time and memory allocations. This includes allocating GPUs, TPUs, network interfaces, and other hardware, sometimes after pod start and occasionally through time-sharing. Efficiently managing this specialized hardware is the mission of the Device Management Working Group . Their cornerstone project, Dynamic Resource Allocation (DRA) , recently graduated to GA, marking a fundamental shift in how the project handles hardware-intensive workloads at scale.
'Squidbleed,' a memory leak that's gone undetected since Clinton era #devopsish https://www.theregister.com/security/2026/06/23/mythos-discovers-squidbleed-a-memory-leak-thats-gone-undetected-since-clinton-era/5260367
