Tootfinder

»June 7: Initial release – first github commit for Kubernetes«
This was June 7, 2014, so 11 years ago. For some people, in IT everything older then 10 years already counts as vintage.
Source: https://blog.risingstack.com/the-history-of-kubernetes/

The History of Kubernetes on a Timeline - RisingStack Engineering
To tell the story of how Kubernetes evolved into the great tool that we know today, we visualized the major milestones on an interactive timeline!

Kupferausstieg: Österreichs Regulierer hofft auf Kooperation der Netzbetreiber
2030 sollen die letzten Kupfernetze in der EU abgeschaltet werden. In Österreich glaubt niemand daran. Jetzt laufen Vorbereitungen für einen späteren Termin an.

Das ist doch die Hand eines Ent, oder? ODER? 🤔🤭
Für eine #Sommerwanderung in diesem Bundesland findet Ihr Routenideen mit GPX-Track übrigens unter https://www.oekologisch-unterwegs.de/wande

#OWASP #Kubernetes Top Ten
https://owasp.org/www-project-kubernetes-top-ten/

An in-depth look at the US SEC's EDGAR system breach that was disclosed in 2017, as one of the key hackers, Olga Kuprina, says EDGAR remains a soft target (Liam Vaughan/Bloomberg)

I am not worried about AI taking over in a self-aware doom scenario because it all runs on kubernetes and the moment it tries to self-modify, it'll do something that wedges itself and it'll just stop

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS
Preethika Pradeep, Eyhab Al-Masri
https://arxiv.org/abs/2506.04902 https://

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS
AIoT workloads demand energy-efficient orchestration across cloud-edge infrastructures, but Kubernetes' default scheduler lacks multi-criteria optimization for heterogeneous environments. This paper presents GreenPod, a TOPSIS-based scheduler optimizing pod placement based on execution time, energy consumption, processing core, memory availability, and resource balance. Tested on a heterogeneous Google Kubernetes cluster, GreenPod improves energy efficiency by up to 39.1% over the default Kuber…

ADA: Automated Moving Target Defense for AI Workloads via Ephemeral Infrastructure-Native Rotation in Kubernetes
Akram Sheriff, Ken Huang, Zsolt Nemeth, Madjid Nakhjiri
https://arxiv.org/abs/2505.23805

ADA: Automated Moving Target Defense for AI Workloads via Ephemeral Infrastructure-Native Rotation in Kubernetes
This paper introduces the Adaptive Defense Agent (ADA), an innovative Automated Moving Target Defense (AMTD) system designed to fundamentally enhance the security posture of AI workloads. ADA operates by continuously and automatically rotating these workloads at the infrastructure level, leveraging the inherent ephemerality of Kubernetes pods. This constant managed churn systematically invalidates attacker assumptions and disrupts potential kill chains by regularly destroying and respawning AI …

Just a reminder that you don't need to be on WP to do the fade in thingy - nice that they can finally do it though.
on https://www.simoncox.com I added
main{
animation: fadeIn 1s;
}
@keyframes fadeIn {
0% { opacity: 0; }
100% { opacity: 1; }
}

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
Yong Xiang (Tsinghua University), Charley Peter Chen (Harmonic Inc), Liyi Zeng (Peng Cheng Laboratory), Wei Yin (Tsinghua University), Xin Liu (Tsinghua University), Hu Li (Unaffiliated), Wei Xu (Tsinghua University)
https://arxiv.org/abs/2506.02490

Simplifying Root Cause Analysis in Kubernetes with StateGraph and LLM
Kubernetes, a notably complex and distributed system, utilizes an array of controllers to uphold cluster management logic through state reconciliation. Nevertheless, maintaining state consistency presents significant challenges due to unexpected failures, network disruptions, and asynchronous issues, especially within dynamic cloud environments. These challenges result in operational disruptions and economic losses, underscoring the necessity for robust root cause analysis (RCA) to enhance Kube…