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v1.34: User preferences (kuberc) are available for testing in kubectl 1.34

Kubernetes v1.34 pusheskubectlinto the future with a betauser preferencessystem. Drop a.kubercfile in place, and you can bake in default flags, toggle features likeinteractive deleteorServer-Side Apply, and wire up custom aliases—including pre- and post-args... read more  

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v1.34: Of Wind & Will (O' WaW)

Kubernetes v1.34 drops with58 updates, and23 just hit stable. Highlights: Dynamic Resource Allocation (DRA), per-Pod resource limits, and secure image pulls using Pod-specific ServiceAccount tokens. Scalability gets a lift from streaming list responses. Security tightens with finer anonymous auth r.. read more  

v1.34: Of Wind & Will (O' WaW)
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An introduction to platform engineering

Platform engineering is stepping in where DevOps didn’t quite land. Think fewer duct-taped pipelines, more thoughtful systems. The fix? Internal Developer Platforms (IDPs), usually riding on Kubernetes, built to tame the sprawl. Gartner says 80% of big engineering orgs will run platform teams by 20.. read more  

An introduction to platform engineering
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Kubernetes in an AI-Native World: Can It Stay Relevant?

At KubeCon + CloudNativeCon Hyderabad 2025, CNCF leads made it clear:cloud-native infraisn’t just supporting AI—it’s becoming its backbone. The conversation’s moved on from“Can Kubernetes run AI?”to“How does it evolve for AI-first everything?”.. read more  

Kubernetes in an AI-Native World: Can It Stay Relevant?
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Battle for Resources or the SSA Path to Kubernetes Diplomacy

A full-stack engineer and systems architect with hands-on time incloudandIoT, building real-world tools for theoil and gas sector. Think connected rigs, smart pipelines, and infrastructure that doesn’t flinch at scale. Market signal:Industrial tech’s going deep. Cloud and IoT aren’t side projects a.. read more  

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From Novice to Pro: Mastering Lightweight Linux for Your Kubernetes Project

Alpine, Flatcar, Fedora CoreOS, Talos, and Ubuntu Core are carving out strong niches as Kubernetes-first base OSes. Each leans into immutability, container-native design, and just enough system overhead to get out of the way. That lean profile isn’t just a flex—it means lower resource drag and a de.. read more  

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The architecture of AI is different from all of the computing that came before it

AI is breaking open source out of its old habits. Compute-heavy models now demand GPU-first stacks, leaner infrastructure, and fresh rules for how we build and scale. Jonathan Bryce points out: scalability and reliability still matter—but AI’s deployment needs throw the old architecture playbook ou.. read more  

The architecture of AI is different from all of the computing that came before it
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Kubernetes v1.34 brings networking refinements for cloud-native infrastructure

Kubernetes 1.34 comes packed withnetworking upgradesbuilt for scale. Less overhead. Fewer headaches. Easier to run big clusters without sweating packet flows. This triannual release keeps pushing the envelope for both cloud-native setups and the on-prem diehards... read more  

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CNCF Incubates OpenYurt for Kubernetes at the Edge

OpenYurt just leveled up—now officially an incubating project under the CNCF. It pushes Kubernetes out past the data center, into the messy edges of the network, without breaking upstream compatibility. No forks, no duct tape. The maintainer roster’s growing too. Folks fromVMware,Microsoft, andInte.. read more  

CNCF Incubates OpenYurt for Kubernetes at the Edge
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Evolving Kubernetes for generative AI inference

Google Cloud, ByteDance, and Red Hat are wiring AI smarts straight intoKubernetes. Think: faster inference benchmarks, smarter LLM-aware routing, and on-the-fly resource juggling—all built to handle GenAI heat. Their new push,llm-d, bakesvLLMdeep into Kubernetes. That unlocks disaggregated serving .. read more  

Evolving Kubernetes for generative AI inference
Tor (The Onion Router) is an open-source network and software suite designed to protect user privacy and enable anonymous communication on the internet. It works by routing network traffic through a distributed, volunteer-run network of relays, encrypting data in multiple layers so that no single relay knows both the source and destination of the traffic. Tor is widely used to defend against traffic analysis, surveillance, and censorship. By obscuring IP addresses and routing paths, it helps users browse the web anonymously, publish information safely, and access services without revealing their location or identity. The network supports standard web traffic as well as specialized .onion services, which allow websites and services to operate anonymously without exposing their physical hosting location. Beyond web browsing, Tor is used as a foundational privacy layer for secure messaging, whistleblowing platforms, journalism, activism, academic research, and secure system administration. It is also integrated into many privacy-focused operating systems and tools. While Tor can reduce traceability, it does not make users invulnerable and must be used with proper operational security to avoid deanonymization risks. Tor is developed and maintained by the Tor Project, a nonprofit organization dedicated to advancing digital privacy and freedom worldwide