ContentPosts from @pavelkabakov..
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@faun shared a link, 7 months, 1 week ago
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The Kro Project: Giving Kubernetes Users What They Want

Krosprang into existence powered by the unlikely trio:Google, Amazon, and Microsoft. This tool seeks to untangle Kubernetes orchestration while wearing a stylish, cloud-agnostic hat. It's defying the conventional walls of competition by making things play nicely across platforms. Just seven months i.. read more  

The Kro Project: Giving Kubernetes Users What They Want
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@faun shared a link, 7 months, 1 week ago
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Kelsey Hightower on Nix vs. Docker: Is There a Different Way?

Kelsey Hightowertips his hat toNix. It holds promise for sharpeningDockerby taming the chaos of reproducible builds. But don't get it twisted—Docker's not going anywhere. Its ecosystem brims with tools and ease of use thatNixhas yet to match. Hightower challenges theNixcrowd: craft a sustainable eco.. read more  

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@faun shared a link, 7 months, 1 week ago
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OpenTelemetry Observability in Crunchy Postgres for Kubernetes

OpenTelemetrybarges intoCrunchy Postgres for Kubernetesv5.8, tossing away those Prometheus sidecars in favor of OpenTelemetry collectors. It's a bold move: observability without chains. No more vendor handcuffs. Just pure, unfettered insights, delivered fast... read more  

OpenTelemetry Observability in Crunchy Postgres for Kubernetes
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@faun shared a link, 7 months, 1 week ago
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Headlamp: A multicluster management UI for Kubernetes

Headlampshakes up Kubernetes management with a GUI that catapults you from setup to active use in seconds. Whether you're cloud-bound or grounded on-prem, it slides right in. Its flexible architecture lets you stretch as needed, while detailed application maps and handy extras like port forwarding f.. read more  

Headlamp: A multicluster management UI for Kubernetes
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@faun shared a link, 7 months, 1 week ago
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Kubernetes for Pentesters

Unveiling weak spots in Kubernetes starts with sniffing out missteps—exposed API endpoints being the usual suspects. These often blab sensitive cluster secrets. Tools like Shodan and Censys—or just some crafty Google-fu—can flag data, tipping you off to shaky K8s configurations. Who knew hacking cou.. read more  

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@faun shared a link, 7 months, 1 week ago
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Hunting Zombie Processes in Go and Docker

Docker containers give PID 1 the spotlight, but it's a diva. It needs to manage zombie processes or play nice with an init system likeTini. WhenTinistepped in, the container kicked those undead resource hogs to the curb. Suddenly, the server ran like a dream, and those annoyingRediserrors bit the du.. read more  

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@faun shared a link, 7 months, 1 week ago
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Introducing Model Runner

Docker Model Runnermakes running AI models on your local machine a breeze. Thanks toGPU acceleration on Apple siliconand seamless hookup with Docker Desktop, it’s like giving your machine a caffeine boost. No more juggling fragmented tools. Models run asOCI Artifactsstraight from Docker Hub, boostin.. read more  

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@faun shared a link, 7 months, 1 week ago
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Make Before Break - Faster Scaling Mechanics for ClickHouse Cloud

ClickHouse Clouddecided to shake up the status quo with a gutsyMake-Before-Breakapproach. They chopped vertical scaling delays by dynamically adding capacity without sending your data to the void. This ballet involves managing multipleStatefulSetswith the grace of a lion tamer, maintaining both agil.. read more  

Make Before Break - Faster Scaling Mechanics for ClickHouse Cloud
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@faun shared a link, 7 months, 1 week ago
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I built a Pi‑powered Kubernetes cluster — was it worth it?

ARaspberry Pi 5nestled in a shoebox rack, spinning its wheels with "real" Kubernetes. It sips a dainty 10W but stumbles over hiccups like ARM64 chart voids and single-lane PCIe NVMe antics. Though NVMe drives rocket from 90MB/s to 350MB/s, reeling in those image pulls, thermal throttling and x86-exc.. read more  

I built a Pi‑powered Kubernetes cluster — was it worth it?
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@anjali shared a link, 7 months, 2 weeks ago
Customer Marketing Manager, Last9

GDPR Log Management: A Practical Guide for Engineers

Learn how to manage logs under GDPR—handle personal data, set retention rules, and stay compliant without losing observability.

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