ContentPosts from @faun..
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@faun shared a link, 3 months, 2 weeks ago

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..

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@faun shared a link, 3 months, 2 weeks ago

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..

I built a Pi‑powered Kubernetes cluster — was it worth it?
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@faun shared a link, 3 months, 2 weeks ago

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..

Make Before Break - Faster Scaling Mechanics for ClickHouse Cloud
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@faun shared a link, 3 months, 2 weeks ago

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..

The Kro Project: Giving Kubernetes Users What They Want
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@faun shared a link, 3 months, 2 weeks ago

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..

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@faun shared a link, 3 months, 2 weeks ago

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..

Headlamp: A multicluster management UI for Kubernetes
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@faun shared a link, 3 months, 2 weeks ago

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..

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@faun shared a link, 3 months, 2 weeks ago

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..

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@faun shared a link, 3 months, 2 weeks ago

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...

OpenTelemetry Observability in Crunchy Postgres for Kubernetes
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@faun shared a link, 3 months, 3 weeks ago

Benchmarking a 65,000-node GKE cluster with AI workloads

GKE’s now flexes with a colossal 65,000-node cluster—a boon for AI workloads that feast on mega infrastructure. Building on their 50,000+ TPU cluster saga, GKE tackles AI workload quirks like resource juggling and node chatter. In CPU stress tests, they whipped up 65,000 StatefulSet Pods, flaunting ..