K3sDaily

Seabird is a Kubernetes IDE designed for the GNOME desktop. It has essential features such as a terminal for executing commands, monitoring through logs and metrics, and a resource editor that conveniently places the API reference at your fingertips. More: https://github.com/getseabird/seabird

Why can't you ping a Kubernetes service? Learnk8s runs a 4-day Advanced Kubernetes course on Sep 30, and you will get to the bottom of questions like this (spoiler: services only exist in etcd). You will also learn the nitty-gritty details of Kubernetes networking: - How to plan and design a cluster network. - How do the four Kubernetes services extend each other, and what do you gain from each? - How CoreDNS, Ingress, and kube-proxy consume the Kubernetes currency: endpoints. This (and much more) is covered on the third day of the course. You can find the full agenda, a breakdown of the modules and how to sign up here: https://kube.events/t/06d19f85-4645-42f7-87c5-040888900b9d Are you training your team? Customize the workshop in full with corporate training https://learnk8s.io/corporate-training

kube-vip provides Kubernetes clusters with a virtual IP and load balancer for both the control plane (for building a highly-available cluster) and Kubernetes Services of type LoadBalancer without relying on external hardware or software. More: https://kube-vip.io

This week on Learn Kubernetes Weekly 96: ☝️ Fairness aware load distribution 📝 Kubernetes configuration in 2024 👂 Container communication inside a Kubernetes pod 🤔 What determines if a Kubernetes node is ready? 💨 Do pods really get evicted due to CPU pressure? Read it now: https://learnk8s.io/issues/97 🌟 This newsletter issue is brought to you by VictoriaMetrics — a fast and scalable open-source time series database and monitoring solution. https://victoriametrics.com/?utm_campaign=LearnK8s&utm_medium=newsletter&utm_source=Learnk8s

This week's 6 Kubernetes jobs that offer VISA sponsorships are: Platform Engineer with Anthropic 💰 $320K to $405K a year 🏠🏃🏻‍♂️🌎 San Francisco, CA / Seattle, WA / New York, NY, USA → https://kube.careers/t/b7cbb183-e328-4522-bbfb-f9517185e89f?s=55 Platform Engineer with ClickUp 💰 $240K to $290K a year 👨‍💻 Remote from the United States → https://kube.careers/t/68d3df6f-912c-4718-8b98-90332526c10f?s=55 Software Engineer with Hiive 💰 $225K to $275K a year 👨‍💻 Remote from the United States, Canada → https://kube.careers/t/13dc9c8c-8614-43a4-b9de-471b33c7ad1d?s=55 Software Engineer with Chai Research Corp. 💰 $200K to $300K a year 🏠 From the office in Palo Alto, CA, USA → https://kube.careers/t/d4559ae7-15bb-46d1-8774-716eb50bdf3c?s=55 Platform Engineer with Honor 💰 $221.4K to $270.6K a year 👨‍💻 Remote from the United States → https://kube.careers/t/360f7152-659b-4acf-8868-88eeeeb784bd?s=55 👉 Browse all 1412 Kubernetes jobs on Kube Careers https://kube.careers

This guide describes how to perform a backup of k3s cluster using Litestream. It explains the litestream restore command and -if-db-not-exists flag, which allows the restoration of a database only if one is not already present. More: https://inovex.de/de/blog/k3s-backup-litestream

In this KubeFM episode, Kensei Kanada discusses Tortoise, an open-source project he developed to tackle Kubernetes resource optimizations. You will learn: - The complexities of resource optimization in Kubernetes, including the challenges of managing HPA, VPA, and manual tuning of resource requests and limits - How Tortoise automates resource optimization by replacing HPA and VPA, reducing the need for manual intervention and continuous tuning - The technical implementation of Tortoise, including its use of Custom Resource Definitions (CRDs) and how it interacts with existing Kubernetes components Watch (or listen to) it here: https://kube.fm/tortoise-kensei 🌟 What's the best instance for your Kubernetes cluster? Check out Learnk8s's Kubernetes Instance Calculator and find out: https://learnk8s.io/kubernetes-instance-calculator With @Birthmarkb "But that's not Kubernetes" Farrell

KubeEdge extends native containerized application orchestration and device management to hosts at the Edge. You can use it to deploy complicated machine learning, image recognition, event processing, and other high-level applications to the Edge. More: https://github.com/kubeedge/kubeedge

The article discusses what determines if a Kubernetes node is ready, specifically the kubelet's checks: the container runtime, CSI provider, CPU, memory, max pods, network, and pod lifecycle event generator. More: https://trstringer.com/kubernetes-node-ready

KWOK (Kubernetes-WithOut-Kubelet) is a toolkit that enables setting up a cluster of thousands of nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint. More: https://github.com/kubernetes-sigs/kwok