K3sDaily

This CSI driver allows Kubernetes to access an NFS server on a Linux node.

More: https://github.com/kubernetes-csi/csi-driver-nfs

Kine is an etcdshim that translates etcd API to SQLite, Postgres, Mysql, and dqlite.

More: https://github.com/k3s-io/kine

Kube-green is a simple k8s addon that automatically shuts down (some of) your resources when you don't need them.

More: https://kube-green.dev

This week on Learn Kubernetes Weekly 106:

⏰ How to solve the issue of network latency jitters caused by a massive number of IPVS rules
🏋️‍♀️ Load testing Kubernetes clients without breaking the bank
🚦 Terminating elegantly: a guide to graceful shutdowns
📉 How I reduced EKS Windows node start time from 5 min to ~90s
🤔 How Kubernetes Requests and Limits Really Work

Read it now: https://learnk8s.io/issues/106

🌟 This newsletter is brought to you by Testkube — Scale all of your tests with Kubernetes, integrate seamlessly with CI/CD and centralize test troubleshooting and reporting https://ku.bz/_bByjc0mQ

This week's 6 Kubernetes jobs that offer VISA sponsorships are:

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 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

Machine Learning Engineer with Palo Alto Networks
💰 $179K to $290.5K a year
🏠 From the office in Santa Clara, CA, USA
→ https://kube.careers/t/e209f0be-6d13-4f0c-80fe-7d99d3849a2f?s=55

Software Engineer with Latitude AI
💰 $170.56K to $234.52K a year
🏠 From the office in Pittsburgh, PA / Palo Alto, CA, USA
→ https://kube.careers/t/6621a26f-5885-48e1-8702-5cac21fae6da?s=55

👉 Browse all 1407 Kubernetes jobs on Kube Careers https://kube.careers

SlimFaas is a tool for creating functions as a service on Kubernetes.

It allows you to scale to zero, supports asynchronous and synchronous calls, the retry pattern, and more.

More: https://github.com/AxaFrance/SlimFaas

@miamorecadenza shares their journey in building a "compute as a faucet" home lab where infrastructure becomes invisible and tasks can be executed without manual intervention.

You will learn:

- How to evaluate operating systems for your home lab — from Rocky Linux to Talos Linux, and why minimal, immutable operating systems are gaining traction.
- How to implement a three-tier storage strategy combining Longhorn (replicated storage), NFS (bulk storage), and S3 (cloud storage) to handle different workload requirements.
- How to secure your home lab with certificate-based authentication, WireGuard VPN, and proper DNS configuration while protecting your home IP address.

Watch (or listen to) it here: https://ku.bz/2kzj2MgfH

🌟 This episode is sponsored by Nutanix — innovate faster with a complete and open cloud-native stack for all your apps and data anywhere https://ku.bz/wb_0GNHnr

With @Birthmarkb "SIG-Bart" Farrell

Is the Kubernetes job market still hot in 2024? 🔥

We analyzed 8772 Kubernetes job listings from Q3 2024 to find out:

💰 The average worldwide Kubernetes salary is $158,134, with North America averaging $169,627.
🌎 A whopping 62% of Kubernetes jobs are in North America, with Europe at 32.5%.
👩‍💻 Software Engineers remain the most sought-after role (42%), followed by DevOps and Platform Engineers.
🏡 68% of jobs allow some form of remote work, with hybrid roles gaining popularity.
🐍 Python continues to be the most in-demand programming language for Kubernetes roles.

Want to know which skills and tools are essential to land your next Kubernetes job? Check out our detailed State of the Kubernetes Job Market report for Q3 2024: https://ku.bz/vg_wXyNvj

Spegel is a tool that enables each node in a Kubernetes cluster to act as a local registry mirror, allowing nodes to share images between themselves.

More: https://github.com/spegel-org/spegel

In this 4-part series, you will explore how Kubernetes requests and limits work and how:

- CPU requests and limits abstract over the Complete Fair Scheduler.
- Memory maps to cgroups and OOM.
- They affect node pressure and eviction

More: https://ku.bz/MkwX-Wgcy

Kubeswitch is a command-line tool to ease switching between different kubectl contexts.

Kubeswitch is a drop-in replacement for kubectx.

More: https://github.com/danielfoehrKn/kubeswitch

This week on Learn Kubernetes Weekly 105:

🇨🇳 Chinese Docker Hub complete shutdown: how far can Kubernetes image repositories go?
🤯 Overengineering this blog's preview site with Kubernetes
🧐 Taking a look at the Kube-proxy API
🥇 Kubernetes: the road to 1.0
🏃‍♂️ Extending Kubernetes functionality: A practical guide to custom resource definitions

Read it now: https://learnk8s.io/issues/105

🌟 This newsletter is brought to you by Syntasso, creators of Kratix, a framework for building composable developer platforms. Deploy on Kubernetes with speed, safety, and scalability https://ku.bz/0F0XMbqgN

This week's 6 Kubernetes jobs that offer VISA sponsorships are:

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 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

Machine Learning Engineer with Palo Alto Networks
💰 $179K to $290.5K a year
🏠 From the office in Santa Clara, CA, USA
→ https://kube.careers/t/e209f0be-6d13-4f0c-80fe-7d99d3849a2f?s=55

Software Engineer with Latitude AI
💰 $170.56K to $234.52K a year
🏠 From the office in Pittsburgh, PA / Palo Alto, CA, USA
→ https://kube.careers/t/6621a26f-5885-48e1-8702-5cac21fae6da?s=55

👉 Browse all 1390 Kubernetes jobs on Kube Careers https://kube.careers

Utils is a Docker image with tools like curl, wget, ping, netcat, nslookup, host, dig, psql, mysql, swaks etc.

More: https://github.com/arunvelsriram/utils

Paul Butler, founder of Jamsocket, discusses how to identify necessary vs unnecessary complexity in Kubernetes and explains how his team successfully runs production workloads by being selective about which features they use.

You will learn:

- Why to be cautious with features like CRDs, StatefulSets, and Helm and how to evaluate if you really need them.
- How to stay on the "happy path" in Kubernetes by focusing on stable and simple resources like Deployments, Services, and ConfigMaps.
- When to consider alternatives like Google Cloud Run for simpler deployments that don't need the full complexity of Kubernetes.

Watch (or listen to) it here: https://kube.fm/kubernetes-hater-s-guide-paul

🌟 This episode is sponsored by Syntasso, the creators of Kratix, a framework for building composable internal developer platforms https://ku.bz/CJNDlLXVS

With @Birthmarkb "Diet Coke Lover" Farrell

Terraform DigitalOcean HA K3S Module is a tool for provisioning a high-availability K3s cluster with an external database on the DigitalOcean cloud platform.

More: https://github.com/aigisuk/terraform-digitalocean-ha-k3s

Daniel Bodky, Platform Advocate at NETWAYS Web Services, shares his strategy for learning new Kubernetes tools and features by building a home lab with a bare metal Kubernetes cluster. He explains how this approach allows you to:

- Experience all aspects of Kubernetes on a smaller scale.
- Make practical decisions on networking, CNI (using Cilium), and distribution choices.
- Address security and persistent storage challenges in an on-premises environment.
- Encounter and solve "nitty gritty edge cases", particularly when using newer ARM hardware.

Daniel emphasizes that this hands-on method provides opportunities to "really think about how you're going to put things out, how to build things up from the ground, look at the tooling available and maybe even contribute" to the Kubernetes ecosystem.

Watch the full interview: https://kube.fm/tools-and-learning-daniel

This interview is a reaction to Mathias Pius's episode https://kube.fm//bare-metal-kubernetes-mathias

Kubernetes in action: from pods to production-ready clusters!

📆 Learnk8s runs a 4-day online Advanced Kubernetes course next week!

You will learn how to:

1️⃣ Architect and design resilient clusters (in the cloud or on-prem).
2️⃣ Master deployment strategies and resource management.
3️⃣ Wire the cluster network and trace packets flowing through it.
4️⃣ Secure your cluster with the latest best practices.
5️⃣ Autoscale, manage data and stateful workloads, monitoring and more.

What you need to know:

✅ 40% lecture, 60% hands-on labs.
✅ Small groups for personalized learning.
✅ Progresses from basics to advanced topics.
✅ Lifetime access to course materials and Slack community.

Ticket and info: https://kube.events/t/3ae8e890-0f78-40e8-854e-849964bb8aee

Corporate training: https://learnk8s.io/corporate-training

Kubernetes Image Puller caches images by installing a DaemonSet and creating a pod on each node consisting of containers with a sleep command.

More: https://github.com/che-incubator/kubernetes-image-puller

Kubeshark, the API Traffic Viewer for kubernetes, provides deep visibility and monitoring of all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster.

More: https://kubeshark.co