Hands-On Labs: Platforms like Play with Kubernetes and Killer.sh provide interactive labs for experimenting with advanced configurations and failure scenarios, reinforcing theoretical knowledge with practical experience. - Source: dev.to / about 1 month ago

I took detailed notes in my Notion about Linux commands and practiced in the playground suggested by Roxs. - Source: dev.to / 3 months ago

Sign up or login into KillerCoda. [https://killercoda.com]. - Source: dev.to / 8 months ago

I launched an Ubuntu playground on Killercoda, which gave me access to a Linux terminal environment. - Source: dev.to / 8 months ago

Killercoda offers free environments (based on Ubuntu) with various tools for beginners to try hands-on. It also has the Kubernetes playground which provides control plane server access for 1 hour. In which we can try to practice hands-on with control plane components. Because sometimes we are dependent on training platforms to try the control plane (or kubeadm) practice, and killercoda comes handy as a free... - Source: dev.to / about 3 years ago

Kind — recommended. Creates a cluster using kind. Requires the containerd image store. Locally built images must be explicitly loaded into the cluster with kind load docker-image before Kubernetes can use them. - Source: dev.to / about 1 month ago

What we need is a way to bootstrap a Kubernetes Cluster itself. Being in a docker-like environment the best option is a Kubernetes in Docker solution, Such as KinD or K3s. Both are available in Daggerverse and can be installed as external module to be reused. - Source: dev.to / 2 months ago

# .github/workflows/test.yml Name: Testes de integração On: [push, pull_request] Jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Instalar kind e kubectl run: | curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.23.0/kind-linux-amd64 chmod +x ./kind && sudo mv ./kind /usr/local/bin/kind curl -LO... - Source: dev.to / 3 months ago

Before landing on the base image approach, my first assumption was that the Kubernetes cluster setup was the bottleneck - we use kind to run dependencies like PostgreSQL and NATS. I replaced kind with k3s. It saved 1–2 minutes, but nothing significant on its own. - Source: dev.to / 4 months ago

> kind create cluster Creating cluster "kind" ... ✓ Ensuring node image (kindest/node:v1.35.0) 🖼 ✓ Preparing nodes 📦 ✓ Writing configuration 📜 ✓ Starting control-plane 🕹️ ✓ Installing CNI 🔌 ✓ Installing StorageClass 💾 Set kubectl context to "kind-kind" You can now use your cluster with: Kubectl cluster-info --context kind-kind Not sure what to do next? 😅 Check out... - Source: dev.to / 6 months ago