Mar 25
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Welcome to this end-to-end DevOps lab session where we set up a complete Kubernetes environment using KIND (Kubernetes in Docker) and configure Helm, Prometheus, and Grafana for monitoring! In this session, we’ll go step-by-step through: ✅ Installing KIND and creating a Kubernetes cluster ✅ Setting up Helm package manager ✅ Deploying Prometheus & Grafana for monitoring ✅ Exposing Kubernetes services externally ✅ Deploying a sample application and visualizing metrics ✅ Reviewing the session document & GitHub repository for reference 💻 GitHub Repository: 🔗 https://github.com/Aseemakram19/kind-k8s-voting-app.git 📄 Session Document: [🔗 https://github.com/Aseemakram19/kind-k8s-voting-app/tree/main/kind-cluster 🔧 What You’ll Learn: Local Kubernetes setup using KIND Using Helm charts for Prometheus & Grafana deployment Service exposure techniques (NodePort / LoadBalancer / Ingress) Application deployment best practices Live monitoring & observability in Kubernetes 🚀 Perfect for: DevOps Engineers & Cloud Enthusiasts Learners exploring Kubernetes Monitoring Anyone looking to build hands-on skills in KIND, Helm, and Grafana 📢 Don’t forget to Like, Share & Subscribe for more DevOps hands-on tutorials! #Kubernetes #DevOps #KIND #Helm #Prometheus #Grafana #K8sMonitoring #cloudnative https://github.com/Aseemakram19/kind-k8s-voting-app.git Click to Our channel : https://www.youtube.com/@clouddevopswithaseem?sub_confirmation=1 Connect with me on LinkedIn : www.linkedin.com/in/mohammed-aseem-akram Connect with me on GitHub: https://github.com/Aseemakram19 Join this channel to get access to perks: https://www.youtube.com/channel/UC8EVuF-XAXwsMr3USVcMrPg/join