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🚀 Watch a live Kubernetes monitoring dashboard running on AWS with Prometheus collecting cluster metrics and Grafana visualizing them in real time. In this tutorial, you’ll build a production-grade Kubernetes monitoring stack used by real DevOps teams. If you're running Kubernetes on AWS (EKS), you must understand how to monitor cluster health, CPU usage, memory pressure, pod performance, and infrastructure metrics. 🔥 DevOps Career Boost 🚀 Linux Foundation Certifications – 30% OFF 💥 Get 30% OFF Linux Foundation Courses & Certifications COUPON CODE: CLOUDGURU 👉 Enroll here for CKAD: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067559_bfa5e6ace1397c69f68bfb64ff35fa1f 👉 Enroll here for CKA: https://training.linuxfoundation.org/certification/certified-kubernetes-administrator-cka/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067536_a1f91345cf951dbbbecaad9281bf8434 👉 Enroll here for CKS: https://training.linuxfoundation.org/certification/certified-kubernetes-security-specialist/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067517_4a35c19ecd7d600840ae4908a59308e7 👉 Enroll here for LFCS: https://training.linuxfoundation.org/certification/linux-foundation-certified-sysadmin-lfcs/?source=aw&sv1=affiliate&sv_campaign_id=2797056&awc=85919_1773067492_d86b426a144855a255c652e6d2c4816e 👉 Enroll here for all courses and certifications: https://www.awin1.com/cread.php?awinmid=85919&awinaffid=2797056 🔥 Join our Cloud Guru WhatsApp Community https://www.whatsapp.com/channel/0029Va8fH154IBhEu3t21y2o ☁️ Managed Cloud Hosting Deals 👉 Get CloudWays https://www.cloudways.com/en/?id=1365224 💥 CloudWays Coupon Code: CLOUDGURU25 Get 25% OFF for 3 months. 🚀 Try xCloud Hosting https://xcloud.host?fpr=cloudguru 💥 Get $200 FREE credits on signup. In this video you will learn: ✅ How Prometheus collects Kubernetes metrics ✅ How Grafana visualizes cluster observability data ✅ How to monitor pods, nodes, containers, and workloads ✅ Deploying monitoring tools inside AWS EKS clusters ✅ Building a real DevOps monitoring dashboard This tutorial is perfect for: • DevOps engineers • Cloud engineers • Kubernetes learners • SRE practitioners • Engineers preparing for AWS or Kubernetes certifications By the end of this video you will have a complete Kubernetes observability stack running on AWS. ⚡ Technologies covered Kubernetes (EKS) Prometheus monitoring system Grafana dashboards Kubernetes metrics & observability Timestamps: 00:00:44 - What is Kubernetes? (Overview with AWS EKS) 00:01:43 - What is a Container? 00:03:03 - What is a Virtual Machine (VM)? 00:04:06 - Difference between Containers and VMs 00:05:08 - How EC2 and Containers work together 00:06:07 - Why do we need Container Orchestration? 00:07:01 - Deep dive into Kubernetes 00:08:15 - Kubernetes Jargon: Clusters, Namespaces, and Nodes 00:10:24 - Control Plane vs. Worker Nodes 00:11:20 - Understanding Kubernetes Objects (YAML/JSON) 00:13:20 - Pods and Deployments explained 00:15:54 - Secrets and ConfigMaps for configuration 00:16:38 - Labels, Selectors, and Services 00:18:21 - Ingress and Ingress Controllers 00:20:43 - Kubernetes Architecture Deep Dive 00:25:45 - What is Amazon EKS? 00:26:56 - EKS Architecture and VPC Networking 00:29:27 - Demo: Exploring the EKS Cluster on AWS 00:35:06 - Demo: Deploying the "Animals" App (Namespace, Service, Ingress) 00:38:40 - Pod-to-Pod Communication and Service Discovery 00:42:31 - Path-based routing with Application Load Balancer (ALB) 00:47:30 - Demo: Cryptocurrency App (Secrets & Jobs) 01:00:42 - Introduction to Prometheus Monitoring 01:04:05 - Prometheus Features and Architecture 01:10:30 - Monitoring CAdvisor, Cube State Metrics, and Swagger Stats 01:21:02 - Setting up Grafana Dashboards for Kubernetes 01:25:08 - Importing and Customizing Grafana Dashboards 💬 Comment below: Do you prefer Prometheus + Grafana or Datadog / New Relic for Kubernetes monitoring? If you want the architecture diagram or YAML manifests, ask in the comments 👇 #kubernetes #devops #aws #prometheus #grafana #cloudcomputing #KubernetesMonitoring