32. Kubernetes Resource Requests & Limits Explained + Demo скачать в хорошем качестве

32. Kubernetes Resource Requests & Limits Explained + Demo

Kubernetes Resource Requests & Limits are key for stable workloads, preventing CPU throttling, OOM kills, and performance issues—so in this video, I break down how Kubernetes CPU/Memory Requests, Limits, QoS classes, and Scheduling actually work, followed by a simple live demo to help you understand Pod behavior in real clusters. You’ll learn how Kubernetes decides where to schedule Pods, why resource throttling happens, how to avoid crashes, and how to apply best practices for production environments using kubectl. ✔️ What are Requests & Limits? ✔️ How Kubernetes Scheduling works ✔️ QoS Classes (Guaranteed, Burstable, BestEffort) ✔️ Real Pod behavior demo ✔️ Tips to avoid throttling & OOM 🔥 Want more DevOps & Kubernetes tutorials? Subscribe for more! 👉 If this helps, please like 👍, subscribe, and share to support the channel! 🎓 Continue Learning with These Playlists : 🐧 Linux for Beginners (Start from scratch): 👉 [Watch the Playlist](   • Linux for Beginners 🐧  ) 💻 Linux Command Line Tutorials (Terminal-focused skills): 👉 [Explore Commands](   • Linux Command  ) 🚀 Kubernetes Series for Admins and Devs : 👉 [Start Learning Kubernetes](   • Kubernetes  ) 📌 Commands Used in This Video kubectl top pod kubectl apply -f resource-demo.yaml kubectl describe pod kubectl delete pod resource-demo kubectl describe node minikube | grep -A5 Capacity minikube start --cpus=4 --memory=4096 --driver=docker kubectl get pods -n kube-system | grep metrics minikube addons enable metrics-server Check QoS kubectl get pod qos-guaranteed qos-burstable qos-besteffort -o=custom-columns=NAME:.metadata.name,QOS:.status.qosClass 📚 Chapters 0:00 🎬 Intro to Requests and Limits 0:53 ❓ Why Resource Management Matters 2:01 📝 Resource Requests (The Minimum) 3:09 🚫 Resource Limits (The Maximum) 5:13 🆚 Request vs. Limit (Scheduling vs. Runtime) 6:33 📐 CPU and Memory Units Explained 7:58 💣 Cluster Chaos: The Danger of No Limits 9:29 🗺️ How Kubernetes Schedules Pods 10:51 🎖️ Quality of Service (QoS) Classes 12:14 🍕 Real-World Analogy (The Restaurant) 13:43 💻 Demo: Scheduling Plan 14:24 ⚙️ Demo: Setup and Normal Scheduling 15:38 📈 Demo: Check Node Capacity 16:35 📝 Info: Commands to Reduce CPU 18:57 💥 Demo: Force Pod to Pending State 20:25 🔎 Demo: Describe Pending Pod (Insufficient CPU) 20:55 ✅ Demo: Revert Request and Schedule Pod 22:15 📊 Demo: Check Pod Usage (kubectl top) 23:51 💡 Info: Metrics Server Requirement 25:15 🧹 Demo: Cleanup 1 💻 Demo: CPU Throttling 25:32 ⚡ Demo: CPU Throttling Setup 26:08 🚀 Demo: Apply Pod with Limit 26:26 ⏳ Demo: Generate Max CPU Load 27:07 📈 Demo: Observe Throttling with kubectl top 28:48 🛑 Demo: Stop Load and Cleanup 💻 Demo: OOM (Out-of-Memory) Kill 29:48 💀 Demo: OOM Kill Setup 30:05 🚀 Demo: Apply Pod with Low Memory Limit 31:02 🗑️ Demo: Observe OOM Kill and Crash Loop 32:19 📝 Demo: Describe Pod to Confirm OOM Reason 33:26 🧹 Demo: Cleanup 2 💻 Demo: QoS Classes 33:48 🎖️ Demo: Guaranteed QoS Pod 34:33 🥈 Demo: Burstable QoS Pod 35:09 🥉 Demo: Best Effort QoS Pod 35:36 🚀 Demo: Deploy All QoS Pods 36:38 🔎 Demo: Verify QoS Classes via Command 37:54 🧹 Demo: Cleanup 3 38:44 🏁 Final Recap and Best Practices 39:41 👋 Outro #Kubernetes #KubernetesTutorial #KubernetesScheduling