Pod Scheduling & Resource Boundaries | No.16 | Lesson 5-1 | Free CKA Kubernetes Full Course 2026 скачать в хорошем качестве

Pod Scheduling & Resource Boundaries | No.16 | Lesson 5-1 | Free CKA Kubernetes Full Course 2026

🚀 Kubernetes Mastery – Lesson 5-1: Pod Scheduling with Resource Boundaries How does Kubernetes decide where your Pods run? Behind every Pod creation is one of the most critical control plane components: the Kubernetes Scheduler. It evaluates resource availability, constraints, and policies to determine the best possible node for your workload. In this lesson, we dive deep into Resource Requests and Resource Limits — the foundation of intelligent scheduling and stable production systems. ━━━━━━━━━━━━━━━━━━ 📘 Course Structure This course consists of 8 structured lessons, each starting with a conceptual introduction followed by focused, hands-on videos. In Certified Kubernetes Administrator – Kubernetes Mastery: From Cluster Setup to Troubleshooting, you’ll learn how to: • Build and configure Kubernetes clusters from scratch • Manage workloads, Deployments, Pods, and core configurations • Master scheduling rules, node affinities, and automation tools • Expose applications using Services and Ingress • Configure storage and persistent volumes • Debug, troubleshoot, and fix real-world Kubernetes issues Through practical explanations and real-world architecture thinking, you’ll gain the confidence to operate production-ready clusters. ━━━━━━━━━━━━━━━━━━ 📚 Learning Agenda (This Video) Understanding the Kubernetes Scheduler: • How scheduling decisions are made • Why resource definitions directly affect placement Resource Requests (The “Ask”): • Guaranteed minimum CPU and memory • How the scheduler evaluates node capacity • What happens when no node satisfies the request Resource Limits (The “Ceiling”): • Runtime enforcement by kubelet • CPU throttling vs Memory OOMKill • Demonstrating OOMKill behavior with a live example Hands-On Demonstrations: • Multi-container Pod scheduling • Inspecting node capacity & allocatable resources • Simulating Memory OOMKill • Demonstrating CPU throttling effects Best Practice: • Why you must always define BOTH requests and limits • Understanding Burstable QoS ━━━━━━━━━━━━━━━━━━ 🧠 Why This Matters for CKA For the CKA exam — and real production environments — understanding: • How the scheduler uses requests • Why limits protect cluster stability • The difference between throttling and OOMKill is absolutely critical. Misconfigured resource boundaries can lead to: • Pods stuck in Pending • Node starvation • Unstable applications • Production outages ━━━━━━━━━━━━━━━━━━ 🧠 Want structured learning, PDFs & support? This YouTube series is part of a larger learning experience. 👉 Full course & materials: https://learn.darumatic.com/courses/k... ━━━━━━━━━━━━━━━━━━ 🏢 About Darumatic Darumatic is a cloud-native consultancy helping teams design, build, and operate modern cloud platforms with confidence. 🌐 https://darumatic.com/ ━━━━━━━━━━━━━━━━━━ 👍 If this helped you: • Like the video • Subscribe for the next lesson • Share with someone preparing for the CKA exam