Welcome to Day 20!
In today’s session, we’ll dive deep into Kubernetes Autoscaling, covering both Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA)—crucial tools to make your applications elastic and resource-efficient.
We'll cover:
✅ How HPA scales pods horizontally based on CPU, memory, or custom metrics.
✅ How VPA adjusts CPU & memory requests dynamically based on actual usage.
✅ Pre-requisites like Metrics Server & Custom Metrics API for autoscaling.
✅ Hands-on demonstration of HPA & VPA in action.
💡 By the end of this lecture:
You’ll have a clear understanding of how Kubernetes handles scaling, how to configure autoscalers effectively, and how to make informed decisions about which autoscaler to use in production environments.
🔗 Stay Connected:
👉 LinkedIn: https://linkedin.com/in/varun-joshi-2b516752
👉 GitHub: https://github.com/CloudWithVarJosh
💬 Got questions? Drop them in the comments—I’ll reply ASAP! 😊
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00:00:00 - Introduction
00:00:29 - CKA Exam Curriculum Update
00:02:10 - What is Scaling?
00:11:07 - What is HPA?
00:19:29 - HPA Demo
00:29:18 - What is VPA?
00:29:50 - VPA Demo
00:40:04 - Outro
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