Kubernetes HPA (Horizontal Pod Autoscaler) Explained | Scaling FastAPI, Django | DevOps Tutorial
In this video, you will learn how Kubernetes Horizontal Pod Autoscaler (HPA) works and how to scale your applications automatically based on CPU and memory usage. This is a must-know concept for DevOps Engineers and Backend Developers working with cloud-native applications.
🔥 What you will learn:
What is HPA in Kubernetes
Why auto scaling is important in production
Horizontal vs Vertical Scaling
Real-time demo using FastAPI / Django / Flask
Scaling based on CPU utilization
Best practices for production environments
📌 GitHub Code:
https://github.com/rajendraprasad10/d...
📌 Notes:
https://github.com/rajendraprasad10/k...
📞 Contact:
9063539124
⏱️ Video Chapters:
00:00 Introduction
01:10 What is Kubernetes HPA
03:25 Why Scaling is Important
05:40 Horizontal vs Vertical Scaling
08:15 HPA Architecture Explained
11:30 Metrics Server Setup
14:20 HPA YAML Explained
18:10 Deploy Demo Application (FastAPI/Django)
22:45 Load Testing & Scaling Demo
27:30 Troubleshooting HPA Issues
30:00 Production Best Practices
32:10 Conclusion
🔥 Use Cases Covered:
Scaling backend APIs (FastAPI, Django, Flask)
Handling high traffic automatically
Cost optimization in cloud environments
Microservices auto-scaling
💡 Who should watch:
DevOps Engineers
Backend Developers
Cloud Engineers
Kubernetes Beginners & Intermediate
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