Kubernetes Resource Requests & Limits Explained in Tamil | CPU & Memory Control
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Kubernetes Resource Limit and Resource Request:
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In this video, we will understand Kubernetes Resource Requests and Resource Limits with a real-world production scenario explained in Tamil.
🔹 Many times in Kubernetes, applications suddenly become slow even though they were working fine earlier.
🔹 This video explains why that happens and how Resource Requests & Limits solve this problem.
🔍 Scenario Explained in This Video
👉 We have:
One Spring Boot Java application
One Python application
Both deployed in the same Kubernetes cluster
Initially, everything works fine.
Suddenly, the Python application becomes very slow.
❓ Why?
Java application starts consuming more CPU & Memory
Possible memory leak
Python pod doesn’t get enough resources
Kubernetes scheduler still schedules new pods on the same node 🤯
🛠 Solution: Resource Requests & Resource Limits
✅ Resource Requests
Minimum CPU & Memory required for a Pod
Scheduler checks availability before scheduling
Prevents Pods from being scheduled on overloaded nodes
✅ Resource Limits
Maximum CPU & Memory a Pod can use
If memory exceeds → Pod gets Killed & Restarted
Protects other Pods from disturbance
🚀 Why This Is Important?
✔ Prevents one Pod from affecting others
✔ Avoids unexpected slowdowns
✔ Mandatory for production-grade Kubernetes applications
✔ Very important for DevOps & Kubernetes interviews
📌 Topics Covered
Kubernetes Resource Requests
Kubernetes Resource Limits
CPU & Memory Management
Scheduler Behavior
Real-time Production Issue
Best Practices