Kubernetes Autoscaling
Comprehensive autoscaling solution for Kubernetes using HPA (Horizontal Pod Autoscaler), VPA (Vertical Pod Autoscaler), and KEDA (Event-Driven Autoscaling) with kubectl-mcp-server tools for intelligent resource management and cost optimization.
🚀 Master Kubernetes autoscaling with HPA, VPA, and KEDA. Automatically adjust pod replicas based on CPU, memory, custom metrics, or external events. Scale your applications efficiently from zero to hundreds of instances without manual intervention.
💡 Perfect for handling variable traffic patterns, queue-based workloads, and scheduled spikes. Use HPA for steady metrics, KEDA for event-driven scenarios like AWS SQS, and VPA to optimize resource requests. Implement cron-based scaling for predictable demand patterns.
✨ Achieve significant cost savings by scaling to zero during idle periods and right-sizing resource allocations. Combine multiple scaling strategies for intelligent, responsive applications that adapt to real-world demands automatically.
Requirements
No additional requirements.