System Design Codex's resource offers insights, tutorials, and resources for software architects and system designers. Readers can learn about system architecture patterns, scalability principles, and distributed computing concepts. With articles, case studies, and design principles, System Design Codex provides  guidance and expertise for designing robust and scalable software systems.

System Design Codex

Kubernetes offers three main scaling strategies for containerized applications: Horizontal Pod Autoscaling (HPA) increases or decreases pod replicas based on resource usage like CPU and memory; Vertical Pod Autoscaling (VPA) adjusts individual pod resource limits and requests; and Cluster Autoscaling manages the number of worker nodes in the cluster. HPA works best for stateless applications, VPA suits workloads with variable resource needs, and Cluster Autoscaler ensures infrastructure scales with demand. Each strategy addresses different scaling needs and can be combined for comprehensive auto-scaling solutions.

Kubernetes Scaling Strategies

Conclusion: Choose What Fits Your Workload