Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Scaling a Kubernetes cluster effectively requires careful planning and execution to ensure that your applications remain performant, resilient, and cost-efficient. Below are key considerations and strategies for scaling a Kubernetes cluster: 1. Scale Nodes (Cluster Autoscaling) Cluster Autoscaler: – What it does: Automatically adjusts the number of nodes in your cluster based on workload demands. […]
Auto-scaling in Kubernetes is a feature that allows your workloads to dynamically adjust their resource allocation based on demand. It helps optimize resource usage, reduce costs, and improve application performance. To implement auto-scaling in Kubernetes, you need to leverage features like the Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), and Cluster Autoscaler. Here’s a […]
Implementing custom metrics in Kubernetes Horizontal Pod Autoscaler (HPA) allows you to scale your application based on metrics that are specific to your use case rather than default metrics like CPU or memory usage. Here’s a step-by-step guide to implementing custom metrics for HPA: 1. Understand HPA and Custom Metrics HPA relies on the Kubernetes […]
