Scaling Getting Started

A comprehensive guide to getting started with scaling in your applications. Learn how to set up and manage scaling systems, including installation, configuration, and best practices. This guide covers topics such as performance scaling, load balancing, and resource management. Whether you're a beginner or an experienced user, this guide provides step-by-step instructions and practical examples to help you scale your applications effectively.

📄️ Horizontal Pod Autoscaler (HPA)

The Horizontal Pod Autoscaler (HPA) is a Kubernetes feature that automatically adjusts the number of pods in a deployment, replica set, or stateful set based on observed CPU/memory utilization or custom metrics. This guide provides an overview of HPA, its benefits, and how to configure it in a Kubernetes cluster.

📄️ Vertical Pod Autoscaler (VPA)

The Vertical Pod Autoscaler (VPA) is a Kubernetes feature that automatically adjusts the resource requests and limits of pods based on observed usage. This ensures that your applications have the resources they need to run efficiently without over-provisioning. This guide provides an overview of VPA, its benefits, and how to configure it in a Kubernetes cluster.

📄️ Karpenter

A Hands-On Tutorial for Setting Up Karpenter with AWS EKS

📄️ KEDA (Kubernetes Event-Driven Autoscaling)

KEDA (Kubernetes Event-Driven Autoscaling) is a Kubernetes-based component that provides event-driven autoscaling for workloads. It allows you to scale your applications based on custom metrics or external event sources, such as message queues, databases, or cloud services. This guide provides an overview of KEDA, its benefits, and how to configure it in a Kubernetes cluster.