Autoscale Applications with KEDA and Prometheus Scalerautoscaling

To use Kubernetes Event-Driven Autoscaling (KEDA) along with Prometheus to scale applications in Kubernetes cluster Applications running inside the Kubernetes cluster need to be scaled according to the load it encounters with. Scaling is an important process for better performance of the application. Kubernetes provides Horizontal Pod Autoscaler (HPA) to scale applications with the help of resource […]

AutoScaling in Kubernetes

To know about autoscaling and its types in Kubernetes Allocating resources to pods running inside the Kubernetes cluster is challenging as it gives rise to the questions such as how much CPU and RAM to allocate to pods for high performance and how to create enough replicas of these pods to handle the incoming load. For […]

Introduction To KEDA

To learn about Kubernetes Event-Driven Autoscaling (KEDA) Autoscaling is one of the important features of Kubernetes and Horizontal Pod Autoscaler (HPA) comes to mind when pods need to be scaled on the basis of CPU and memory consumption. You can find out more about autoscaling and HPA through our Autoscaling in Kubernetes hands-on lab. HPA is a […]