Alternative autoscalers for Kubernetes

Compared to the basic Kubernetes autoscaler, other autoscalers such as Kubernetes Eventdriven Autoscaling (KEDA) and Karpenter offer more flexibility and efficiency by managing resource scaling based on application-specific metrics and workloads. KEDA permits autoscaling based on events originating outside a cluster and at custom metrics. This is well suited for event-driven applications. On the other hand, Karpenter simplifies node provisioning and scaling by automatically adapting the node count based on workload demands, using your cluster resources efficiently and cost-effectively. Together, these tools enable fine-grained scaling control so that applications can adequately perform under variable load conditions.

Let us learn about these two common Kubernetes autoscaler tools in the coming sections.

KEDA

KEDA (https://keda.sh) is designed to enable event-driven scaling in Kubernetes by allowing you to scale the number of pod replicas...