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