Debunking Apache Spark myths: Cluster autoscaling and resource utilization

The advent of cloud computing has brought the benefits of Cluster Autoscaling, which adjusts compute resources to match workload demands. However, it does not solve resource waste in Apache Spark applications.
This white paper examines the limitations of Cluster Autoscaling in addressing waste in Spark workloads. Key points include:
- Spark applications can waste 30% or more of resources, even with Cluster Autoscaling
- Cluster Autoscaling cannot validate or rationalize excessive resource requests from inefficient Spark applications
- Cluster Autoscaling is not a silver bullet for eliminating waste in the cloud
To learn more about optimizing Apache Spark performance, read the full white paper.