Best Auto Scaling Software for AWS Marketplace

Pepperdata autonomous, application-level cost optimization delivers 30-47% greater cost savings for data-intensive workloads such as Apache Spark on Amazon EMR and Amazon EKS with no application changes. Using patented algorithms, Pepperdata Capacity Optimizer autonomously optimizes CPU and memory in real time with no application code changes. Pepperdata automatically analyzes resource usage in real time, identifying where more work can be done, enabling the scheduler to add tasks to nodes with available resources and spin up new nodes only when existing nodes are fully utilized. The result: CPU and memory are autonomously and continuously optimized, without delay and without the need for recommendations to be applied, and the need for ongoing manual tuning is safely eliminated. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing Spark utilization, and freeing developers from manual tuning to focus on innovation.

The Xosphere Instance Orchestrator enhances cost efficiency through automated spot optimization by utilizing AWS Spot instances, ensuring that the infrastructure remains as reliable as on-demand instances. By diversifying Spot instances across different families, sizes, and availability zones, it minimizes potential disruptions caused by the reclamation of these instances. Instances that are backed by reservations will not be substituted with Spot instances, preserving their intended use. Additionally, the system is designed to automatically respond to Spot termination notifications, allowing for expedited replacement of on-demand instances. Furthermore, EBS volumes can be configured to attach seamlessly to newly provisioned replacement instances, facilitating uninterrupted operation of stateful applications. This orchestration ensures a robust infrastructure while optimizing costs effectively.