Best Auto Scaling Software

Compare the Top Auto Scaling Software as of April 2026

What is Auto Scaling Software?

Auto scaling software helps to optimize the performance of cloud applications. It works by automatically increasing or decreasing the number of underlying resources such as virtual machines, server capacity and storage upon detecting changes in workloads. It allows applications to dynamically scale up or down depending on traffic patterns while keeping costs minimized. Auto scaling is particularly useful when there are predictable changes in application demand over time and for applications with negative elasticity, where additional load can cause a decrease in performance. It has become an essential tool for many organizations utilizing cloud service platforms due to its ability to manage application availability, scalability and performance. Compare and read user reviews of the best Auto Scaling software currently available using the table below. This list is updated regularly.

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    StormForge

    StormForge

    StormForge

    StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing. Organizations see immediate benefits from the reduction of wasted resources — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.
    Starting Price: Free
  • 2
    CAST AI

    CAST AI

    CAST AI

    CAST AI is an automated Kubernetes cost monitoring, optimization and security platform for your EKS, AKS and GKE clusters. The company’s platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, and improving performance and reliability to boost DevOps and engineering productivity.
    Starting Price: $200 per month
  • 3
    Pepperdata

    Pepperdata

    Pepperdata, Inc.

    Pepperdata autonomous cost optimization for data-intensive workloads such as Apache Spark is the only solution that delivers 30-47% greater cost savings continuously and in real time with no application changes or manual tuning. Deployed on over 20,000+ clusters, Pepperdata Capacity Optimizer provides resource optimization and full-stack observability in some of the largest and most complex environments in the world, enabling customers to run Spark on 30% less infrastructure on average. In the last decade, Pepperdata has helped top enterprises such as Citibank, Autodesk, Royal Bank of Canada, members of the Fortune 10, and mid-sized companies save over $250 million.
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