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.

  • 1
    Google Compute Engine
    Google Compute Engine's auto scaling feature automatically adjusts the number of virtual machine instances in response to fluctuations in traffic or workload demands. This ensures that applications maintain optimal performance without manual intervention and helps to reduce unnecessary costs by scaling down when demand is low. Users can configure scaling policies based on specific criteria, such as CPU utilization or request rate, to further customize how resources are allocated. New customers receive $300 in free credits, enabling them to test and fine-tune auto scaling for their unique workloads.
    Starting Price: Free ($300 in free credits)
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  • 2
    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
  • 3
    Convox

    Convox

    Convox

    Convox is a powerful platform-as-a-service (PaaS) that simplifies deploying, scaling, and managing cloud applications by abstracting infrastructure complexity and letting teams focus on shipping code. It runs directly within your cloud account and integrates with major cloud providers such as AWS, Google Cloud, Azure, and DigitalOcean, giving you full control and cost efficiency while avoiding extra hosting fees. Convox supports seamless continuous integration and delivery pipelines, auto-scaling policies, and zero-downtime deployments, with tools for environment configuration, role-based access controls, and secure workflows. It includes a developer-friendly CLI, flexible deployment configuration, and integration with common tools like GitHub, GitLab, Slack, and monitoring services, streamlining workflows and boosting productivity. Convox also offers real-time monitoring, detailed logs, and one-click rollbacks for reliable performance and easier troubleshooting.
    Starting Price: Free
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