Best Auto Scaling Software

Compare the Top Auto Scaling Software as of May 2025

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
    StarTree

    StarTree

    StarTree

    StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. • Gain critical real-time insights to run your business • Seamlessly integrate data and batch data • High performance in throughput and low-latency at petabyte scale • Fully-managed cloud service • Tiered storage to optimize cloud performance & spend • Fully-secure & enterprise-ready
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  • 3
    RunPod

    RunPod

    RunPod

    RunPod offers a cloud-based platform designed for running AI workloads, focusing on providing scalable, on-demand GPU resources to accelerate machine learning (ML) model training and inference. With its diverse selection of powerful GPUs like the NVIDIA A100, RTX 3090, and H100, RunPod supports a wide range of AI applications, from deep learning to data processing. The platform is designed to minimize startup time, providing near-instant access to GPU pods, and ensures scalability with autoscaling capabilities for real-time AI model deployment. RunPod also offers serverless functionality, job queuing, and real-time analytics, making it an ideal solution for businesses needing flexible, cost-effective GPU resources without the hassle of managing infrastructure.
    Starting Price: $0.40 per hour
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  • 4
    AWS Auto Scaling
    AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.
  • 5
    VMware Avi Load Balancer
    Simplify application delivery with software-defined load balancers, web application firewall, and container ingress services for any application in any data center and cloud. Simplify administration with centralized policies and operational consistency across on-premises data centers, and hybrid and public clouds, including VMware Cloud (VMC on AWS, OCVS, AVS, GCVE), AWS, Azure, Google, and Oracle Cloud. Free infrastructure teams from manual tasks and enable DevOps teams with self-service. Application delivery automation toolkits include Python SDK, RESTful APIs, Ansible and Terraform integrations. Gain unprecedented insights, including network, end users and security, with real-time application performance monitoring, closed-loop analytics and deep machine learning.
  • 6
    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
  • 7
    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
  • 8
    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.
  • 9
    Xosphere

    Xosphere

    Xosphere

    Xosphere Instance Orchestrator automatically performs spot optimization by leveraging AWS Spot instances to optimize the cost of your infrastructure while maintaining the same level of reliability as on-demand instances. Spot instances are diversified amongst family, size, and availability zones to minimize any impact when Spot instances are reclaimed. Instances utilizing reservations will not be replaced by Spot instances. Automatically respond to Spot termination notifications and fast-track replacement on-demand instances. EBS volumes can be configured to be attached to new replacement instances enabling stateful applications to work seamlessly.
  • 10
    Zerops

    Zerops

    Zerops

    Zerops.io is a cloud platform designed for developers building modern applications, offering automatic vertical and horizontal autoscaling, granular control over resources, and no vendor lock-in. It simplifies infrastructure management with features like automated backups and failover, CI/CD integration, and full observability. Zerops.io scales seamlessly with your project’s needs, ensuring optimal performance and cost-efficiency from development to production, all while supporting microservices and complex architectures. Ideal for developers who want flexibility, scalability, and powerful automation without the complexity.
    Starting Price: $0
  • 11
    Alibaba Auto Scaling
    Auto Scaling is a service to automatically adjust computing resources based on your volume of user requests. When the demand for computing resources increase, Auto Scaling automatically adds ECS instances to serve additional user requests, or alternatively removes instances in the case of decreased user requests. Automatically adjusts computing resources according to various scaling policies. Supports manual scale-in and scale-out, which offer you flexibility to control resources manually. During peak periods, automatically adds additional computing resources to the pool. When user requests decrease, Auto Scaling automatically releases ECS resources to cut down your costs
  • 12
    Amazon EC2 Auto Scaling
    Amazon EC2 Auto Scaling helps you maintain application availability and lets you automatically add or remove EC2 instances using scaling policies that you define. Dynamic or predictive scaling policies let you add or remove EC2 instance capacity to service established or real-time demand patterns. The fleet management features of Amazon EC2 Auto Scaling help maintain the health and availability of your fleet. Automation is vital to efficient DevOps, and getting your fleets of Amazon EC2 instances to launch, provision software, and self-heal automatically is a key challenge. Amazon EC2 Auto Scaling provides essential features for each of these instance lifecycle automation steps. Use machine learning to predict and schedule the right number of EC2 instances to anticipate approaching traffic changes.
  • 13
    UbiOps

    UbiOps

    UbiOps

    UbiOps is an AI infrastructure platform that helps teams to quickly run their AI & ML workloads as reliable and secure microservices, without upending their existing workflows. Integrate UbiOps seamlessly into your data science workbench within minutes, and avoid the time-consuming burden of setting up and managing expensive cloud infrastructure. Whether you are a start-up looking to launch an AI product, or a data science team at a large organization. UbiOps will be there for you as a reliable backbone for any AI or ML service. Scale your AI workloads dynamically with usage without paying for idle time. Accelerate model training and inference with instant on-demand access to powerful GPUs enhanced with serverless, multi-cloud workload distribution.
  • 14
    Syself

    Syself

    Syself

    Managing Kubernetes shouldn't be a headache. With Syself Autopilot, both beginners and experts can deploy and maintain enterprise-grade clusters with ease. Say goodbye to downtime and complexity—our platform ensures automated upgrades, self-healing capabilities, and GitOps compatibility. Whether you're running on bare metal or cloud infrastructure, Syself Autopilot is designed to handle your needs, all while maintaining GDPR-compliant data protection. Syself Autopilot integrates with leading DevOps and infrastructure solutions, allowing you to build and scale applications effortlessly. Our platform supports: - Argo CD, Flux (GitOps & CI/CD) - MariaDB, PostgreSQL, MySQL, MongoDB, ClickHouse (Databases) - Grafana, Istio, Redis, NATS (Monitoring & Service Mesh) Need additional solutions? Our team helps you deploy, configure, and optimize your infrastructure for peak performance.
    Starting Price: €299/month
  • 15
    Lucidity

    Lucidity

    Lucidity

    Lucidity is a multi-cloud storage management platform that dynamically resizes block storage across AWS, Azure, and Google Cloud without downtime, enabling enterprises to save up to 70% on storage costs. Lucidity automates the expansion and contraction of storage volumes based on real-time data demands, ensuring optimal disk utilization between 75-80%. This autonomous, application-agnostic solution integrates seamlessly with existing applications and environments, requiring no code changes or manual provisioning efforts. Lucidity's AutoScaler is available on the AWS Marketplace, offering enterprises an automated solution to expand and shrink live EBS volumes based on workload without downtime. By streamlining operations, Lucidity enables IT and DevOps teams to reclaim hundreds of hours, allowing them to focus on higher-impact initiatives that drive innovation and efficiency.
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Guide to Auto Scaling Software

Auto scaling software is a form of cloud computing that enables organizations to scale their IT infrastructure based on workloads. The software allows for quick and efficient deployment of new resources as needed, while also reducing costs due to its ability to automatically adjust the number of servers used in response to changes in demand. This type of software works by closely monitoring the performance of an application or system, detecting when more or less capacity is needed. When it detects a change, it will trigger an automated process that adds or removes resources as necessary.

The benefits of auto-scaling are numerous. By using auto-scaling, businesses can save time and money while increasing efficiency through improved performance and reduced downtime. Additionally, since the system is able to respond quickly to changing demands, organizations don't need to manually provision for additional resources ahead of time — saving them from having unused capacity sitting idle when not needed. Auto-scaling also helps ensure that applications remain available under high load conditions by ensuring that enough capacity exists at all times. Finally, auto-scaling makes it easier for companies to keep their costs down by only using the amount of compute power they actually need at any given moment instead of having excess capacity just “in case” there are unexpected increases in usage.

Overall, auto-scaling is an extremely useful tool for any organization looking to maximize the utilization and efficiency of their IT infrastructure while reducing costs without sacrificing reliability and performance.

What Features Does Auto Scaling Software Provide?

  • Automatic Scaling: Auto scaling software provides the ability to automatically scale up or down according to pre-defined parameters, such as time of day, resource utilization, application performance and other related criteria. This ensures that the right amount of resources are provisioned at any given time for optimal performance and cost efficiency.
  • Self-Healing: Auto scaling software is equipped with self-healing capabilities which enable it to react quickly when anomalies are detected in an application’s performance or availability. It can detect problems in real-time and make necessary adjustments according to pre-defined parameters without manual intervention.
  • Load Balancing: Auto scaling software also provides load balancing capabilities which allow for consistent distribution of workload across multiple resources. This helps ensure peak performance while keeping costs down by minimizing overprovisioning of resources.
  • Automation: Auto scaling software automates many of the mundane tasks associated with managing cloud infrastructure such as configuring servers, deploying applications and managing updates. This allows IT teams to focus on more value added activities and be more productive by saving time spent on repetitive tasks.
  • Cost Optimization: Auto scaling software helps to optimize costs by dynamically allocating resources based on demand. This eliminates the need for manual capacity planning and allows organizations to adjust their cloud infrastructure in real time based on actual usage patterns.
  • Monitoring & Alerts: Auto scaling software provides a comprehensive monitoring and alerting infrastructure which allows IT teams to proactively monitor their cloud environment and be instantly notified of any issues or anomalies that may arise. This allows them to react quickly and resolve any issues before they become a bigger problem.

What Types of Auto Scaling Software Are There?

  • Dynamic Scaling: Dynamic scaling is a type of auto scaling solution that enables the system to automatically adjust the number of resources allocated to an application or service, based on changing usage. This type of software can help ensure that the right amount of resources are available at all times for applications and services without manual intervention.
  • Predictive Scaling: Predictive scaling is another type of auto scaling that uses predictive analytics to anticipate future resource needs and scale accordingly. This type of software can be used to optimize capacity planning and reduce operational costs by making sure only the necessary resources are allocated when needed.
  • Step Scaling: Step scaling is another form of auto scaling in which servers are scaled up or down incrementally, usually according to pre-defined conditions. This allows businesses to save money by using fewer resources than required when demand is low, while still having ample capacity to handle spikes in demand.
  • Scheduled Scaling: Scheduled scaling is a type of auto scaling that enables businesses to specify specific times when they want their applications or services scaled up or down in order to meet certain goals. This method is useful for companies who need additional capacity on certain days but don’t need it all the time and would prefer not to pay for unused computing power during quieter periods.
  • Event-Based Scaling: Event-based scaling is an auto scaling solution that triggers a scale up or scale down event when certain conditions are met. This type of software can be used to react quickly to changing workloads and make sure that the right resources are allocated in real-time when needed.

What Are the Benefits Provided by Auto Scaling Software?

  • Flexible Scaling: Auto scaling software gives you the flexibility to scale your infrastructure up or down based on the changing demands of users. This way, you are able to speed up performance and reduce costs at the same time.
  • Improved Performance: Auto scaling software will use algorithms to determine when resources need to be scaled up or down, ensuring that performance remains optimal no matter how much traffic your business receives or what tasks it is trying to perform. As a result, applications and websites can respond quickly and reliably in any situation.
  • Cost Savings: By automatically scaling down unused resources when demand decreases, auto scaling software helps companies save money on their monthly operational expenses. In addition, if a system fails due to unexpected spikes in usage, auto-scaling will help ensure that those systems don’t stay offline for too long so businesses don’t suffer from extended downtime periods.
  • Increased Reliability: With auto scaling software in place, server capacity can be adjusted depending on the workloads it has to process in order to keep applications running smoothly and efficiently even during peak times of usage. This helps businesses maintain high levels of reliability while simultaneously providing them with cost savings.
  • Better Disaster Recovery: Auto scaling ensures that the right amount of resources are available during disaster recovery scenarios by quickly provisioning new servers as needed without manual intervention from IT teams. This makes disaster recovery scenarios less stressful and more efficient so applications can get back online faster after an event occurs.

Who Uses Auto Scaling Software?

  • Small Business Owners: Owners of small businesses can benefit from auto scaling software to ensure their system is as efficient and cost-effective as possible.
  • Cloud Service Providers: Auto scaling software allows cloud service providers to instantly respond to customer demands, scale up or down depending on the number of users, and adjust accordingly.
  • System Administrators: System administrators are able to configure the auto scaling settings, enabling them to quickly adjust system resources based on application needs while minimizing costs.
  • DevOps Teams: DevOps teams use auto scaling software to automate processes in order to improve workflow efficiency and reduce manual labor.
  • Data Analysts: Data analysts leverage the power of auto scaling software to analyze large data sets efficiently, ensuring accuracy and better insights into customer behavior.
  • Security Professionals: Security professionals utilize auto scaling software features such as resource monitoring and logging for comprehensive threat detection and prevention.
  • Mobile Application Developers: By using auto scaling software, mobile app developers are able to scale up their applications quickly in response to user demand. This helps them deliver an optimal experience for their customers with minimal delay or disruption.
  • Web Application Developers: Auto scaling software enables web application developers to adjust resources on-the-fly, ensuring that web applications can respond efficiently to changing user demand while minimizing downtime.
  • Media Production Teams: Auto scaling software makes it easier for media production teams to quickly scale up resources when needed in order to deliver content faster.

How Much Does Auto Scaling Software Cost?

The cost of auto scaling software can vary depending on many factors such as the features you need, the complexity of your project, and the size of your team. For small businesses looking for basic functions, you may be able to find a free or open source option that meets your needs. However, if you have more complex requirements, such as customizability or scalability, then you may need a paid solution.

More sophisticated solutions with advanced features and managed services can range anywhere from $20 to $500 per user per month depending on your specific needs. Many companies also charge extra for additional services such as training and support. Furthermore, some providers offer discounts based on usage or customized pricing plans for large-scale deployments. Ultimately, the cost of auto scaling software depends on your particular needs and budget.

What Does Auto Scaling Software Integrate With?

Auto scaling software can integrate with a variety of different types of software, such as cloud monitoring and alerting tools, load balancers, and server provisioning systems. Cloud monitoring tools help an organization detect changes in network resources such as servers or databases. Alerts generated by these tools can trigger auto scaling resources in response to unexpected demand. Load balancing software helps organize traffic over multiple nodes of application or database infrastructure so requests are distributed evenly. Finally, server provisioning systems automate the process of setting up servers on demand. By integrating with auto scaling software, they ensure new nodes are ready when needed to accommodate surges in traffic or usage.

Auto Scaling Software Trends

  • Auto scaling software is used to automatically increase or decrease the computing capacity of an application in order to meet current demand.
  • It works by monitoring application performance metrics such as CPU utilization, memory usage, and network traffic.
  • When a metric exceeds a preset threshold, the auto scaling software will respond by adding or removing resources dynamically.
  • This helps to ensure that applications maintain consistent performance while also reducing costs associated with provisioning static server environments.
  • Auto scaling solutions can be integrated with cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) in order to provide automated scaling capabilities for applications running on these platforms.
  • The trend of auto scaling solutions is continuing to grow due to its ability to reduce costs associated with managing and optimizing server resources manually.
  • Benefits include improved application performance and increased scalability, allowing organizations to better accommodate sudden spikes in user activity without needing additional infrastructure investments.
  • Additionally, auto-scaling software provides robust monitoring capabilities which can be used for troubleshooting any issues that may arise during the scaling process.

How To Select the Best Auto Scaling Software

  1. Consider your business needs: Before choosing the right auto scaling software, you need to assess your business needs and requirements. Determine what kind of scaling you are looking for and ask yourself how much control do you need over the scale-up process?
  2. Identify features: Once you have a better understanding of your needs, make a list of features you require in a auto scaling software so that it can fulfill all your requirements. Do some research on available tools to see which ones offer the best combination of features and cost.
  3. Compare prices: Different tools come with different price tags so look at several vendors and compare their prices before making a decision. Make sure you check the fine print for any hidden costs or fees that may be associated with using an auto-scaling software.
  4. Test it out: After narrowing down your choices, test each software out by running simulations to see how well they perform in various scenarios. If possible, talk to other users who have experience with the products in order to get their opinion about its performance and efficacy.
  5. Read reviews: Take time to read online reviews from third-party sources regarding an auto-scaling product's experience and performance levels before making a final decision on which one is right for you.
  6. Pick the best one: After assessing all of your options, select the auto scaling software that best fits your business needs and budget. Ensure that you have a comprehensive understanding of how it works, its features and cost structure before making a purchase decision.

On this page you will find available tools to compare auto scaling software prices, features, integrations and more for you to choose the best software.