Best Cloud Management Software

Compare the Top Cloud Management Software as of November 2025

What is Cloud Management Software?

Cloud management software refers to tools that simplify the deployment, management, and optimization of cloud resources and services. These platforms provide centralized control over cloud infrastructure, helping organizations monitor and manage public, private, and hybrid cloud environments. Key features often include cost management, resource provisioning, scaling, performance monitoring, and security management. By using cloud management software, organizations can optimize their cloud usage, reduce costs, and ensure compliance with industry standards. These tools often integrate with cloud service providers like AWS, Azure, and Google Cloud, allowing for seamless management across multiple cloud platforms. Compare and read user reviews of the best Cloud Management software currently available using the table below. This list is updated regularly.

  • 1
    Google Compute Engine
    Google Compute Engine offers comprehensive cloud management tools that provide users with control and visibility over their cloud infrastructure. These tools allow administrators to monitor the health of virtual machines, configure resources, automate deployment processes, and track billing and usage metrics. By utilizing Google Cloud's built-in tools, organizations can maintain operational efficiency while keeping costs under control. New customers can take advantage of $300 in free credits to explore and implement cloud management features, optimizing the performance and cost-effectiveness of their virtual environments.
    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
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