Compare CAST AI vs. Eco in 2026

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Description

CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more. What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized. The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine. CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure. Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.

Description

Automated Optimization for AWS Savings Plans and Reserved Instances streamlines the entire process of planning, purchasing, and enhancing your cloud commitments portfolio. Eco facilitates the lifecycle management of reserved instances, crafting a cloud commitment portfolio that is both high in return on investment and low in risk, tailored to your current and future requirements. By pinpointing and liquidating unused capacity while acquiring suitable short-term, third-party reservations from the AWS Marketplace, Eco allows you to reap the benefits of long-term pricing without being tied down financially. This approach ensures that you achieve the highest possible return on investment from your cloud commitment purchases through thorough analysis, adjustments, and alignment of unutilized reserved instances and Savings Plans with resource demands. Additionally, Eco automates purchasing strategies for reserved instances throughout their lifecycle in the AWS Marketplace, guaranteeing that workloads are perpetually operating at the best pricing. Collaboration between Finance and DevOps teams is enhanced by providing full transparency into compute consumption and automating the selection of optimal reserved instances, ultimately leading to a more efficient cloud resource management process. With these capabilities, organizations can adapt more swiftly to changing needs while optimizing their cloud expenditure.