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“CloudCheckr provides valuable insights and information to customers like Voyager Therapeutics. CloudCheckr CMx finds opportunities for cost optimization and includes robust features for billing and security best practices that we can bring to our customers.”
“I chose CloudCheckr because of the sheer level of transparency. Right up front, you’re given a list of things that you can do to modify or optimize your cloud infrastructure for considerable cost savings.”
CloudForecast is building a different type of cloud monitoring business, one that focuses on their customers and not on their shareholders. At CloudForecast, they believe that every team in an organization should have access to the best spend analysis without breaking the budget. They want your company to save money and they want to empower you to have all the tools you need to make informed decisions.
Spot by NetApp is changing the way that companies run in the cloud. Spot product suite uses innovative machine learning and analytics to automate and optimize cloud infrastructure, ensure that workloads and applications always have the best possible infrastructure--always available, always scalable and always at the lowest possible cost. Spot’s technology provides insights into cloud costs, recommendations for how to optimize utilization and costs, and automation to implement those recommendations in just a few clicks. Ideal for autoscaling applications, containers, Kubernetes and more, Spot products With over 1,500 customers, from startups to global enterprises, the results speak for themselves: up to 90% lower cloud compute costs, with fully automated scaling and infrastructure management and SLA-based availability. Proven products, outstanding customer satisfaction and a world-class team--that combination makes us the right Spot for companies and individuals looking to get the most out of the cloud.
Zesty is the first cloud management platform that leverages AI-driven automation to increase efficiency and reduce AWS spend by over 50%. platform automatically adjusts compute and storage resources to match real-time application needs, with no human input.
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