CAST AI combines AI-driven cloud cost monitoring, management and security insights for Kubernetes. The platform aims to cut the user's cloud bill in half, boost the power of DevOps 10X, and guarantee business continuity by preventing downtime.
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IBM Kubecost
Score7.7 out of 10
N/A
IBM Kubecost is a self-hosted Kubernetes cost visibility and optimization platform that provides real-time insights to help teams reduce cloud spend and scale cost efficiently.
Senior Consultant in Information Technology at Atlassian India LLP (Information Technology & Services, 5001-10,000 employees)
Chose IBM Kubecost
Among competitors, IBM Kubecost offers deeper insights into cluster metrics. It offers the highest data privacy, as the data stays in your private infrastructure. Although it can't provide Non-K8s cost insights, it still offers some insights based on tags, which is better than …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have a Kubernetes cluster spread across multiple cloud providers, including AWS, Google, and Azure. Kubecost consolidates data from all the providers and gives us insights. So instead of jumping between individual dashboards, Kubecost shows everything in one place. It helps us in right-sizing the cluster, which directly saves us costs. Although it gives us cluster insights, we still need to take action manually. It also provides insight into the Kube cluster only, but actual costs depend on other components as well, including databases, storage, etc.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our engineers liked the devops dashboard and the initial deployment was very fast which meant the cost-allocation data was available right after deployment which the team further customized and enhanced based on our needs. Version 3.0 fixed a lot of concerns with the backend responsiveness, especially when running heavy multi-cluster api calls
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Among competitors, IBM Kubecost offers deeper insights into cluster metrics. It offers the highest data privacy, as the data stays in your private infrastructure. Although it can't provide Non-K8s cost insights, it still offers some insights based on tags, which is better than any other product.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Given that we are going through a cloud transformation journey, IBM Kubecost has helped reduce the infra cost by up to 20% by detecting any wrong configuration early in the process
It also helped us determine the idle and orphaned resources that we could cleanup to save costs
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
