IBM acquires Kubecost
IBM has acquired Kubecost to improve hybrid cloud cost management and enhance its FinOps suite, providing real-time cost visibility for Kubernetes environments, following its earlier purchase of Apptio.
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IBM has announced its acquisition of Kubecost, a company specializing in Kubernetes cost monitoring and optimization software. This move aims to enhance IBM's hybrid cloud cost management capabilities, particularly as the use of Kubernetes continues to rise, with 84% of organizations currently utilizing or assessing the technology. The acquisition aligns with IBM's commitment to the FinOps framework, which focuses on maximizing the business value of cloud resources. By integrating Kubecost into its FinOps suite, IBM enhances its offerings that already include IBM Cloudability and IBM Turbonomic, providing comprehensive solutions for cloud cost management and performance optimization. Kubecost enables real-time visibility into infrastructure spending, helping organizations reduce costs and avoid over-provisioning in Kubernetes environments. This acquisition follows IBM's earlier purchase of Apptio in 2023, further solidifying its strategy to streamline cloud financial management and operational efficiency. Founded in 2019 and based in San Francisco, Kubecost is led by co-founders Webb Brown and Ajay Tripathy.
- IBM acquires Kubecost to enhance hybrid cloud cost management.
- The acquisition supports the growing use of Kubernetes in organizations.
- Kubecost provides real-time cost visibility and optimization for Kubernetes environments.
- This move strengthens IBM's FinOps suite, integrating with existing tools like IBM Cloudability.
- The acquisition follows IBM's purchase of Apptio, emphasizing its focus on cloud financial management.
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5 commentsDo you need a tool to tell you that your company underpays or is bad at recruiting? Or maybe that you do something boring that people don't want to work for?
IMO Keda is the more important product in this space, because it translates business requirements like max queue wait time into compute resources.
If you are operating in a way where small cost differences decide if you are break even if you have already failed, no amount of "FinOps" will stop your trend from going to zero. It is delaying the inevitable.
In a nutshell, any K8S deployment on-premises tends to be inherently optimized, saving a significant amount of time and resources. I have new servers and old servers in the same cluster, that is epic.
Modern FinOps often feels like a frustrating exercise: Should I choose 2x 2XXL instances or 4x 8XL instances? The conversation rarely focuses on optimizing software performance or database efficiency. Instead, the cloud has turned into a maze of cost centers, where it’s easy to get lost in ‘managing’ the cloud rather than building valuable products for end users.
R.I.P. Kubecost
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