Kubecost, the comprehensive solution for monitoring, managing, and optimizing Kubernetes spend at scale, has announced Kubecost 2.0. The release provides new tools and capabilities purpose-built to monitor and optimize Kubernetes-related cloud expenses even more easily and significantly—including for large-scale enterprises in the Fortune 100 and in complex and multi-cloud environments.

Highlights of Kubecost 2.0 include:

Advanced network monitoring: Newly released Kubecost network monitoring enables teams to see Kubernetes network expenses—traditionally a mysterious area that complicates identifying the reasons behind unexpected network cost increases. Enterprises typically achieve substantial cost reductions between 30-50% and avoid unexpected cost surges by gaining insight into network expenses.

Collections: Unified reporting empowers teams to manage chargeback and showback processes across multi-cloud and Kubernetes environments. This approach simplifies cost distribution, reducing unnecessary expenditure tracking. Enhanced visibility through unified reporting and analysis facilitates well-informed decisions and strategic plans guided by observed consumption patterns.

Kubecost Actions: This functionality addresses the challenge of manual intervention within Kubernetes-based optimization workflows and allows users to run automation that can save them money on their Kubernetes spend in just a couple of clicks. By providing a dedicated “Actions” page, Kubecost users can easily view, create, and audit automation workflows. The tool simplifies executing actions such as dynamic request right-sizing, continuous right-sizing, cluster turndown, and spot management, saving time and ensuring consistent optimization practices.

Cost forecasting: Improved forecasting for cloud and Kubernetes spending allows FinOps and engineering teams to build out cost projections for different timeframes and entities easily. Powered by machine learning, this tool enables informed decisions, optimization exploration, and financial stability, supported by enhanced visibility from unified reporting and analysis.

Anomaly detection: Anomaly detection alerts teams to budget overages and optimization changes by flagging spend anomalies—enabling swift action to cloud and Kubernetes environments. These alerts are necessary to notice spending deviations that can quickly cause cost overruns.

Improved real-time cost estimation: Kubecost will now dynamically adapt real-time cost estimations to include resource discounts, enhancing budgeting accuracy and decision-making. This unique approach aligns closely with reconciled costs, addressing discrepancies and ensuring precise financial planning, a key differentiator in cost management.