Apptio, an IBM company, has launched new FinOps solutions under IBM Cloudability and IBM Kubecost to help enterprises manage and optimise cloud investments in increasingly AI-driven environments. The new tools aim to give organisations clearer visibility, control, and accountability over cloud spending as artificial intelligence reshapes infrastructure demands.
Meeting the financial challenges of AI
As businesses accelerate their AI initiatives, managing rising cloud costs has become a growing concern. IDC forecasts that global enterprise spending on AI infrastructure will hit US$571 billion by 2026. However, an Apptio survey found that 55% of business leaders still lack the data needed to evaluate technology investments effectively.
FinOps has emerged as a key framework to address these challenges by bringing together finance, engineering, and operations teams to optimise cloud costs while maintaining agility. The new Apptio solutions aim to strengthen this framework by integrating financial intelligence directly into cloud workflows.
“Generative AI is not only pushing the limits of cloud infrastructure; it’s challenging the ability of technology and business leaders to make informed decisions and evaluate tech spend ROI,” said Eugene Khvostov, Chief Product Officer at Apptio. “It’s imperative for organisations to gain control over their cloud and data estate. That’s the first step in harnessing the AI opportunity and exactly what our new FinOps solutions are designed to address – proactive and predictive cloud cost management.”
Cloudability Governance brings proactive cost control
Apptio’s Cloudability Governance now integrates with HashiCorp Cloud Platform (HCP) and HashiCorp Terraform to deliver cost governance at every stage of cloud deployment. The solution enables FinOps and engineering teams to forecast and comply with internal financial policies before infrastructure is deployed.
By combining automation and embedded compliance checks, Cloudability Governance allows teams to manage infrastructure as code while maintaining financial oversight. Organisations can set predefined policies, ensure consistent tagging, and access real-time insights into potential cost implications. AI-powered recommendations also help identify inefficiencies and reduce waste before and after deployment.
Armon Dadgar, CTO and co-founder of HashiCorp, said, “Our customers want accurate, real-time visibility into the cost implications of the infrastructure they manage and deploy with HashiCorp Terraform. With native bi-directional integration between HashiCorp Terraform and Cloudability, engineers gain visibility into infrastructure costs, embedded governance checks, and optimisation opportunities directly within their workflows.”
Kubecost 3.0 redefines Kubernetes cost management
Apptio has also released Kubecost 3.0, a major upgrade to its Kubernetes cost management platform. The latest version enhances visibility across clusters and offers deeper analytics to help teams better manage resource allocation and operational spending.
Kubecost 3.0 introduces unified resource management, advanced GPU monitoring powered by NVIDIA’s DCGM exporter, and automated container right-sizing. These features are designed to help teams identify inefficiencies, improve performance, and scale securely across complex cloud environments. Enhanced scalability and security capabilities also ensure enterprises can expand their Kubernetes workloads while maintaining control and compliance.
Both solutions highlight Apptio’s commitment to enabling enterprises to integrate financial accountability into cloud operations. With AI driving up infrastructure complexity, Apptio’s FinOps suite aims to bridge the gap between innovation and financial governance.
Cloudability Governance integration with HCP and Terraform Enterprise is now available in public preview, while Kubecost 3.0 is generally available. Apptio will showcase the new solutions at the annual TBM Conference and at KubeCon North America, where it will demonstrate how organisations can leverage FinOps for business advantage.
