Cloud promised infinite scale. It delivered, along with cloud bills that grew just as quickly.

In response, organizations turned to FinOps. What started as a way to manage cloud spend has evolved into a cross-functional discipline focused on maximizing the business value of the cloud. Leading platforms like IBM Cloudability empower FinOps teams to understand, allocate, and optimize spend across increasingly complex environments.

But cloud architecture has not stood still. As enterprises modernized applications and adopted Kubernetes, the drivers of cost moved deeper into the stack. Containerized workloads, resource requests, GPU allocation, and cross-cluster networking now shape the economics of cloud operations.

That shift also changed who drives cloud efficiency. Engineering teams now influence a growing share of cloud costs and need a granular understanding of how Kubernetes workloads consume resources and translate into spend. IBM Kubecost emerged as a leader in helping teams improve container cost efficiency.

For modern enterprises, the new challenge is bringing those perspectives together: FinOps and engineering teams must operate from the same source of truth.

To that end, we’re excited to introduce IBM Cloudability Advanced Containers. Powered by IBM Kubecost, it delivers unified visibility and cost optimization across cloud and Kubernetes environments, helping bridge the gap between FinOps and engineering teams.

This launch reflects our continued investment to deepen container cost management across the IBM FinOps Suite following IBM’s acquisition of Kubecost.

IBM Cloudability Advanced Containers

IBM Cloudability Advanced Containers brings engineering-grade Kubernetes cost management into the FinOps platform enterprises already trust. It extends the Container Insights capabilities our customers already rely on with broader Kubernetes coverage, deeper cost intelligence, and autonomous optimizations.

With Advanced Containers, FinOps practitioners gain clearer visibility into containerized infrastructure, while DevOps and platform engineering teams get the real-time insights they need to understand and optimize the workloads they run every day.

Kubernetes cost management poses increasingly complex challenges that emerge as organizations scale their container environments across clusters, clouds, and teams.

Advanced Containers helps teams address those challenges by combining financial visibility with engineering-level insight. Here are a few examples of what that looks like in practice.

Bring FinOps to Kubernetes Anywhere

Modern enterprises no longer run Kubernetes in a single place. That broader footprint is inherently more distributed, which adds operational and cost complexity. As that footprint grows, understanding the cost of running Kubernetes becomes significantly harder.

Advanced Containers makes it possible to track and compare costs consistently across the full footprint. This includes public cloud, multi-cloud, hybrid, on-premises, and air-gapped deployments.

Untangle What’s Driving K8s Network Costs

Kubernetes network costs can be significant and are notoriously opaque. As workloads communicate across namespaces, zones, regions, and external services, data transfer charges can quietly accumulate with little visibility into what’s driving them. When networking costs spike, teams are left combing through cloud billing exports to trace the services or traffic patterns that triggered them.

Advanced Containers changes that dynamic with an interactive topology view of Kubernetes and cloud network costs. Instead of staring at line items, teams can visually map traffic between clusters, workloads, and external services, instantly seeing where ingress, egress, and cross-zone costs are being incurred. The graph is fully interactive—select nodes, drill into relationships, filter and aggregate by workload or namespace—making it far easier to pinpoint inefficient traffic patterns like excessive cross-AZ communication.

Figure: Interactive look at Network Monitoring view

Understand the True Cost of AI Infrastructure

As GPU-backed workloads become central to AI and machine learning initiatives, understanding GPU efficiency in Kubernetes is no longer optional. GPUs are high-value, high-cost resources, and in containerized environments they are often over-requested, underutilized, or left completely idle.

Advanced Containers has GPU awareness throughout its visualizations that reflect granular usage monitoring. The Efficiency Report makes it straightforward for FinOps practitioners to identify the total cost of GPUs, what portion is allocated, and what portion is idle. DevOps teams appreciate the deep dive into infrastructure idle, and how they can quantify the associated waste. The “Resource idle by cluster” view is critical for identifying large areas of waste associated with GPUs provisioned on nodes that are completely unused.

Figure: “Resource idle by cluster” view, showing idle GPU alongside other resources

Turn Cost Insights into Operational Actions

Cost optimization in Kubernetes often stalls after initial cost visibility is established. Visibility alone doesn’t reduce spend. Requests are overprovisioned, abandoned workloads linger, and spot opportunities go unused. The waste is real, but it’s hard to operationalize in a way that engineering teams can safely implement.

Advanced Containers turns optimization insights into automated actions. Savings Insights, such as right-size resource quotas, container requests, and PVs, are generated from your actual Kubernetes usage patterns. Each insight quantifies potential impact, which helps teams prioritize the highest value changes first. Automated Actions help teams then turn these insights into repeatable, predictable changes that improve cost efficiency. Actions can be viewed in context, then applied through guided steps or automation workflows. Teams can schedule cluster or namespace turndown to avoid paying for idle capacity, update or create new resource quotas, or use automated request sizing to keep CPU and memory requests aligned with real usage. This reduces manual effort and helps teams apply safe optimizations at scale.

Figure: Review and apply recommendations for resource quotas

Built Into IBM Cloudability

Advanced Containers is an add-on within IBM Cloudability. It is available across Cloudability Essentials, Standard, and Premium. Teams can seamlessly access Advanced Containers directly within Cloudability without switching platforms or credentials.

Cloudability continues to provide FinOps teams the centralized reporting, allocation, and governance they need to manage cloud spend at scale. While Advanced Containers adds the Kubernetes granularity DevOps teams need to drive faster optimizations and savings.

This gives FinOps and DevOps teams the shared cost foundation needed to balance performance and cloud spend with confidence.

What’s Next

This is just the start, and we remain committed to continued investment in Advanced Containers within the broader Cloudability experience. The focus now is expanding on what teams can do with this foundation, making it even more actionable for day-to-day operations.

Investment themes ahead include intelligent automation, stronger support for AI infrastructure and efficiency, and more ways to shift cost awareness earlier in engineering workflows. Enterprise readiness remains a priority as well, with investments in multi-tenancy and deeper integrations with native Cloudability features.

Feedback will help shape what comes next. Join quarterly Customer Advisory Board meetings, bring your questions to upcoming webinars and User Group meetups, and share your feedback to help shape future capabilities.

Learn More

If you want to see Advanced Containers in action, schedule a walkthrough with us. Existing IBM Cloudability customers can contact their account team to get started.