The flexibility offered by Kubernetes environments carries inherent complexity, particularly when it comes to understanding how those Kubernetes workloads drive cloud costs. Now with Kubernetes Intelligence, DoiT customers can get granular visibility into K8s cost and utilization metrics, giving their FinOps teams the flexibility and scalability needed to run applications at scale.
While cloud billing data provides the “what” behind spend, it often lacks critical context: “Was this spent wisely?” Despite the critical role that Kubernetes clusters play in application development and delivery, visibility often ends at the abstraction layer. Without visibility into resource utilization at the cluster level and deeper (workloads, namespaces, & code), teams struggle to connect usage to cost, identify inefficiencies, and plan capacity with confidence.
Kubernetes Intelligence answers all of that by seamlessly integrating utilization data (CPU, memory, GPU) gathered via PerfectScale by DoiT with cloud provider billing metrics. Whether you’re managing clusters in AWS or Google Cloud, Kubernetes Intelligence provides the unified visibility you need to optimize cost and capacity confidently.
This functionality, which is available to all DoiT customers, also provides single-click integration into the PerfectScale platform, giving teams the visibility and automation capabilities that can break down siloes and streamline K8s cost and performance efforts.
Kubernetes Intelligence: From holistic visibility to autonomous K8s cost and performance optimization
For much of your organization, including FinOps professionals and executives who want to understand where their rising cloud costs are coming from, Kubernetes can leave teams flying blind without a clear path to optimization:
- Overprovisioned clusters wasting money: Without utilization metrics, teams often pay for idle CPU or memory.
- Disconnect between resource usage and cloud bills: You might know your cloud spend, but not the Kubernetes drivers behind it.
- Siloed observability tools: Switching tools to get cost vs. utilization insight wastes time and adds to misalignment between teams
Kubernetes Intelligence solves these issues by unifying utilization and billing data in a single, intuitive view. This enables you to spot underused resources and reallocate or right-size proactively, understand exactly how Kubernetes clusters contribute to your overall cloud spend, and reduce the time spent toggling between tools.
And with one-click integration into the PerfectScale platform, optimization transforms from manual guesswork to measurable improvements in your K8s cost and performance. With prescriptive recommendations and automated, data-driven workflows, you can establish governance policies and continuously optimize your environment for the desired results.
Per-cluster drilldowns into CPU, memory, and GPU utilization
From the aggregated view, you can drill into individual clusters to better understand resource consumption patterns. Kubernetes Intelligence provides detailed breakdowns of CPU, memory, and GPU utilization, helping you distinguish between workloads that are properly sized and those that are misconfigured. These per-cluster insights are critical for uncovering inefficiencies and keeping your Kubernetes infrastructure efficient without compromising performance.
Integration with Cloud Analytics
All utilization data collected through Kubernetes Intelligence is available directly in Cloud Analytics, giving you the flexibility to build custom dashboards and reports. This means you can correlate utilization patterns with spend across accounts, projects, or teams, and design reporting tailored to your organization’s unique needs.
Whether you want to monitor cost allocation by namespace, track trends over time, or share insights with finance stakeholders, Cloud Analytics makes it simple to extend the value of Kubernetes Intelligence beyond the preconfigured views.
Get autonomous remediation for Kubernetes cost and resiliency improvements
DoiT customers can enable Kubernetes Intelligence in just a few minutes, and immediately start seeing deep insights into their environment.
- Install the PerfectScale agent in your Kubernetes clusters via Helm, YAML, or your deployment pipeline and connect your clusters.
- Once clusters are connected, Kubernetes Intelligence immediately appears in your Dashboards menu
- If you'd like prescriptive recommendations, or want to automate optimization workflows, you can quickly activate a PerfectScale account and start a 30-day free trial without reinstalling the agent.
Looking Ahead
Right now, Kubernetes Intelligence works seamlessly alongside our dedicated EKS and GKE dashboards. Later in the year, we’ll be adding support for AKS and consolidating these into a single, unified Kubernetes dashboard, simplifying cluster governance across platforms even further.
To learn more about Kubernetes Intelligence or get help setting up the PerfectScale agent, reach out to a DoiT expert or visit our documentation in the DoiT Help Center.
