SRE’s, Platform Owners and FinOps teams
are succeeding and saving $millions.

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Testimonials

What our Customers Say

From fast-growing startups to enterprise platforms.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Suited for large enterprises and platform engineering teams that require deep, audit-compliant optimization across hybrid estates... significant traction in financial services, insurance, and large enterprises where governance and safety are paramount.

Director, Cloud Engineering

Two weeks of Kubex automation in dev, and 907 cores and 8.8TB of memory were off the bill. That's $585K a year. Easiest savings story we've ever taken to leadership.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Kubex excels at safe automation. It provides a highly governed framework where recommendations can be executed automatically via its Kubex Automation Controller, but with strict policy guardrails that respect maintenance windows and approval workflows. This ensures that even in production, automated changes are audit-compliant and risk-free.

Sr. Director of Cloud Architecture

We knew we were overprovisioning. We didn't know where. Kubex showed us cluster by cluster and fixed it. 6,000 cores gone, $1.2M back, and the platform team got their time back.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Beyond standard CPU and memory rightsizing, Kubex offers advanced analytics for GPU workloads. It provides Multi-Instance GPU (MIG)-aware optimization, helping organizations right-size expensive AI/ML infrastructure by identifying underutilized GPU slices and recommending optimal configurations to reduce waste.

Great tool for Kubernetes Cost tracking

Candle Stick Charts help us to track the burst performance of the application every hour. With the help of the Helm chart, it becomes easy to install.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Kubex was classified as an Outperformer due to its accelerated innovation roadmap... combined with its deep, new support for GPU optimization and Model Context Protocol (MCP), demonstrate a leap forward in making optimization accessible and explainable for engineers.

Kubex uncovers and eliminates hidden infrastructure costs

What I like best is how Kubex transforms cloud optimization from a difficult, reactive task into a proactive and collaborative process. It gives our developers the data they need to be cost-aware. Additionally, customer support is amazing.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Kubex's core strength lies in its ability to predict future resource needs based on historical data. By analyzing long-term usage trends, it proactively sets resource requests to handle upcoming peaks without overprovisioning rather than simply reacting to spikes after they occur.

Precision Meets Intelligence: Elevating FinOps with Kubex

Kubex has brought a level of clarity and control to our cloud resource optimization that frankly feels like a superpower. Its machine learning–driven recommendations are not only accurate but also actionable, making it easy to transition from insight to execution without the usual friction. The platform excels at contextualizing optimization decisions — especially in containerized environments — and supports a proactive FinOps culture rather than a reactive one. It’s rare to find a solution that engineers actually trust and finance teams appreciate. Kubex hits that sweet spot.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Beyond standard CPU and memory rightsizing, Kubex offers advanced analytics for GPU workloads. It provides Multi-Instance GPU (MIG)-aware optimization, helping organizations right-size expensive AI/ML infrastructure by identifying underutilized GPU slices and recommending optimal configurations to reduce waste.

Senior Platform Engineer

Kubex showed us where our Kubernetes CPU surplus was hiding. Acted on it, pulled $ thousands a month out of one staging environment, and there's plenty more to go.

GigaOm Kubernetes Resource Optimization Solutions Report 2026

Unlike reactive autoscalers that rely on simple thresholds, Kubex uses a deterministic statistical machine learning engine to analyze deep historical usage patterns.

Strong Product, Even Better Customer Service

The product is excellent at providing complete and detailed recommendations to rightsize various cloud instances. However, my experience with their account team has been the most beneficial as we have needed some specialized reports, and they immediately sprinted to getting them in their roadmap.