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Kloia Strategically Partnered with Kubeadapt for Kubernetes Optimizations
02.03.2026 - Kloia, a Kubernetes Certified Service Provider (KCSP), has chosen Kubeadapt to provide secure and transparent cost optimization for its enterprise clients.
The challenge of adopting Kubernetes is no longer the main hurdle. Running it efficiently at scale is. That's the challenge Kloia faces every day working with customers across AWS and on-premises environments. That's why we've been asking harder questions: Why do costs climb so fast? How do we optimize safely, without breaking production? After evaluating multiple tools in the market, including StormForge, Kubecost, and CAST AI, Kloia chose Kubeadapt. It was the only platform that truly delivered the visibility, precision, and engineering-first philosophy our customers needed.
The Real Challenge: Kubernetes at Scale
Across our customer environments, we keep seeing the same pattern. Clusters grow faster than planned. Resource requests get padded with safety buffers to avoid production incidents. Node groups expand reactively, months after they're needed. Cloud bills go up 20-30% quarter after quarter without anyone quite knowing why. When we started digging into the numbers, we found overprovisioning running at 50-70% across most customers. Not because teams lack expertise, they're solid engineers. The issue is simpler: safe optimization is impossible without real visibility into what's actually running versus what you've allocated. As a consulting and managed services partner, we needed a platform that could provide granular cost visibility across namespaces, workloads, and teams. We needed reliable rightsizing recommendations based on real usage percentiles, not assumptions. We needed support for both AWS and on-premises clusters. Most importantly, we needed a solution that let us control optimization safely, without handing over cluster control to automated systems or getting locked into proprietary tools.
Why Kubeadapt Stood Out
When we tested Kubeadapt against other solutions across real customer workloads, several capabilities clearly differentiated it.
Depth of Cost Observability
Most tools show costs at the cluster level. Kubeadapt provides extremely granular breakdowns down to namespace, workload, container, and team. It includes historical trend analysis that makes it easy to explain cost drivers to customers with real data instead of assumptions. Compared to alternatives, the visibility layer is significantly more comprehensive and actionable. That's the granularity that matters when you need to justify a $50K bill increase to a customer.
Advanced Rightsizing Recommendations
Rather than simplistic average-based recommendations, Kubeadapt analyzes usage percentiles, p50, p75, p95, p99. It clearly shows overprovisioned CPU and memory alongside risk impact and projected savings. The platform provides before-and-after resource configurations so you understand exactly what you're changing. These recommendations aren't just accurate, they're practical and safe to apply. For teams responsible for production systems, that engineering transparency is critical.
Capacity Planning and Infrastructure Modeling
One of the strongest differentiators was Kubeadapt's capacity planning suite. The platform includes Spot instance migration assessment with workload-level eligibility scoring, ARM and Graviton migration analysis with savings projections, and what-if simulations before infrastructure changes. These capabilities were far beyond what we saw in other tools. Instead of simply suggesting changes, Kubeadapt enables informed architectural decisions. You go from reactive to strategic.
Observability-First, Not Automation-First
Some tools focus on automated control of clusters, treating your infrastructure like a black box they manage. That's great if you just want costs down and don't care how it happens. But most customers we work with need change management, transparency, and no vendor lock-in. Kubeadapt leverages Kubernetes-native APIs and offers one-click actions, while still allowing engineers to maintain control. This adaptability is crucial for a consulting firm overseeing a variety of client environments. The decision was straightforward after assessing all available options in practical situations.
Kubeadapt offered the most detailed cost visibility, strong percentile-based rightsizing recommendations, advanced capacity planning and modeling, environmental impact reporting with CO₂ tracking, CLI support for engineering teams, and cloud cost integration alongside Kubernetes-level analysis, all without intrusive automation or cluster takeover. Most importantly, it aligned with how we operate: transparent, data-driven, and engineering-focused. "As a Kubernetes Certified Service Provider and AWS Premier Partner, we prioritize tools that build trust with our customers," said a Kloia spokesperson. "Kubeadapt's depth of insight and practical recommendations enable us to deliver measurable savings without operational risk. It's the kind of partnership that matters when you're responsible for enterprise infrastructure."
What This Means for Our Customers
With Kubeadapt, Kloia can now deliver a structured Kubernetes cost optimization engagement that actually delivers results. The process begins with Assessment, quickly linking clusters and pinpointing waste. Next comes the Roadmap, which ranks optimization projects based on projected savings. Implementation then focuses on safe rightsizing and infrastructure upgrades. Governance sets the stage for cost controls, triggers alerts, and ensures accountability.
Finally, Continuous Improvement monitors realized savings over the long haul. This isn't a quick-fix cost-cutting measure. It's about creating Kubernetes operations that are sustainable, transparent, and capable of scaling without exceeding budget constraints. Efficient Kubernetes operations demand visibility, precision, and the appropriate tools.
Kloia is dedicated to empowering innovative companies by transitioning them to modern software development practices. With a team of experienced and curious engineers, Kloia delivers hands-on expertise in DevOps, GenAI, Cloud, Test Automation, and Microservices. By joining client teams, Kloia ensures the seamless implementation of these practices, moving away from legacy processes and providing comprehensive training to elevate technical skills.