Platform leverages deep analysis of infrastructure and workload impacts to reduce costs without compromising reliability

Komodor, the platform for automating Kubernetes operations, health, performance, and cost management, today announced it has added advanced new cost optimization capabilities to its Kubernetes management platform. These new features enable organizations to intelligently reduce cloud spend while maintaining performance and reliability across their entire Kubernetes estate.

Most teams are overspending on compute—yet manually right-sizing workloads is nearly impossible due to a lack of expertise, the large volume of factors to consider, and the potential risks of making changes. Meanwhile, traditional cost optimization tools overlook business impacts on application performance, developer velocity, and platform reliability. Komodor takes a platform-centric approach, enabling engineering teams to analyze and visualize Kubernetes resources, application runtime data, logs, changes, along with 3rd party integrations to automate smarter risk-aware decisions for cost optimization.

“Cloud didn’t make hardware free—it made it a metered cost. Komodor understands that Kubernetes management isn’t just about scale anymore, it’s about cost-aware control,” Dan Twing, President & COO, Enterprise Management Associates. “Their intelligent automation helps teams optimize spend without compromising performance, which is exactly what’s needed in today’s complex, cloud-native environments.”

Containing Cost not Performance

As Kubernetes workloads grow in size and complexity, so does cloud spend. Engineering teams often over-provision infrastructure “just in case,” resulting in idle resource waste. Meanwhile, mission-critical workloads can’t be evicted, limiting autoscaler efficiency. But optimizing for cost alone often leads to misconfigured workloads, scaling failures, or reduced application reliability.

Without a unified view of cost across clusters, namespaces, and environments, teams struggle to understand where savings can be safely achieved. Meanwhile, open source autoscalers like Karpenter and Cluster Autoscaler are helpful, but limited—since they don’t account for workload diversity, service criticality, or real-time performance metrics.

The Komodor platform’s latest enhancements extend and augment native autoscaling with intelligent pod placement for bin-packing optimization, as well as real-time workload right-sizing, delivering up to 40-60% in additional savings. All without compromising stability or speed.

“In large scale Kubernetes environments, cutting costs without visibility into application behavior is a recipe for downtime,” said Itiel Shwartz, Co-Founder & CTO of Komodor. “What organizations need is a way to optimize cost and performance—across the full scope of infrastructure and application operations. That’s what we’ve built.”

New Cost Optimization Capabilities

The new capabilities available in the Komodor platform help teams transition from static resource planning to dynamic, real-time cost optimization—empowering them to eliminate resource inefficiencies without increasing risk. These include:

• Real-Time Spend & Allocation Visibility
  
  Unified cost views across cloud, hybrid, and on-prem environments with drill-down filters for clusters, services, and namespaces—for improved team accountability and smarter decision-making.

• Intelligent Workload Right-Sizing
  
  AI-driven resource recommendations based on real-world usage across CPU, memory, throttling, and scheduling signals—help prevent both overprovisioning and underperformance.

• Advanced Bin-Packing & Pod Placement
  
  Komodor actively resolves placement blockers (e.g., Pod Disruption Budgets, affinity rules, etc.) and extends autoscaler functionality to improve node utilization, reduce fragmentation, and accelerate scaling.

• Autopilot Mode with Guardrails
  
  Continuous unattended and customizable optimization profiles (Conservative, Moderate, Aggressive) and safety thresholds, ensure changes are always safe, traceable, and aligned with business priorities.

• Smart Headroom Management
  
  Intelligently reserves and manages extra compute resources (CPU and memory) across nodes to reduce provisioning delays and improve responsiveness during spikes, deployments, or rollouts—without overprovisioning.

Availability

The Komodor platform with advanced cost optimization capabilities is available immediately from Komodor and its global partner network. To schedule a demo or learn more about how Komodor can help your organization achieve performance-aligned cost savings, visit https://komodor.com/contact-sales.

About Komodor

Komodor reduces the cost and complexity of managing large-scale Kubernetes environments by automating day-to-day operations, as well as health and cost optimization. The Komodor Platform proactively identifies risks that can impact application availability, reliability and performance, while providing AI-assisted root-cause analysis, troubleshooting and automated remediation playbooks. Fortune 500 companies in a wide range of industries including financial services, retail and more, rely on Komodor to empower developers, reduce TicketOps, and harness the full power of Kubernetes to accelerate their business. The company has received $67M in funding from Accel, Felicis, NFX Capital, OldSlip Group, Pitango First, Tiger Global, and Vine Ventures. For more information visit https://komodor.com/, join the Komodor Kommunity, and follow us on LinkedIn and X.

View source version on businesswire.com: https://www.businesswire.com/news/home/20250624566154/en/

Cloud didn’t make hardware free—it made it a metered cost. Komodor understands that Kubernetes management isn’t just about scale anymore, it’s about cost-aware control.