Your Kubernetes platform,
optimizing itself.
Using predictive machine learning, Kubex continuously analyzes resource usage across your entire fleet and acts to proactively rightsize workloads, reclaim idle capacity, and optimize scaling in real time. No tickets. No persuasion. No backlogs.
Autonomous optimization.
The Problem
Manual optimization doesn’t scale.
Your clusters have more capacity than is needed while some developers over-allocate to play it safe, and others under-allocate and trigger evictions.
Optimization tools that surface recommendations are only half the answer. Recommendations sitting in a backlog don’t reclaim capacity.
SOUND FAMILIAR?
“We waste money because we don’t have the confidence to downsize.”
Kubex closes the loop. Instead of generating a list of things someone should do, it continuously optimizes while being governed by policies you define. Optimizations are realized automatically and safely.
How It Works
Continuous autonomous optimization, governed by your policies.
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Analyze
Constantly ingests real-time and historical metrics across all containers, clusters, nodes and cloud IaaS infrastructure – building behavioral models for every service, including AI models running on GPUs.
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Optimize
Calculates optimal container and node sizing based on utilization + replication patterns, uses advanced agents to drive key strategies including bin packing, HPA optimization, and Karpenter optimization.
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Automate
Applies changes autonomously, continuously adjusting requests and limits, tuning autoscaling parameters, and working with the scheduler to perform bin packing to drive actual savings.
Capabilities
What autonomous optimization covers.
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Autonomous Container Rightsizing
Continuously adjusts CPU, GPU and memory requests and limits based on actual usage to eliminate over or under allocation.
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Intelligent Autoscaling
Learns workload patterns and tunes HPA and Node Autoscaler configurations to match real demand, not static guesses. Includes scale-to-zero for idle services.
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Bin Packing
Tunes the native K8s scheduler capabilities, placement affinities, and autoscaler consolidation parameters to drive higher node-level efficiency and elasticity.
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Idle Capacity Reclamation
Automatically identifies and reclaims GPU, CPU, and memory sitting idle between jobs – returning capacity to the pool without manual intervention.
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Cross-Cluster Visibility
A unified view of resource utilization, spend, and optimization activity across every cluster, so you can answer exec questions in seconds, not hours.
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Karpenter Optimization
Works seamlessly with Karpenter to drive node consolidation and ensure that the Karpenter NodePool specs are constantly aligned with container requirements.
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OpenShift Node Optimization
Works seamlessly with OpenShift to drive node consolidation and ensure MachineSet configurations remain continuously aligned with container-level requirements.
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Node Pre-warming
Proactively starts nodes ahead of predicted demand to avoid performance issues caused by node startup latency.
Results
What platform teams achieve with Kubex.
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40-70%
Reduction in resource waste, sustained autonomously
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90%
Fewer manual optimization actions per month
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< 72 Hours
To optimizing cluster sizing, elasticity and efficiency
Control & Governance
Autonomous doesn’t mean uncontrolled.
Human in the loop provision allows you to stay on top of automation and changes. Sensitive workloads can be placed in recommendation-only mode. Everything Kubex does is logged, auditable, and reversible.
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What you control
- Optimization scope by namespace or label
- Min/max resource bounds per workload class
- Excluded workloads or production freeze windows
- Change velocity – how aggressively Kubex acts
- Rollback triggers and automatic revert conditions
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What Kubex handles autonomously
- Continuous rightsizing within your bounds
- Autoscaler tuning and scale-to-zero
- Idle resource reclamation across the fleet
- Change scheduling around traffic patterns
- Rollback if post-change metrics degrade
See your clusters optimizing themselves.
See Kubex in action for yourself or talk to our team about your environment.
