Optimize Kubernetes Resources and Elasticity with Kubex Agentic AI
Improve your cluster scaling and efficiency in minutes.
Eight capabilities in one optimization engine.
Kubex analyzes every layer of your Kubernetes stack, from container requests to node selection to cluster scaling, and acts continuously. Each capability below is part of the same engine. Together, they make each other smarter.
Automated Pod Scaler
Run in recommendation mode or fully automated.
Optimize resources to run on fewer / better nodes
Eliminate OOM kills and CPU Throttling
Policy driven
Node Optimizer
Determine optimal node types, CPU to memory ratios and scaling parameters based on learned behavior.
ML pattern models of resource utilization and scaling activity for scale groups
Recommends optimal node types factoring in predicted utilization and allocation
Automated via CICD pipeline to constantly align supply with demand
Optimizes Karpenter node autoscaling
Node Pre-Warmer
Prevent performance issues caused by scheduling delays by predictively pre-scaling.
ML pattern models generate pre-warming plans to deploy nodes in anticipation of loads
Prevents scheduling delays and increases response times for elastic services
Particularly effective for AI workloads
Predictive Pod Scaler
Drive high efficiency and low risk for highly cyclical workloads through predictive vertical scaling.
ML models analyze workload patterns to generate request and limit scaling plans for peak and off-peak loads
Reduce the throttling and OOM kills associated with reactive approaches (e.g. VPA)
Bin Packer
Intelligently schedule statefulsets and long-running workloads to optimize elasticity.
ML pattern models drive predictive pod placement to avoid placing long-lived workloads on short-lived nodes
Prevents nodes from being blocked as loads scale down
HPA Optimizer
Detect sub-optimal scaling scenarios, such as saturation and idle resources that lead to performance issues and excess cost.
Analyzes HPA replication patterns and container behavior for optimization potential
Detects throttling and OOM kill activity due to saturation
Recommends both container resource specs and HPA configurations
New Container Sizer
Remove guesswork and toil when sizing new containers.
Analyze workload patterns and predictive resource recommendations to determine sizing for new containers
Enables app teams to deploy quickly with intelligent specifications and then tune automatically as Kubex learns
AI Agents
Agentic AI combines market leading optimization intelligence with natural language interaction.
Talk to Kubex with natural-language queries about resources and fill the gaps common in SRE Agents
Navigate by asking for details about specific containers, nodes, or events
Enhanced sharing with interactive tables and deep links for export
Proven Results at Scale
See the measurable impact organizations achieve with our platform.
Rapid Cost Reduction
Toil Reduction
Reduction in OOM Kills
The Inference Throughput
See the benefits of optimized
Kubernetes Resources
AI-driven analytics that precisely determine optimal resource settings for Kubernetes.
