Adaptive pod placement

Run the same pods on fewer nodes

Group unevictable pods that block consolidation to reduce fragmentation, improve node utilization, and lower compute costs while maintaining application availability.

Capabilities

Enable efficient node consolidation

Reduce fragmentation

Group unevictable pods on the minimum number of nodes to reduce fragmentation, while still distributing them to avoid single-node failure risk.

Free up node capacity

Gradually evict pods to free capacity, while respecting PodDisruptionBudgets to maintain application availability and enable node consolidation.

Works with your existing autoscaler

Compatible with Cluster Autoscaler, Karpenter, and any other node autoscalers running in your environment.

Built-in safe eviction mechanism

Respects Jobs and CronJobs. Follows your PDBs or configurable thresholds, and takes actions gradually to ensure stability.

Comparison

From waste to efficiency

Benefits

Pod Placement that keeps your clusters optimized

Increase node utilization

Group unevictable pods to reduce fragmentation and free capacity for node consolidation and higher utilization.

Reduce infrastructure costs

Run the same workloads on fewer nodes and scale down unused compute capacity.

Maintain application performance

Relocate evictable pods safely with gradual evictions and PDB safeguards, to keep workloads stable during optimization.

More Capabilities

Optimize at every layer

Azure Commitment Optimization

Continuously align commitments with usage to maximize coverage and minimize lock-in risk.

FastScaler

Reduce app startup time by up to X5 to absorb spikes without throttling or OOMs.

AWS Commitment Optimization

Continuously align commitments with usage to maximize coverage and minimize lock-in risk.

Compute cost visibility

Analyze workload costs, identify waste, and automate with clear data-driven insights.

Multi-dimensional Autoscaling

Optimize pod resources and replica counts to maximize performance and cost efficiency.

PV autoscaling

Automatically rightsize persistent volumes based on usage to reduce costs and maintain availability.