# 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.