# FastScaler

Handle spikes in seconds,

**not minutes.**

Increase the efficiency of Karpenter and Cluster Autoscaler with FastScaler, accelerating application boot times by up to 5x to maintain stability during unpredictable traffic spikes.

## Capabilities

**Fast scaling** built for any spike

### Faster application boot time

Reduce application startup time

by up to 5 times to improve responsiveness

and maintain stability under any load.

### Low-cost node hibernation

Create a pool of hibernated nodes

ready to handle any traffic spike

at a fraction of the cost.

### Preloaded container images

Pre-cache container images on hibernated nodes to eliminate image pull delays and reduce startup latency during scale-up events.

| Image size | Time to scale up |
|------------|-----------------|
| 5.29GB    | 36SEC           |
| 3.73GB    | 37SEC           |
| 1.55GB    | 36SEC           |
| 584.2MB   | 37SEC           |
| 95.9MB    | 36SEC           |

## Comparison

## From scaling lag **to instant startup times**

### Skip the scrolling. See it live

## Benefits

## Autoscaling built for **always-optimized** clusters

### Ensure application availability

Handle any traffic peak with speed and precision, ensuring your application stays reliable no matter the demand.

### Optimize node management

Reduce pod buffers while keeping applications responsive during sudden traffic spikes.

### Eliminate manual monitoring

Cut wasted hours of manual prediction

and monitoring with an automation stack

that reacts to spikes in real time.

## More Capabilities

## **Optimize** at every layer

### Azure Commitment Optimization

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

### PV autoscaling

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

### 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.

### Adaptive pod placement

> Reposition unevictable pods to reduce fragmentation and enable node consolidation.

## Ready to Cut **Kubernetes Waste?**