Karpenter Faster scaling | Zesty
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
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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.