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.
Reduce application startup time
by up to 5 times to improve responsiveness
and maintain stability under any load.
Create a pool of hibernated nodes
ready to handle any traffic spike
at a fraction of the cost.
Pre-cache container images on hibernated nodes to eliminate image pull delays and reduce startup latency during scale-up events.
Handle any traffic peak with speed and precision, ensuring your application stays reliable no matter the demand.
Reduce pod buffers while keeping applications responsive during sudden traffic spikes.
Cut wasted hours of manual prediction
and monitoring with an automation stack
that reacts to spikes in real time.
Continuously align commitments with usage to maximize coverage and minimize lock-in risk.
Optimize pod resources and replica counts to maximize performance and cost efficiency.
Reposition unevictable pods to reduce fragmentation and enable node consolidation.
Automatically rightsize persistent volumes based on usage to reduce costs and maintain availability.
Analyze workload costs, identify waste, and automate with clear data-driven insights.
Continuously align commitments with usage to maximize coverage and minimize lock-in risk.