Headroom Reduction
Speed up Karpenter and Cluster Autoscaler scaling to under 30 seconds,
and confidently reduce the CPU overprovisioning you keep for unexpected traffic spikes.
The Problem
When traffic spikes hit, waiting minutes to deploy new nodes isn’t an option. The go-to solution is to multiply node replicas. But this approach comes at a cost: low CPU utilization, wasted resources, and inflated cloud costs.
Product Capabilities
with precise, instant scaling
Idle pod
reduction
Automatically hibernate nodes with Hiberscale™ Technology, and remove idle pods to eliminate overprovisioning, optimize CPU utilization rate, and slash costs.
5X faster node
scale-out
Deploy hibernated nodes in 30 sec. With pre-loaded container images, Hiberscale™ Technology enables a faster response to spikes, ensuring stability and SLA compliance.
Precise prediction
models
AI-powered algorithms analyze historical and real-time utilization patterns to accurately forecast workload demand and proactively adjust resources.
Workload level
Insights
Gain real-time visibility & insights over your workloads’ utilization, costs, and savings opportunities, to reduce CPU overprovisioning and boost cost efficiency.
How It Works
HiberScale’s trademarked technology speeds up node scaling, making application scaling 5X faster. By combining built-in hibernation capabilities with a unique node pre-warming technology based on caching container images and pre-starting OS services, we make scaling faster and more accurate than ever before.
Benefits
Cut CPU costs
Reduce CPU buffer by up to 70% and stop paying for resources you don’t use just to maintain SLAs.
Ensure app availability
Handle any traffic peak with speed and precision, ensuring your application stays reliable no matter the demand.
Eliminate manual operations
Cut wasted hours of manual prediction, configuration, and monitoring with an automation stack you can trust.
Integrations
Whether you’re managing dynamic workloads
or scaling clusters, Zesty ensures seamless integration across your Kubernetes infrastructure to reduce overprovisioning and boost efficiency.
Interested to learn more?
Download the solution brief
If you’ve made it this far, these questions are for you
How does the pricing model work?
Our pricing model is designed to be straightforward and transparent. We charge a base fee plus a fee per CPU managed by Zesty. Importantly, you’re only billed for the CPU managed after optimization. This ensures that you pay only for the resources we actively manage, delivering clear value with every CPU optimized.
Which autoscalers are supported?
Headroom Reduction supports both Cluster Autoscaler (CAS) and Karpenter, enabling headroom reduction across a wide range of Kubernetes environments.
Is the platform secure?
Does it require an agent in order to work?
Will cost optimization impact my applications’ performance?
No, our platform is designed to maintain performance, ensure stability and preserve SLAs, while optimizing costs. Automation keeps CPU available when needed, ensuring applications run smoothly even as costs are reduced.
Is there a complex setup or onboarding process?
How long does it take to see savings after implementation?
Recommendations are available about seven days after connecting a cluster to Kompass. Once a recommendation is activated, headroom reduction is fully automated. Users start seeing measurable savings as early as one hour after activation.
