Pod Rightsizing
built for performance
Optimize CPU and RAM resources in real time, guided by live workload demand. Eliminate waste, control costs, and protect what matters most – application stability.
The Problem
scaling falls short
Keeping CPU and RAM requests accurate means nonstop manual tuning, hard to keep up with and harder to get right. Existing tools promise automation, but most teams avoid them. They clash with HPA, lack accuracy, and risk stability. So Ops teams keep firefighting, trading performance for cost. This is exactly what we’re here to solve.
Product Capabilities
you can trust in production
CPU and RAM
rightsizing
Precise container-level optimization
Compatibility
with HPA
Boost performance and cost efficiency with VPA working alongside HPA for seamless resource optimization.
Performance-first
mechanisms
Ensure stability with gradual rollouts and auto-healing, while InPlacePodResizing removes the risk of pod restarts.
Customized
Automation Policies
Choose policies for performance, buffers, and risk tolerance, and set the automation level per workload so optimization is always tailored to your exact preferences.
Workload level
Insights
Gain real-time visibility & insights over your workloads’ utilization, costs, and savings opportunities, to reduce CPU & RAM overprovisioning and optimize allocations.
Comparison
VP of Engineering at Wildflower Health
How It Works
Pod Rightsizing
Our solution continuously monitors pod usage and applies advanced algorithms to adjust workload resources. Designed with performance in mind, it lets you tailor scaling to your buffer needs. An auto-healing mechanism ensures stability, while gradual rollouts minimize the impact of scaling, all without requiring pod restarts. With Zesty, CPU and RAM optimization is more accurate than ever.
Benefits
Cut CPU &
RAM costs
Allocate just the right amount of CPU and RAM resources needed to boost cost efficiency and reduce waste.
Enhance app
performance
Optimize resource distribution across containers within a pod to mitigate CPU throttling and OOM cases.
Eliminate
manual tasks
Save time on usage monitoring and resource adjustments with real-time automation, not just recommendations.
Installation
Deploy Pod Rightsizing in minutes via Helm Chart with no disruption, and start optimizing right away.
Integrations
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.
Is the platform secure?
Yes, security is a priority. The platform complies with industry standards, encrypts all data, and offers role-based access controls, ensuring only authorized users can access your Kubernetes cost data and settings. Only meta-data and usage metrics are collected, Zesty doesn’t have access to any data on the disk or the EC2 instance. These metrics are reported to an encrypted endpoint, and sent unidirectionally to Zesty’s backend. All of Zesty’s architecture is serverless meaning there are no servers or databases involved and all data collected resides within AWS.
Does it require an agent in order to work?
Zesty requires an agent with read-only permissions to gain visibility into your environment and provide accurate recommendations. For our automated Pod Rightsizing solution, an additional agent is needed to enhance efficient automation, requiring permissions to apply changes on resource requests and enforce these changes.
Will cost optimization impact my applications’ performance?
No, our platform is designed to maintain performance, ensure stability, and preserve SLAs, all while optimizing costs. Automation ensures CPU and RAM are available when needed, by monitoring events like OOM or throttling, and keeps applications run smoothly with no pod restarts, even as costs are reduced.
Is there a complex setup or onboarding process?
No, our platform is designed for a quick and simple onboarding process. Most customers are up and running within minutes, with full support to ensure a smooth start on our platform.
How long does it take to see savings after implementation?
Recommendations are available about 24 hours after connecting a cluster to Kompass. Once a recommendation is activated, Pod Rightsizing is fully automated. Users start seeing measurable savings as early as one hour after activation.
