Persistent Volume autoscaling
Trusted by the best to optimize at scale
Dynamic, real-time scaling
Rightsize persistent volumes in real-time to align with workload fluctuations and ensure continuous uptime during peak traffic periods.
Downsizing capability
Precise prediction models
Our algorithms analyze historical and real-time usage to precisely predict filesystem fluctuations and proactively adjust persistent volumes.
Actionable insights
Gain real-time visibility & insights over your persistent volume utilization. Identify idle resources, overprovisioning, and take action to cut storage costs.
Our customers say it best
Principal Cloud Architect, Architecture and Operations at Securonix
Autoscaling built for always-optimized clusters
Reduce storage
costs
Provision the exact persistent volume capacity that you need, and save up to 70%.
Ensure availability
& performance
Align PVs with your workloads in real time to eliminate the risk of downtime caused by data surges.
Eliminate manual
effort
Take out the headache of managing and provisioning persistent volumes in your K8s infrastructure.
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 storage managed by Zesty. Importantly, you’re only billed for the storage capacity managed after optimization. This ensures that you pay only for the resources we actively manage.
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 storage. 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.
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 storage available when needed, ensuring applications run smoothly even as costs are reduced.
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 PV Autoscaling solution, an additional agent is needed to enhance efficient automation.
What data sources are used for analysis?
The PV Autoscaling agent collects performance metrics such as disk usage, capacity, IOPS and throughput, and disk metadata such as instance type, disk type, volume names etc.
How long does it take to see savings after implementation?
Users start seeing measurable savings from day one after completing the onboarding process.
Optimize at every layer
Compute cost visibility
Analyze workload costs, identify waste, and automate with clear data-driven insights.
Azure Commitment Optimization
Continuously align commitments with usage to maximize coverage and minimize lock-in risk.
FastScaler
Reduce app startup time by up to X5 to absorb spikes without throttling or OOMs.
Multi-dimensional Autoscaling
Optimize pod resources and replica counts to maximize performance and cost efficiency.
AWS Commitment Optimization
Continuously align commitments with usage to maximize coverage and minimize lock-in risk.
Adaptive pod placement
Reposition unevictable pods to reduce fragmentation and enable node consolidation.
