Boost Kubernetes efficiency at
every layer

A single platform powered by predictive horizontal and vertical autoscaling, designed to accelerate performance and cost-efficiency across stateless and stateful applications.

Trusted by the best to optimize at scale

Keep resources tightly aligned with
application demand

Our integrated automation stack seamlessly adapts to workload changes across every layer of your K8s environment, maintaining perfect SLAs while achieving unmatched cost reduction.

Scale faster to enhance efficiency

Stop overprovisioning CPU just to handle traffic peaks. Zesty’s trademarked HiberScale™ technology launches new nodes in just 30 seconds, boosting SLAs, slashing idle CPU resources while keeping every spike under control.

Automate pod rightsizing at scale

Dynamically adjust CPU and memory allocations at the container level based on live usage metrics to maintain optimal application performance and reduce waste from static resource requests.

Autoscale persistent volumes

Replace overprovisioned storage with dynamic, usage-based scaling. Automatically increase and reduce PVC capacity in response to workload dynamic requirements, maintaining uptime without overpaying for unused storage.

Safely maximize Spot coverage

Confidently run critical workloads on Spot Instances with Zesty’s Spot Protection. Pods are moved to new nodes within 30 seconds, before interruptions hit – keeping your app always on while maximizing savings.

Gain workload visibility & insights

Streamline monitoring with real-time visibility into resource consumption, costs, and potential savings – all from a single interface designed to support fast, data-driven optimizations.

Optimized for any application or workload

Our trademarked technologies power real-time automation to allocate exactly the resources you need – scaling instantly for peak performance and cost efficiency.

Multi-dimensional automation

Simultaneously apply horizontal and vertical autoscaling strategies and continuously optimize compute and storage across your entire Kubernetes environment.

Advanced predictive scaling

AI-powered algorithms analyze historical and real-time utilization patterns to accurately forecast workload demand, proactively adjusting resources before usage spikes occur.

HiberScale™ Technology

Reduce cluster inefficiencies with intelligent node hibernation. New nodes are provisioned in under 30 seconds with pre-built container images to prevent disruptions, enabling faster scaling and maintaining efficiency without risking SLAs.

Trusted by winning engineering teams worldwide

Managed cloud spend
Optimizing billions of dollars for engineers teams across the globe.
$ 0 billion
Accounts
Delivering optimized solutions across thousands of k8s environments.
1000 +
Customer Satisfaction Rate
Highly rated by teams worldwide for
reliability, innovation, and support.
0 /5

Quick answers
for curious minds

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 or Storage managed by Zesty. Importantly, you’re only billed for the CPU or storage capacity managed after optimization. This ensures that you pay only for the resources we actively manage, delivering clear value with every CPU optimized.

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.

Zesty requires an agent with read-only permissions to function. This agent allows Zesty to gain visibility into your environment and provide accurate recommendations. For our automated headroom reduction solution, an additional agent is needed to enhance efficient automation, requiring permissions for creating nodes, reading logs from Cloudwatch, events from SQS, and more.

No, our platform is designed to maintain performance, ensure stability and preserve SLAs, while optimizing costs. Automation keeps CPU and storage available when needed, ensuring applications run smoothly even as costs are reduced.

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.

Users start seeing measurable savings 10 days after connecting the CUR and completing the onboarding process. Typically, Headroom reduction or Spot automation takes about three days for the initial data to populate, followed by an additional 7 days to generate recommendations and start automation.

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