Zesty
AI powered cloud cost optimization platform automating Kubernetes resource management, storage scaling, and AWS commitment purchasing to reduce cloud spend by up to 70%.
About Zesty
Zesty is a cloud cost optimization platform that unifies multiple automation layers to optimize both resources and commitments, delivering deeper waste reduction and greater stability for Kubernetes and cloud infrastructure. The platform uses purpose-built AI technologies to intelligently scale resources, eliminate overprovisioning, and maintain performance without requiring manual intervention from DevOps teams.
The platform offers four core components: Kompass for Kubernetes optimization, Zesty Disk for persistent volume autoscaling, Commitment Manager for automated Savings Plans and Reserved Instance management, and Insights for cost visibility and recommendations. Zesty's automation engine simultaneously applies multiple optimization techniques to seamlessly adjust compute, storage, and commitments, driving cost efficiency at every layer of infrastructure while preserving SLAs.
Zesty serves organizations using AWS and Azure cloud services, particularly those running Kubernetes workloads. The platform analyzes historical and real-time utilization patterns to accurately forecast workload demand, proactively adjusting resources before usage spikes occur. With FastScaler Technology, hibernated nodes spin up in under 30 seconds with pre-cached container images, maintaining application performance while maximizing cost savings.
Key Features
- AI-Powered Optimization: Analyzes historical and real-time utilization patterns to forecast workload demand and proactively adjust resources before usage spikes.
- Kubernetes Resource Management: Automatically rightsizes pods, reduces headroom, and provides spot instance protection while preserving SLAs.
- FastScaler Technology: Enables hibernated nodes to spin up in under 30 seconds with pre-cached container images for rapid application boot times.
- Storage Autoscaling: Automatically expands and shrinks cloud disks to match application needs in real-time, preventing "out of space" failures.
- Commitment Automation: Automatically purchases and sells Reserved Instances and Savings Plans based on real-time business needs without manual intervention.
- Multi-Layer Visibility: Provides comprehensive insights into AWS and Azure cost breakdowns with actionable recommendations for EC2, EBS, S3, RDS, and VM optimization.
Pricing
Zesty offers usage-based and success-based pricing models across its product suite:
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Kompass (Kubernetes Optimization): $500 base monthly fee + $5 per managed vCPU/month Reduces K8s costs by up to 70% through headroom reduction, pod rightsizing, and spot protection.
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Zesty Disk (Storage Optimization): Tiered pricing per unit Tier 1: up to 300 TB → $0.025/unit Tier 2: 300 TB to 1,000 TB → $0.015/unit
Tier 3: from 1,000 TB → $0.01/unit Reduces storage costs by up to 70% through persistent volume autoscaling. -
Commitment Manager: Success-based pricing (25% of savings generated) Automates Savings Plans and Reserved Instances to reduce EC2 costs by up to 50% with zero commitment risk.
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Insights (Visibility & Recommendations): Monthly flat fee (free for Kompass customers) Provides AWS and Azure cost breakdown visibility with optimization recommendations for EC2, EBS, S3, RDS, VM, and more.
Pricing last updated: February 22, 2026 at 7:50 AM
Use Cases
- Kubernetes workload optimization and rightsizing for containerized applications
- Automated AWS Reserved Instance and Savings Plan management to maximize discounts
- Cloud storage cost reduction through dynamic persistent volume autoscaling
- Real-time cloud cost monitoring and FinOps visibility across multi-cloud environments
Pros & Cons
Pros:
- Guaranteed savings with automated commitment management and risk-free optimization
- FastScaler technology maintains SLAs with sub-30-second node spin-up times
- No upfront payment required for commitment management; purely success-based pricing
Cons:
- Platform focuses primarily on AWS and Azure, with limited support for other cloud providers
- Base monthly fee of $500 for Kubernetes optimization may be prohibitive for smaller teams
Integrations
AWS, Azure, Kubernetes, Amazon EBS, Amazon EC2, Amazon S3, RDS
FAQ
Last edited
February 22, 2026 at 7:50 AM by Admin
