Zesty
Zesty provides AI-driven cloud management technologies that automatically scale cloud resources in real-time to optimize costs and performance.
At a Glance
- Enterprise Software
- DevOps
- FinOps
- SaaS
- +1 more
AI Tools by Zesty
(1)
Zesty
Kubernetes Cloud Cost Optimizer
Discussions
No discussions yet
Be the first to start a discussion about Zesty
Latest News
Zesty Introduces Automated Kubernetes Optimization Platform Zesty Kompass
Zesty Launches Pod Rightsizing Feature for Kubernetes
Zesty Launches Compression Feature for Zesty Disk to Slash Cloud Storage Footprint
Zesty Lands $75 Million Series B to Lead Cloud Infrastructure Evolution
Products & Services
Automatically scales cloud storage (EBS) volumes in real-time, matching capacity to application needs and reducing waste.
Automates the management of EC2 and RDS Reserved Instances and Savings Plans to maximize discount coverage without financial risk.
Automated Kubernetes optimization platform that handles pod rightsizing and cluster resource allocation.
Market Position
Zesty differentiates itself by offering fully automated, real-time resource adjustments (active optimization) rather than just passive cost reporting or recommendations.
Leadership
Founders
Maxim Melamedov
Co-founder & CEO. Former roles include AWS (Amazon Web Services), veteran of the Israeli Air Force, and background in homeland security. Journeyed from the Soviet Union to Silicon Valley.
Alexey Baikov
Co-founder & CTO. Background in Python backend development and system planning. Alumnus of Shevah Mofet.
Executive Team
Maxim Melamedov
CEO & Co-founder
Former AWS, Israeli Air Force.
Alexey Baikov
CTO & Co-founder
Software engineering lead, backend specialist.
Board of Directors
Founding Story
Zesty was founded in 2019 as Cloudvisor.io by Maxim Melamedov and Alexey Baikov. The founders saw that cloud management recommendations were not enough; companies needed automated, real-time action to prevent massive cloud waste. They rebranded to Zesty in 2021 to reflect their more active and 'zesty' approach to cloud optimization.
Business Model
Revenue Model
Usage-based and success-based (percentage of savings).
Pricing Tiers
Pricing based on managed EBS volume or shared savings.
Charges a percentage of the savings generated.
Billed based on Kubernetes cluster resource usage.
Target Markets
- Enterprise Software
- DevOps
- FinOps
- SaaS
- E-commerce
- Cloud Cost Optimization
- Kubernetes Management
- EBS Storage Management
- Automated Reserved Instance Trading
- Armis
- Gong
- GrubHub
- Wiz