Zesty · DoiT International (acquired Zesty February 2025) · infraplz.dev
DoiT International (acquired Zesty February 2025)
Zesty
AI-powered cloud optimization platform that autonomously manages Kubernetes resources via Kompass — continuously rightsizing pod CPU/memory, autoscaling persistent volumes, and managing spot instance migrations with sub-40-second replacement. ML models analyze real-time usage patterns for ongoing adjustments without code changes. The Commitment Manager automates AWS Savings Plan and RI purchasing with micro-commitment strategies.
Zesty is a cloud optimization platform for Kubernetes and AWS compute. The Kompass engine continuously rightsizes pod CPU and memory requests by monitoring real-time utilization and adjusting resource settings without application code changes or restarts. It also handles persistent volume autoscaling — expanding EBS volumes as they approach capacity — and manages spot instance migration with sub-40-second on-demand replacement when interruption signals are detected.
The Commitment Manager applies ML-based micro-commitment strategies to AWS Savings Plans and Reserved Instances, purchasing shorter-duration commitments and rebalancing more frequently than annual plans to track usage shifts.
Acquired by DoiT International. Coverage: AWS and Kubernetes only; GCP and Azure not supported. Pricing monthly for Kompass (unpublished); Enterprise via sales.
Key Features
Kompass pod rightsizing: continuously adjusts CPU and memory resource requests based on real-time utilization patterns via the Kubernetes API without application restarts or code modifications
Persistent volume autoscaling: monitors EBS volume utilization and automatically expands volumes as they approach capacity, preventing storage-related outages without manual intervention
Spot migration with sub-40-second replacement: monitors AWS spot pool interruption signals and migrates workloads to on-demand before reclamation with replacement times under 40 seconds
ML-based commitment management: applies micro-commitment strategies to AWS Savings Plans and RIs, purchasing shorter-duration commitments and rebalancing more frequently to track usage shifts
Zero-code-change optimization: rightsizing and volume scaling operate via the Kubernetes and AWS APIs without requiring application instrumentation, agent injection, or code modifications
Staged rollout controls: autonomous patching applies incrementally with configurable rollout policies and rollback options to validate optimization changes before full deployment
Integrations
2 total
orchestration
Kubernetes
cloud
AWS
Pricing
3 tiers
Commitment Manager
—
% of savings achieved; automated SP/RI purchasing, micro-commitment portfolio
Kompass (Kubernetes)
—
$500/month base + $5/managed vCPU/month; pod rightsizing, PV autoscaling, spot protection. Requires $7K+/month on-demand EC2 spend
Enterprise
Contact sales
Custom pricing (annual); for $20K+/month cloud spend, advanced features, dedicated support
