Zesty

Zesty is an automated Kubernetes optimization platform designed to improve both performance and cost-efficiency across containerized environments. It continuously analyzes resource usage, application demand patterns, and cluster configurations to right-size workloads and infrastructure in real time. Using machine learning–driven insights, Zesty automatically adjusts CPU, memory, and storage allocations, helping teams reduce overprovisioning while maintaining reliability and performance.

Key capabilities include dynamic resource optimization for Kubernetes clusters, automated scaling based on actual utilization, and intelligent recommendations for configuration changes. Zesty can integrate with existing CI/CD workflows and observability stacks, providing actionable insights without disrupting current processes. It supports multi-cluster and multi-cloud environments, enabling centralized visibility and optimization across complex deployments.