Zesty takes a fundamentally different approach to cloud cost optimization by making adjustments autonomously rather than generating recommendations that engineers must manually implement. The platform's AI engine continuously analyzes AWS resource utilization patterns, predicts future demand, and automatically purchases, exchanges, or sells Reserved Instances and Savings Plans to maintain optimal commitment coverage. This autonomous management eliminates the expertise-intensive manual process of managing RI portfolios that many organizations struggle with.
The compute optimization engine monitors EC2 instance utilization in real-time and automatically right-sizes instances based on actual consumption patterns. Rather than offering one-time recommendations that become stale as workloads change, Zesty continuously adjusts instance types and sizes to match current demand, scaling down during low-usage periods and scaling up before demand increases. The platform claims an average of 51% savings on AWS compute spend across its customer base.
Zesty extends beyond compute to optimize storage costs by identifying over-provisioned EBS volumes, recommending gp3 migrations from gp2, and cleaning up unattached volumes and snapshots. The platform integrates with existing AWS organizations and accounts through IAM roles, requiring no changes to application code or deployment pipelines. A dashboard provides visibility into savings achieved, optimization actions taken, and remaining opportunities, giving finance and engineering leaders shared visibility into cloud spending efficiency.