Subscribe to our newsletter
Get monthly email updates about improvements.
Kubernetes with spot node pools handling 70% of workloads. Automatic fallback to on-demand with pod graceful termination on interruptions.
ML-based analysis recommends optimal savings plans and reserved instances. Auto-purchase within defined budgets and approval workflows.
Auto-scaling groups with instance type diversification. Balances spot, on-demand, and reserved for optimal cost and availability.
Pipeline checks prevent expensive resource deployment. Auto-suggests cheaper alternatives and flags cost anomalies before deployment.
Let’s discuss how we can help you achieve similar results.
Subscribe to our newsletter
Get monthly email updates about improvements.