What are Preemptible VMs?

Preemptible VMs are highly affordable, short-lived compute instances suitable for batch jobs and fault-tolerant workloads. Preemptible VMs offer the same machine types and options as regular compute instances and last for up to 24 hours. PVMs offer significant savings, but normally, they would not be ideal for production or mission-critical workloads. wenovate Cloud Cost Optimization for GCP changes that.


How it works

Based on historical and statistical data, wenovate Cloud Cost Optimization predicts preemptions ahead of time and automatically migrate instances into different machine Types, Zones or fall back to On-Demand in order to ensure high availability and consistency. wenovate Cloud Cost Optimization will also make sure that the preemption is done gradually to ensure service uptime.

Key Features

Seamless Integration

wenovate Cloud Cost Optimization integrates with various applications and services including GCE, GKE, Google Cloud Load Balancing, Stack Driver and more.

Intelligent Auto-Scaling

wenovate Cloud Cost Optimization provides tailor-made auto-scaling for your application. Metric-based or Event-driven, wenovate Cloud Cost Optimization will always make sure that you have the optimal mix of Right-sized VMs running to meet your workloads needs.

Pay 80% Less On Compute Infrastructure

wenovate Cloud Cost Optimization reliably utilizes Preemptible VMs based on Machine Learning models to predict preemptions and maintain high-availability.

Always Up

wenovate Cloud Cost Optimization uses predictive algorithms to identify and drain VMs that are about to be preempted. Prior to VM termination, wenovate Cloud Cost Optimization seamlessly launches a new VM and replace it seamlessly. wenovate Cloud Cost Optimization will also make sure to distribute your VMs across different sizes and types to optimize cost reduction and VM longevity.

Deep Visibility

Gain deep visibility into the usage, utilization and spend on VMs and containers. The Elastigroup dashboard also features an analysis of potential and actual costwenovate Cloud Cost Optimizationsavings based on Preemptible VM usage.