AI-powered monitoring and automation to reduce your Azure, AWS, and GCP costs by 20-40%
Comprehensive tools to reduce costs and prevent overspend
AI-powered anomaly detection alerts you the moment spending spikes unexpectedly. Catch runaway costs before month-end.
Track infrastructure changes week-over-week and catch cost creep early. See exactly what changed, who made the change, and the cost impact.
Track data transfer costs across regions and to the internet. Identify expensive patterns and optimize network architecture.
Analyze support plan costs and determine if you're on the right tier. Many companies overpay for support they don't actively use.
Automatically stop and deallocate idle VMs during off-hours. Perfect for dev/test environments. Schedule-based with safety controls.
Automatically downgrade underused Azure SQL, AWS RDS, and Google Cloud SQL databases to appropriate tiers based on actual utilization.
Move infrequently accessed data to cheaper storage tiers automatically. Lifecycle policies for S3, Azure Blob, and Cloud Storage.
Identify steady-state workloads perfect for Reserved Instances, Savings Plans, or Committed Use Discounts. Maximize long-term savings.
Comprehensive platform, not point solutions
Alert: "New m5.2xlarge instance created in dev-environment"
VM tagged for business hours (8AM-6PM Mon-Fri). Saves $180/month.
Alert: "Cost +120% - someone upgraded to m5.8xlarge". Fixed in minutes.
Hibernation + spike prevention + right-sizing = $2,400/month total saved.
Start with a one-time analysis or continuous monitoring