Tie cloud cost to business outcomes. ZopNight ingests product metrics through Push API, CSV upload, or Pull API and joins them with cost data to produce cost per MAU, per order, per request, and per signup. Recommendations rank by impact on unit economics, not raw dollar savings. ZopNight applies unit economics to non-production across AWS, GCP, and Azure, measured against real usage. See it by cloud or by service below, and the discipline in FinOps.
By cloud
By service
- Unit Economics for EC2
- Unit Economics for RDS
- Unit Economics for EKS
- Unit Economics for ECS
- Unit Economics for Lambda
- Unit Economics for ElastiCache
- Unit Economics for Redshift
- Unit Economics for SageMaker
- Unit Economics for EMR
- Unit Economics for ASG
- Unit Economics for S3
- Unit Economics for EBS
- Unit Economics for CloudFront
- Unit Economics for DynamoDB
- Unit Economics for App Runner
- Unit Economics for Compute Engine
- Unit Economics for Cloud SQL
- Unit Economics for GKE
- Unit Economics for Cloud Run
- Unit Economics for Memorystore
- Unit Economics for BigQuery
- Unit Economics for Cloud Functions
- Unit Economics for Artifact Registry
- Unit Economics for Azure VMs
- Unit Economics for AKS
- Unit Economics for Azure SQL
- Unit Economics for Azure Functions
- Unit Economics for VMSS
- Unit Economics for Databricks
- Unit Economics for ML Compute
Questions we get a lot.
If yours isn't here, email us and we'll answer directly.
Where should I start?
Start with the FinOps overview for the discipline that ties it together, then use the specific guide, cloud, or location page for the task you are on.
Is production at risk?
No. Production is excluded by default; ZopNight acts only on the non-production resources you choose.
What access does ZopNight need?
A read-only role to start. Discovery, cost reporting, and recommendations all run read-only, and you enable actions when you are ready.
Which clouds are supported?
AWS, GCP, and Azure from one platform, including Databricks across all three. Schedules, groups, overrides, and recommendations work the same way regardless of provider.