Daily cost breakdowns by resource, team, and provider. Budget alerts before overruns. Monthly trend analysis. Every dollar saved by ZopNight is measured and reported. ZopNight applies cloud cost reporting 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
- Cloud Cost Reporting for EC2
- Cloud Cost Reporting for RDS
- Cloud Cost Reporting for EKS
- Cloud Cost Reporting for ECS
- Cloud Cost Reporting for Lambda
- Cloud Cost Reporting for ElastiCache
- Cloud Cost Reporting for Redshift
- Cloud Cost Reporting for SageMaker
- Cloud Cost Reporting for EMR
- Cloud Cost Reporting for ASG
- Cloud Cost Reporting for S3
- Cloud Cost Reporting for EBS
- Cloud Cost Reporting for CloudFront
- Cloud Cost Reporting for DynamoDB
- Cloud Cost Reporting for App Runner
- Cloud Cost Reporting for Compute Engine
- Cloud Cost Reporting for Cloud SQL
- Cloud Cost Reporting for GKE
- Cloud Cost Reporting for Cloud Run
- Cloud Cost Reporting for Memorystore
- Cloud Cost Reporting for BigQuery
- Cloud Cost Reporting for Cloud Functions
- Cloud Cost Reporting for Artifact Registry
- Cloud Cost Reporting for Azure VMs
- Cloud Cost Reporting for AKS
- Cloud Cost Reporting for Azure SQL
- Cloud Cost Reporting for Azure Functions
- Cloud Cost Reporting for VMSS
- Cloud Cost Reporting for Databricks
- Cloud Cost Reporting 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.