Smart defaults from 14 days of CloudWatch, Cloud Monitoring, or Azure Monitor metrics using Welford online statistics. Monitor, recommend, or autopilot mode. Adopt-or-replace flow protects existing customer policies. 6 audit rules (RC-ASC-001..006) catch missing autoscalers, hot or cold targets, and short cooldowns. ZopNight applies autoscaler tuning 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
- Autoscaler Tuning for EC2
- Autoscaler Tuning for RDS
- Autoscaler Tuning for EKS
- Autoscaler Tuning for ECS
- Autoscaler Tuning for Lambda
- Autoscaler Tuning for ElastiCache
- Autoscaler Tuning for Redshift
- Autoscaler Tuning for SageMaker
- Autoscaler Tuning for EMR
- Autoscaler Tuning for ASG
- Autoscaler Tuning for S3
- Autoscaler Tuning for EBS
- Autoscaler Tuning for CloudFront
- Autoscaler Tuning for DynamoDB
- Autoscaler Tuning for App Runner
- Autoscaler Tuning for Compute Engine
- Autoscaler Tuning for Cloud SQL
- Autoscaler Tuning for GKE
- Autoscaler Tuning for Cloud Run
- Autoscaler Tuning for Memorystore
- Autoscaler Tuning for BigQuery
- Autoscaler Tuning for Cloud Functions
- Autoscaler Tuning for Artifact Registry
- Autoscaler Tuning for Azure VMs
- Autoscaler Tuning for AKS
- Autoscaler Tuning for Azure SQL
- Autoscaler Tuning for Azure Functions
- Autoscaler Tuning for VMSS
- Autoscaler Tuning for Databricks
- Autoscaler Tuning 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.