Reliability recommendations cover Kubernetes workload health (missing requests, missing limits, single-replica deployments, HPAs at max replicas) and cloud-native reliability checks (no Multi-AZ on RDS, missing backups, single-zone managed services). Each finding includes severity, blast radius, and remediation guidance. ZopNight applies workload reliability 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
- Workload Reliability for EC2
- Workload Reliability for RDS
- Workload Reliability for EKS
- Workload Reliability for ECS
- Workload Reliability for Lambda
- Workload Reliability for ElastiCache
- Workload Reliability for Redshift
- Workload Reliability for SageMaker
- Workload Reliability for EMR
- Workload Reliability for ASG
- Workload Reliability for S3
- Workload Reliability for EBS
- Workload Reliability for CloudFront
- Workload Reliability for DynamoDB
- Workload Reliability for App Runner
- Workload Reliability for Compute Engine
- Workload Reliability for Cloud SQL
- Workload Reliability for GKE
- Workload Reliability for Cloud Run
- Workload Reliability for Memorystore
- Workload Reliability for BigQuery
- Workload Reliability for Cloud Functions
- Workload Reliability for Artifact Registry
- Workload Reliability for Azure VMs
- Workload Reliability for AKS
- Workload Reliability for Azure SQL
- Workload Reliability for Azure Functions
- Workload Reliability for VMSS
- Workload Reliability for Databricks
- Workload Reliability 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.