Discover, cost, and manage your AI/ML estate.
AWS Bedrock and GCP Vertex AI support
ZopNight now covers AWS Bedrock and GCP Vertex AI end-to-end — discovering and managing the full estate of agents, models, knowledge bases, feature stores, endpoints, and jobs, with per-resource cost and metrics. Schedule recommendations can be applied in one click, and recommendation coverage and accuracy both widen across AWS and GCP.
What's in this release
- New ZopNight: full AWS Bedrock support — discovers and manages agents, knowledge bases, guardrails, foundation/custom/imported models, provisioned throughput, flows, and customization, batch-inference, and evaluation jobs, with per-resource cost and metrics
- New ZopNight: full GCP Vertex AI support — endpoints, models, indexes, feature stores, datasets, Workbench notebooks, reasoning engines, and training, tuning, batch-prediction, and pipeline jobs, with per-resource cost and metrics
- New ZopNight: broader recommendation coverage — license-cost advisories (AWS + GCP), SageMaker GPU-idle endpoints, a revived NAT → VPC-endpoint advisory, and more orphan-cleanup rules (idle dashboards, unused alarms, idle GCP load balancers, abandoned S3 multipart uploads)
- Improved ZopNight: apply a Schedule recommendation in one click — no need to recreate the schedule by hand
- Improved ZopNight: more accurate recommendations — wider metric coverage (memory, GPU, and database-capacity signals across AWS and GCP) and a steadier 30-day scoring window reduce noisy or premature recommendations