# 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.

Source: https://zop.dev/changelog/v1-24-0
Published: 2026-06-18 · Tags: zopnight, aws, gcp, bedrock, vertex-ai, recommendations

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Discover, cost, and manage your AI/ML estate.

## 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
- 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
- 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
- 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