Attribute supports GCP with full eBPF sensor coverage on GKE and Compute Engine. Project-based proportional attribution handles shared GCP projects. Vertex AI is covered at the sensor level: the dissector reads API calls at runtime, extracts model identifiers and usage metadata directly from traffic, and attributes AI spend to the calling workload and downstream customer.
WHAT YOU GET
→ Cost attribution on GKE and Compute Engine
→ Project-based proportional attribution for shared GCP projects
→ Vertex AI model-level cost breakdown by calling workload and customer
→ No label dependency, sensor reads Vertex AI usage identifiers directly from API traffic
→ GCP cost anomaly detection
→ Customer-level cost attribution across GCP infrastructure and AI workloads
→ Vertex AI spend visible alongside AWS and Azure AI costs in one view
BEST FOR
Teams on GCP who need unified infrastructure and AI cost attribution without exporting billing data or managing labels.