What components are in a GCP process-flow architecture?

A GCP process-flow architecture typically includes compute, storage, networking, security, and monitoring components. This diagram on Diagrams.so shows "GCP AI Agent Evaluation and Continuous Monitoring" with all key services connected in a production-ready pattern. Fork it to customize for your specific use case.

How do I design a process-flow architecture on GCP?

Designing a process-flow architecture on GCP involves selecting the right managed services, defining data flows, security boundaries, and observability. This Diagrams.so template "GCP AI Agent Evaluation and Continuous Monitoring" is a production-ready starting point — fork it, customize it, and download as .drawio or export as PNG/SVG.

GCP AI Agent Evaluation and Continuous Monitoring

About This Architecture

Continuous evaluation architecture for AI agents on GCP featuring Cloud Run for agent serving, Vertex AI for model evaluation, BigQuery for evaluation metrics storage, Cloud Functions for automated test triggers, and Cloud Monitoring with alerting. Implements the shift from manual vibe checks to automated evaluation pipelines. Fork this diagram on Diagrams.so to customize the evaluation criteria or add additional agent testing stages for your AI reliability pipeline. Source: https://cloud.google.com/blog/topics/developers-practitioners

About This Architecture

GCP AI Agent Evaluation and Continuous Monitoring

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