Managed Inference on Google Cloud: Pairing the Gemini Enterprise Agent Platform with Cloud Run
Scored daily by a customisable AI persona to surface the most relevant engineering leadership news.
Managed inference on GCP with Gemini and Cloud Run is a perfect match for cloud infrastructure and AI/ML interests with high actionability.
Google Cloud's Gemini Enterprise Agent Platform (formerly Vertex AI) paired with Cloud Run enables a two-tier managed inference architecture where the platform handles model orchestration, memory, and reasoning while Cloud Run hosts custom application logic, front-ends, and MCP servers. The open-source Agent Development Kit (ADK) lets developers define agents in Python where tool functions with docstrings become the agent's decision logic, targeting models like Gemini 3.5 Flash for cost efficiency. This pattern decouples scaling and security—Cloud Run uses Identity-Aware Proxy (IAP) while the agent runtime manages state centrally—allowing model swaps without redeploying application code.