How Google Uses Google Cloud Functions

2 engineering articles about Google Cloud Functions from Google's engineering team

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Scaling AI Agent Infrastructure with the MCP Stateless updates

The 2026-07-28 Model Context Protocol (MCP) specification replaces legacy stateful constraints with a fully stateless core, enabling cloud-native horizontal scaling, serverless deployments, and standard round-robin load balancing. This architectural shift introduces standardized HTTP headers for efficient routing without deep packet inspection, caching controls, and Multi Round-Trip Requests (MRTR) to handle interactive and long-running tasks without blocking connections. Developers can immediately begin migrating their agentic applications to this highly scalable infrastructure using the newly available beta SDKs for Python, TypeScript, Go, and C#.

CachingGoogle CloudGoogle Cloud FunctionsHugging FaceJavaScriptJSONKubernetesPythonRedisServer-Sent EventsServerlessShellTypeScript

Kurtis Van Gent, Alan Blount

10 min read

Includes Code

Google

Intermediate

Exploring serverless with a nebulous app: Deploy the same app to App Engine, Cloud Functions, or Cloud Run

The article discusses deploying a single application across three Google Cloud serverless platforms: App Engine, Cloud Functions, and Cloud Run.

DockerFirebaseFlaskGolangGoogle CloudGoogle Cloud FunctionsHTMLJAXMVP

@wescpy

7 min read

Includes Code

Has Summary

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