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# Google Cloud Run sandboxes are in public preview

**[Google Cloud](https://daily.dev/sources/gcp)** · 5 min read · 2 upvotes · 1 comments

## Summary

Google Cloud Run sandboxes are now in public preview, offering a native, secure, and ultra-fast runtime for executing untrusted code and AI agent workloads directly within existing Cloud Run service instances. Sandboxes start in milliseconds, enforce zero-trust security by default (no cloud credentials, no outbound network, read-only filesystem overlay), and run on already-allocated CPU/memory at no extra cost. Developers enable them with a single deployment flag and spawn them via subprocess calls. Integration is available with Google's Agent Development Kit (ADK) via a new CloudRunSandboxCodeExecutor, and with the vendor-agnostic ComputeSDK. Key use cases include LLM code interpreters, headless browsers for agents, and user-submitted code execution.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cloud.google.com/blog/topics/developers-practitioners/google-cloud-run-sandboxes-are-in-public-preview>

## Community discussion

Top comments from developers on daily.dev.

**@pdfopsdev** · 0 upvotes

> The non-obvious bit is these run inside your existing instance's allocated CPU/memory instead of spinning a fresh microVM per task — that's why it's ms cold-start and no extra cost, but it also means your isolation boundary is the sandbox runtime, not a hypervisor, so weigh that against your threat model for genuinely hostile code. Deny-by-default egress is the right default for LLM code-interpreter use: outbound is the exfiltration vector, and most "just run the model's Python" setups forget to close it.

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---

Tags: [#python](https://daily.dev/tags/python), [#ai-agents](https://daily.dev/tags/ai-agents), [#gcp](https://daily.dev/tags/gcp), [#serverless](https://daily.dev/tags/serverless)

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