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Why move video rendering from the web server to a cloud worker?

Separate interactive requests from resource-intensive media processing while keeping durable job tracking.

Why move video rendering from the web server to a cloud worker?

Video rendering can consume substantial CPU, memory, and time. A worker lets the web application accept a request and track its progress without keeping the browser request responsible for the entire render.

Separate responsibilities

The API validates input and ownership, creates a job, and dispatches work. The worker retrieves trusted job data, processes media, saves output, and updates state. The portal reads that durable state. A worker is an architectural role; Google Cloud offers different execution products, and the appropriate choice depends on the workload.

Account for the new boundary

Remote execution introduces authentication, retries, deployment configuration, and observability needs. A queued request is not a completed video. Test delayed start and worker failure before assuming the separation makes the system reliable. Keep local fixtures so rendering can be diagnosed independently of cloud dispatch.

No. Durable state, retries, authorization, and monitoring still need explicit design.

No. It should follow a persisted job that can continue independently.

No. It describes a processing role that can be implemented using different execution services.

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