Exercise 3: Does GCP Require a Service Switch the Way Lambda Does? — Possible Solution
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No, this move does not require switching services on GCP the way it
does on AWS. On AWS, Lambda's real 15-minute execution ceiling is a
hard architectural boundary for every plan - moving past it means
adopting a genuinely separate compute service, Fargate, with its own
deployment model.

On GCP, a short 2nd-generation Cloud Function already IS a Cloud Run
service underneath - the real architectural merge this chapter
covers. Growing that same workload into something longer-running
simply means continuing to use Cloud Run directly (or a 2nd-gen
function with an HTTP-triggered 60-minute timeout), rather than
migrating to some separate, unrelated container platform. The
underlying service never changes - only how much of Cloud Run's own
capability the team chooses to use directly.

ANSWER: No, GCP does not require switching services the way AWS does.
Because 2nd-generation Cloud Functions are already deployed as real
Cloud Run services, growing from a short function into a longer-
running container workload means using more of Cloud Run's own
capability directly - not migrating to a separate platform the way
moving from Lambda to Fargate requires.

WHY THIS WORKS AS AN ANSWER
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This correctly contrasts AWS's real Lambda-to-Fargate service switch
with GCP's own unified architecture, directly applying the chapter's
central finding that Cloud Functions 2nd gen and Cloud Run are not
separate services but the same underlying deployed artifact.