How Do I Refresh OAuth 2.0 Tokens at Scale without Race Conditions Across Parallel Requests?

OAuth 2.0 refresh-token rotation can create a serious concurrency failure when multiple workers attempt to refresh the same expired or near-expiry credential simultaneously, as some providers invalidate the old refresh token after its first use and may even revoke an entire token family after reuse. Refreshing early or relying on process-local locks does not solve this shared-state problem in distributed environments; instead, applications need a distributed, per-credential critical section that rechecks token validity after acquiring a lock and atomically saves the new access token, refresh token, expiry, and related metadata. Lock implementations must account for crashes, lease expiration, ownership-safe release, and stale workers through mechanisms such as owner tokens, fencing tokens, or version checks. Systems should also preserve an existing refresh token when a provider does not return a replacement, explicitly handle failures occurring after a provider rotates a token but before the application persists it, and avoid treating every invalid_grant response as an immediate reauthorization requirement. Access tokens should be refreshed with a buffer before expiry, while unexpected invalid-token responses should enter the same coordinated refresh path and trigger at most one carefully limited retry, particularly for non-idempotent requests. In multi-tenant integrations, credential lifecycle handling must remain isolated by customer connection or OAuth grant, and managed services such as Prismatic can centralize refresh coordination and token persistence while integrations may still need to retrieve updated credentials after an in-flight request fails.

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