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Retry-After: 0 is valid: it tells a client there is no server-requested wait before a follow-up request. If your retry loop treats that as its only pacing rule, it can retry immediately—and do so repeatedly if nothing else limits it. Keep retries bounded, apply backoff when appropriate, and retry only operations that are safe to repeat.
What does Retry-After: 0 mean?
RFC 9110 allows the Retry-After field to contain either an HTTP date or a non-negative integer number of seconds. Its grammar permits one or more digits, so 0 is valid. It means the server asks the client to wait zero seconds before a follow-up request—not that the client must retry, or that it should retry forever.
The standard says servers use the field to indicate how long a user agent ought to wait before making a follow-up request. It discusses the field in particular with 503 Service Unavailable responses, where it indicates expected service unavailability, and with 3xx redirections, where it gives a minimum wait before following the redirect. Those examples do not turn the header into a complete retry algorithm. See RFC 9110, section 10.2.3.
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Not automatically. Zero removes the delay requested by the server; it does not determine whether a retry is safe or useful. A client that uses the header as its sole pacing rule may send the next request immediately. That is an implementation consequence, not a requirement imposed by HTTP.
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Retry only when the failure is plausibly transient and the operation can safely be repeated. For an operation that is not inherently idempotent, automatic repetition can cause duplicate effects—for example, submitting the same payment or creating the same resource twice. Use an application-supported idempotency or deduplication mechanism where available; otherwise, avoid retrying such an operation automatically. Google Cloud’s guidance covers both safe retries and retry limits and idempotency and retry anti-patterns.
How do I add brakes to a retry loop?
Treat Retry-After as one input to a local policy, not as permission to retry without bounds. A practical policy for transient failures combines a cap on attempts, an overall deadline, and truncated exponential backoff with jitter. These are implementation recommendations supported by cloud retry guidance; RFC 9110 defines the header’s meaning but does not prescribe a full client algorithm.
- Decide which failures qualify. Retry only errors your application considers transient. Do not retry every status or every failure indiscriminately.
- Check whether repeating the operation is safe. Confirm idempotency or use a suitable idempotency key or deduplication mechanism before retrying operations that could have duplicate effects.
- Set independent limits. Choose a maximum attempt count and an overall elapsed-time deadline. Stop when either limit is reached, even if the server’s value is zero.
- Calculate a local backoff. Increase the delay between attempts exponentially, cap it at a chosen maximum, and add random jitter so many clients are less likely to retry in lockstep.
- Interpret the server delay deliberately. Parse either the integer-seconds form or the HTTP-date form. Decide how a valid server delay interacts with your local backoff and limits; in particular, do not let zero disable local pacing. The exact precedence is a client policy choice, not something RFC 9110 settles.
- Handle malformed values defensively. RFC 9110 specifies the valid forms but does not require one universal fallback for invalid values. Define a local fallback, such as ignoring an unparseable field and continuing with the bounded local policy.
Google Cloud Monitoring recommends truncated exponential backoff and a limit based on retry count or elapsed time. Google Cloud IAM illustrates delays of 1, 2, and 4 seconds plus a random fraction, with a cap and an overall deadline. Those values are an example in Google’s guidance, not universal constants to copy into every application. See Google Cloud Monitoring’s troubleshooting guidance and Google Cloud IAM’s retry strategy.
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Why can rapid retries make an outage worse?
When a service is overloaded, immediate repeated requests add more work while it is already struggling. If many clients receive the same response and retry at once, they can create synchronized waves of traffic. Exponential backoff spaces out attempts; jitter adds variation so clients are less likely to resume together. A bounded attempt count or deadline prevents a client from continuing indefinitely.
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These safeguards do not guarantee a service will recover, and they do not make every failure retryable. They reduce avoidable load and give the client a clear stopping point.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What should I verify in my HTTP client?
HTTP libraries do not all necessarily handle this value the same way, and behavior can vary by library and version. Check the documentation or implementation for the exact client you use rather than assuming Retry-After: 0 triggers a particular retry behavior. Confirm whether retries are automatic, which responses or errors trigger them, how the header is parsed, and whether your own attempt and deadline limits apply.
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Retry-Aftervalue, attempt number, chosen delay, and elapsed time. - Verify that a zero delay does not bypass your local backoff or retry cap.
- Check that retries stop at the configured attempt limit or deadline.
- Confirm that the operation is safe to repeat and that any idempotency or deduplication mechanism is actually applied.
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