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Graph/retry-fallback-loop

AntiPattern

Retry and Fallback Loops

retry-fallback-loop

Rate-limited or partially failing requests get treated as normal fallbacks—while fixed retries, restart storms, and misclassified WebSocket/stream failures keep re-entering the same broken path, hiding the real contract violation and wasting resources until limits kill the process.

Node Details

Public graph metadata

Updated7/9/2026

Connections

30 linked nodes

MATCHESSolution

Track loading per request (e.g., per action or with a counter) instead of one global boolean, or guard/remain mounted so that remounting does not retrigger the fetch. E.g., use separate `loading` flags or increment/decrement an in-flight counter and render spinner only when the counter is > 0.

MATCHESSolution

handle a scenario when the code is fine but backend went offline — prefetching data with usePrefetchQuery. Tension: prefetch works.

MATCHESSolution

maybe you can swap your post to axios, because it has a timeout property — if you only want to do this once. Tension: some requests take too long to download content (about a minute). Outcome: can you in anyway batch your requests, so you are sending more requests in order to receive smaller responses?

MATCHESSolution

Disable retry — If the issue persists. Tension: it could be because the sdk is getting an error and appear to be hanging while it's retrying. Outcome: You could try disabling the retry and check if there is an error.

MATCHESSolution

And HTTP Client errors (if you're using `HttpClient` or `HttpClientFactory`) — On ASP.NET Core. Tension: you just need to opt-in. Outcome: options.CaptureFailedRequests = true;.

MATCHESSolution

Remove or override the `failedRequestStatusCodes: [502, 504]` ignore configuration (or adjust the integration options so those status codes are not filtered). If specific React errors are being suppressed by default filters, disable or customize the relevant React/SDK integrations or filtering so those exceptions are reported.

MATCHESSolution

you should be able to handle the error and replicate the behavior of the framework by using `$this->release()` — When the number of attempts made is less than the tries. Outcome: re-throwing the exception should cause it to send to your error reporting system and fail the job as expected.

MATCHESSolution

single worker running async loop. Outcome: So you have a single worker running async loop and you block that loop.

MATCHESSolution

Keep the websocket handler running with a receive loop after accept()

MATCHESSolution

adding Celery to your project — handling Stripe webhooks. Tension: This would allow for the processing of the webhook event payload to fail once (or more). Outcome: retry the operation.

MATCHESSolution

making sure you pace your requests to stay below those limits — API rate limits. Tension: allowing room for your normal operations, too. Outcome: handle any 429 responses gracefully to retry.

MATCHESSolution

bound it with a "progress ceiling" — a process emitting bytes but making NO semantic progress. Tension: a process emitting bytes but making NO semantic progress (livelock) would be shielded forever. Outcome: re-arms recovery after a long no-progress window even while bytes flow.

MATCHESSolution

adding a check for pending and rejected webservice requests to occur at the start of my root saga — when a page is refreshed or first loaded. Tension: any requests that were interrupted will be marked rejected.

MATCHESSolution

implementing this retry behavior all over the place — axiosInstance.js. Tension: handle the retry logic. Outcome: you could try using a response interceptor to abstract and handle the retry logic.

MATCHESSolution

could re-call just the endpoint. Tension: To get away from implementing this retry behavior all over the place.

MATCHESSolution

Wrap `fetchBaseQuery` with a custom async base query inside `retry`, inspect the result, and call `retry.fail(result.error)` when `result.error?.status === 401` to prevent further retry attempts.

MATCHESSolution

Add request throttling/rate limiting (e.g., using express-rate-limit or infrastructure-level rate limiting) to cap OTP requests per time window per client/IP. Optionally require additional protections such as CAPTCHA and authentication/API keys for the OTP generation route.

MATCHESSolution

Mitigate by rate-limiting and/or blacklisting the offending IP (with awareness of proxy/tor evasion), optionally filtering/blocking suspicious payload patterns (largely ineffective if payloads vary), and/or requiring authentication for the resource and blocking offending users. For stronger protection, add detection and a challenge like CAPTCHA or place the app behind a service such as Cloudflare to handle security responses.

MATCHESSolution

case "CallbackRouteError": return { error: "Invalid credentials!" } — in my `login.ts` server action in the switch case clause. Tension: to return the correct errors. Outcome: bypass this error.

MATCHESSolution

track errors across the Flux — stopSignal = Sinks.one();. Tension: signal termination when the threshold is reached. Outcome: takeUntilOther(stopSignal.asMono()).

MATCHESSolution

if (errorCount.incrementAndGet() >= maxErrors) — onErrorResume(error -> {. Tension: Skip failed paths. Outcome: return Mono.empty();.

MATCHESSolution

You can disable infinite retries using: — spring.kafka.producer.retries=1. Outcome: Handle the Send Failure via `Callback`.

MATCHESSolution

I am seeing an increase in latencies in requests that do succeed — I have a logic of the sort :. Tension: none of them enforce a timeout on the total duration of the request. Outcome: Then properly close the connection in a finally / try-resource block.

MATCHESSolution

future.cancel(true); — httpHardTimeoutScheduler.schedule(() -> {. Tension: if (!future.isDone() && !future.isCancelled()). Outcome: keep your latency low on your side of the wire.

MATCHESSolution

Tension: it was being looped infinitely, crashed and restarted every time. Outcome: fixes the issue.

MATCHESSolution

Restart=on-failure # don't restart on clean exit — `Restart=always` + `RestartSec=3` means 20 restarts per minute with no systemd-level circuit breaker. Tension: systemd kills the service if it crashes 5x in 5min. Outcome: lets the OS stop the cascade.

MATCHESSolution

Fixed 30s retry on 429 keeps hammering. — when clearly rate-limited. Tension: keeps hammering. Outcome: Exponential backoff + hard rejection during cooldown.

MATCHESSolution

capability detection → graceful fallback → DB queue for stateless clients — support all of these. Tension: There's no single mechanism that works everywhere. Outcome: capability negotiation is the only viable pattern.

MATCHESSolution

Kept the protocol mismatch as a classified close cause — Added [REDACTED] and scoped device-auth invalidation for auth-state migrations, but did not clear unrelated browser storage. Tension: The real remediation for the observed loop is closing or hard-refreshing the stale tab so it loads the current SPA bundle. Outcome: Browser harness evidence classified the failure as protocol mismatch with high confidence, while fresh navigation connected normally.

MATCHESSolution

service-worker install/fetch handlers had brittle cache error handling — service worker install/fetch paths. Tension: brittle cache error handling. Outcome: tolerant precache and explicit offline responses.

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