Prompt

How do I fix push notification retries not working?

Technology / API Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

If push notification retries aren’t working, the fix usually depends on where the retry logic lives:

1) Confirm who is responsible for retries

There are 3 common layers:

  • Your app/backend: you queue and resend failed notifications
  • Push provider (FCM/APNs/OneSignal/etc.): it may retry transient delivery failures internally
  • Your worker/job system: it handles retrying failed API calls to the push service

If retries “don’t happen,” it’s often because the failure is happening outside the retryable layer.


2) Check the failure type

Retries should usually happen only for transient errors, like:

  • network timeouts
  • 5xx server errors
  • rate limiting (429)
  • temporary service unavailable

Retries usually should not happen for permanent errors, like:

  • invalid device token
  • expired token
  • unauthorized credentials
  • malformed payload

If your system treats all failures as permanent, retries won’t trigger.


3) Verify your retry policy

Make sure you actually have:

  • a retry count set
  • exponential backoff enabled
  • a delay between attempts
  • retry conditions mapped correctly

Example retry policy:

  • attempt 1 immediately
  • retry after 1 min
  • retry after 5 min
  • retry after 30 min
  • then give up / dead-letter

Also ensure the max retry count isn’t set to 0 or 1.


4) Check the job queue / worker configuration

If you use a queue (Sidekiq, Celery, BullMQ, SQS, etc.), confirm:

  • failed jobs are not being deleted immediately
  • retries are enabled for that queue/worker
  • the worker process is running
  • visibility timeout / ack behavior isn’t causing premature loss
  • jobs are not going to a dead-letter queue too early

A common issue is: the send job fails, but the worker catches the error and logs it without rethrowing it, so the queue thinks it succeeded.


5) Inspect provider response codes

Look at the exact response from APNs/FCM/your provider:

  • 401/403 → auth issue, no retry until fixed
  • 400 → bad request, usually no retry
  • 404/unregistered token → stop sending to that token
  • 429 → retry with backoff
  • 500/503 → retry

If you’re not parsing provider errors properly, your retry logic may be skipping valid retry cases.


6) Make sure retries aren’t being deduplicated away

Some systems de-duplicate notification requests by:

  • message ID
  • idempotency key
  • job fingerprint
  • message hash

If retries reuse the same ID and your queue treats it as a duplicate, the retry may be suppressed.


7) Check timeouts

Sometimes retries “don’t work” because:

  • the request hangs too long
  • the worker times out and crashes
  • the retry framework never gets the failure callback

Set:

  • reasonable HTTP client timeout
  • job timeout longer than request timeout
  • retry on timeout exceptions

8) Look for swallowed exceptions

A very common bug:

try {
  sendPush();
} catch (e) {
  console.error(e);
  // missing: throw e;
}

If you catch the error and don’t rethrow it, the retry system may think the job succeeded.


9) Validate credentials and environment

Retries won’t help if the root cause is:

  • expired APNs auth key
  • invalid FCM service account
  • wrong bundle ID / package name
  • wrong app environment (sandbox vs production)

In those cases, fix the configuration first.


10) Add observability

To debug quickly, log:

  • notification ID
  • attempt number
  • provider response code/body
  • exception type
  • retry scheduled time
  • final outcome

This will show whether retries are:

  • never scheduled
  • scheduled but not executed
  • executed but failing again
  • discarded as permanent failures

Quick checklist

  • Retry enabled in worker/queue
  • Errors are rethrown after catch
  • Backoff configured
  • Only transient errors retried
  • No deduplication blocking retries
  • Credentials valid
  • Timeouts set correctly
  • Worker process healthy

If you want, I can help you troubleshoot this for a specific stack like FCM/APNs, Node/BullMQ, Python/Celery, AWS SNS/SQS, or OneSignal.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.