SNS Delivery Volume Estimator
Estimate monthly SNS deliveries by modeling publishes, matched fan-out (after filter policies), and retry multipliers for failure scenarios.
Inputs
Publishes (per month)
Total messages published to the topic.
Subscriptions per topic
Average subscribers for the topic or workload.
Match rate (%)
Percent of subscriptions that receive each publish.
Retry multiplier (%)
Buffer for failed deliveries and retries.
Peak publish multiplier (%)
Applies to publish volume only.
Scenario presets
Use publishes and deliveries in the AWS SNS cost calculator.
Results
Matched fan-out
10
Baseline deliveries
1,200,000,000
Total deliveries
1,320,000,000
Retry multiplier
110%
Match rate
40%
Baseline vs peak
| Scenario | Deliveries | Fan-out | Retry |
|---|---|---|---|
| Baseline | 1,320,000,000 | 10 | 110% |
| Peak | 2,376,000,000 | 10 | 110% |
How to get your inputs
- Publishes: use CloudWatch metrics for NumberOfMessagesPublished.
- Fan-out: count subscriptions that match filter policies.
- Retries: add a buffer for failed or delayed endpoints.
Next steps
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Example scenario
- 120M publishes/month, 25 subscriptions, 40% match rate, 110% retry buffer.
- Peak scenario for incident-driven delivery spikes.
Included
- Matched fan-out from subscriptions per topic and match rate.
- Baseline deliveries from publishes and fan-out.
- Retry multiplier to account for failed deliveries.
Not included
- Per-request pricing (use the SNS cost calculator).
- Downstream service costs (SQS, Lambda, email).
How we calculate
- Matched fan-out = subscriptions x match rate.
- Baseline deliveries = publishes per month x matched fan-out.
- Total deliveries = baseline deliveries x retry multiplier.
FAQ
Should I count subscriptions that rarely match?
No. Use matched fan-out after filter policies so you only count subscribers that receive each publish.
Do retries affect delivery volume?
Yes. If endpoints fail, retries increase delivery attempts and total request volume.
What if I have multiple topics?
Run the estimator per topic or use weighted averages for publishes and fan-out.
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Disclaimer
Educational use only. Not legal, financial, or professional advice. Results are estimates based on the inputs and assumptions shown on this page. Verify pricing and limits with your providers and documentation.
Last updated: 2026-01-30