Requests Per Second
Calculator
Results
- Average requests per second
- 57.87037
- Peak requests per second
- 173.611111
- Requests per minute
- 3,472.222222
Computing results
| Average requests per second | 57.87037 |
| Peak requests per second | 173.611111 |
| Requests per minute | 3,472.222222 |
formula-map diagram
- Average requests per second
- 57.87037
- Peak requests per second
- 173.611111
- Requests per minute
- 3,472.222222
Computing relationship
Formula
RPS = requests_per_day ÷ 86400= 57.87037037037
Note
This is a simplified model: it applies the standard computing formula to the numbers you entered and ignores protocol overhead, compression variability, retries, contention and other real-world effects. Size your systems with measured data.
More in Technology and computing
See all →Frequently asked questions
What does this calculator convert?+
It converts a total daily traffic volume into an average requests-per-second figure, which is the metric most commonly used to size servers, plan capacity, and configure rate limits. Divide total daily requests across the seconds in a day to get the baseline load.
Why is the average requests-per-second not enough for capacity planning?+
Traffic is rarely evenly distributed across 24 hours — most sites and applications see pronounced peaks during business hours or specific events, meaning the actual peak requests-per-second can be several times higher than the daily average. Infrastructure should be sized for peak load, not average load.
How much higher is peak traffic typically than average traffic?+
It varies widely by application, but a common rule of thumb is that peak-hour traffic can be 2-5 times the average, and unusual events like a marketing campaign or a viral moment can spike traffic far beyond that. Historical traffic logs are the best source for an accurate peak-to-average ratio.
How do I use this figure to size a server or estimate cost?+
Compare the requests-per-second figure (ideally the peak, not just the average) against your server or service's documented capacity per instance, then determine how many instances or what tier of service you need with some margin for growth and traffic spikes.
Does this account for different types of requests having different costs?+
No, it treats all requests as equal, but in practice a request that runs a complex database query costs far more server resources than one serving a static file. Weight your capacity planning toward your heaviest, most resource-intensive request types, not just the raw count.