Measure request flow using flexible timing and units. Model payload throughput and reliability for teams. Download CSV, generate PDF, and communicate performance clearly fast.
| Total Requests | Duration | Payload (KB) | Requests/sec | Avg ms/request |
|---|---|---|---|---|
| 12,000 | 5 minutes | 8 | 40.0000 | 25.000 |
| 250,000 | 1 hour | 2.5 | 69.4444 | 14.400 |
| 3,600 | 120 seconds | 0.75 | 30.0000 | 33.333 |
Use examples as a sanity check when validating monitoring output or load-test summaries.
Requests per second is a normalized view of load across any measurement window. Converting milliseconds, minutes, or hours into seconds removes ambiguity when comparing tests. If r/s rises while average milliseconds per request also rises, you are approaching saturation. Use the per minute and per hour figures to translate monitoring alerts into daily capacity targets and staffing expectations. Document the sampling interval and traffic source so future comparisons remain statistically fair across teams.
Concurrency links demand to real users. When you supply concurrent users, the calculator derives per user request rates, which helps estimate edge limits and backend pool sizes. A jump from 200 to 400 users does not always double load if caching improves. Track per user r/s during peak periods to decide whether scaling should focus on compute, database, or network. Include think time assumptions, because rapid clicks can inflate rates beyond typical interactive behavior for humans.
Adding successful requests enables error count and error rate calculations. Error rate is not only a quality metric; it is a capacity symptom when timeouts and throttling appear. Compare error rate against service objectives and investigate when it changes at steady throughput. For incident reviews, record total, success, duration, and the computed rates to support reproducible analysis. Segment successes by status code groups to distinguish client issues from server faults during load.
Payload size converts request rate into data throughput. The calculator multiplies average payload bytes by requests per second to show kilobytes and megabytes per second. Use this to size links, gateways, and message queues, and to validate CDN and compression strategies. When throughput is high, reducing payload by small percentages can delay expensive upgrades. Measure both request and response sizes; asymmetric payloads can stress uplinks differently than downlinks.
Treat the outputs as a compact performance summary. Pair r/s with average milliseconds per request to detect headroom, then add success rate to confirm stability. Use the history table for quick comparisons between test runs, environments, or feature flags. Export CSV for spreadsheets and download PDF for reports, ensuring stakeholders see consistent, timestamped calculations. When optimizing, change one variable at a time and rerun to confirm the metric movement is causal.
Provide total requests and a positive duration. The tool converts your chosen time unit to seconds, then computes rates and average time per request. Optional fields add reliability, throughput, and per user metrics.
Use the same window your logs or monitoring used. Short windows show burst behavior, while longer windows smooth spikes. For load testing, match the steady state period after warmup for more representative rates.
It is the reciprocal view of throughput: duration divided by total requests. If average milliseconds increases while rate stays high, queues may be forming. Combine it with error rate to spot overload patterns.
Payload size estimates bandwidth. The calculator multiplies average payload bytes by requests per second and reports KB/s and MB/s. Use it to validate gateway limits, queue sizing, and compression benefits.
They quantify reliability during load. Rising error rate at similar throughput can signal capacity limits, dependency failures, or throttling. Track trends alongside latency to decide whether to scale, optimize, or add rate limiting.
Yes. Each submit adds a row to the session history table. Download CSV for analysis, or PDF for sharing. Use Reset to clear the session history when starting a new experiment batch.
No history yet. Submit a calculation to start building a small local history in this session.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.