Measure an endpoint's response time over several samples: min, max, average, median and p95.
Performance
Performance Testing Tools
Performance problems are cheapest to find early. These tools give you quick, repeatable measurements — response time distribution, payload size and compression, requests per second — for a single endpoint or a side-by-side comparison of two.
For full load tests you still need a dedicated runner; the data generators here produce the parameter files and datasets that JMeter, k6, Gatling and similar tools consume, so a realistic test is minutes rather than hours away.
Tools in this category
Analyze response size: raw vs compressed bytes, headers size, JSON structure weight and largest fields.
Performance
Run a small, safe benchmark against a public endpoint (bounded requests and concurrency) and get throughput and latency percentiles.
Performance
Compare response times and sizes of two endpoints (e.g. v1 vs v2, staging vs production) side by side.
Performance
Generate large parameter datasets (users, tokens, ids, payloads) for k6, JMeter, Gatling and Locust load tests.
Performance
Generate performance test inputs with realistic distributions: think times, request mixes, payload sizes and ramp profiles.
Performance
Guides
More guides Learn more
Performance
Performance & Security Resilience Testing
How to test a product under load, failure and attack: load, stress and soak tests with real targets, failure injection, the OWASP baseline and what to record.
PerformanceWhat is Performance Testing?
Performance testing explained: load vs stress vs spike vs soak tests, the metrics that matter (p95, throughput, error rate), planning a first test, and tools.