Load Testing
Load testing checks a system's speed and reliability under planned traffic. The plan sets the number and pattern of users, requests, or jobs.
Another example
A checkout test sends 120 requests each second for 20 minutes. The system must stay within its p95 delay and error limits while the team also watches the load tool. Random traffic with no workload plan is not a useful load test.
Main parts
- 01workload model
- 02load generator
- 03performance thresholds
Use it when
Use this term when checking capacity and service goals under steady traffic that matches real use.
Do not use it when
Do not send uncontrolled load to production, and do not report system results if the load tool is the bottleneck.
Name used in code
workload model → virtual users → thresholds Before you ship
Check the environment and prepared test data (fixture). Define a result you can observe, failure and edge cases, isolation, stable inputs, useful error details, and cleanup. Set a time budget, owner, and flaky-test rule.
Outcome: Use Load Testing to gather repeatable evidence about this behavior or quality risk. User context: A checkout test sends 120 requests each second for 20 minutes. The system must stay within its p95 delay and error limits while the team also watches the load tool. Random traffic with no workload plan is not a useful load test. Validation approach: Load Testing. Why it fits: Use this term when checking capacity and service goals under steady traffic that matches real use. Do not use it when: Do not send uncontrolled load to production, and do not report system results if the load tool is the bottleneck. Test requirements: Name the system and test environment. Define prepared test data, other inputs, and the result you can observe. Include failure and edge cases, allowed error, isolation, and cleanup. Test operations: Make failures easy to diagnose. Control random or changing inputs. Name an owner. Keep the test fast and simple enough for its release gate. Acceptance criteria: The test fails for the known bug and passes after the fix. It repeats in the target environment, gives useful evidence, and does not expose or change unrelated data. Evidence and limits (evidence boundary): It is official for that source. Other platforms or teams may use the term in another way. Unknowns to confirm: Release gate, environment, prepared test data, allowed error, time budget, owner, and flaky-test rule.
Check this request
Review the current use of Load Testing. Definition: Load testing checks a system's speed and reliability under planned traffic. The plan sets the number and pattern of users, requests, or jobs. Release checks: Check the environment and prepared test data (fixture). Define a result you can observe, failure and edge cases, isolation, stable inputs, useful error details, and cleanup. Set a time budget, owner, and flaky-test rule. Before changing code, report the evidence you found, gaps, severity, and the smallest safe fix.