In short, Smart Performance Analysis detects possible performance issues.
What is under the hood?
While the test is running, Smart Performance Analysis will run online algorithms that processes the main metrics:
Internally Smart Performance Analysis represents the results of a test run as a collection of time segments, the amount of time segments and their size depends on the system under test's behavior. In fact, Smart Analysis, like a human, can describe system behaviors during a test run. For example:
- VU ramping
- Response time
- Number of requests being processed by target system
- Input rate
- Requests failures
Segments that are identified as bad from a performance perspective are marked by Insights in the main chart. This gives you a hint of where to start when analyzing your test result.
- 0:00 - 2:04: VUs are growing, and the system under test can handle that growth well
- 2:05: breakpoint, system reaches local throughput maximum, response time is increasing
- 3:17 - 4:90: system scales throughput and handling load well again
- after 8:00: system overloaded with requests, high percent of failures detected
Smart Performance Analysis detects the time segment where system throughput reach its maximum, and a further increase in VUs causes faster growth of the response time.
See next: Insights: URL table