Just about everyone understands why it’s so important to run functional tests for APIs and microservices. However, a surprisingly large percentage of organizations shortchange the equally important task of placing these resources under realistic loads to determine what kind of performance they can expect in production.
In this informative session, Robert Schneider from WiseClouds will describe seven of the most frequent mistakes when running these vital tests. These include:
1. Not performance testing a full business process 2. Using hard-coded data to drive tests 3. Neglecting to calibrate the virtual users 4. Concentrating load generation from a single location 5. Not factoring in external API calls 6. Trying to simulate GUI security interactions via API 7. Failing to explore multiple load generation scenarios
