The document discusses the load testing process, which involves placing demand on a system to evaluate its performance metrics such as memory leaks and latency. It highlights challenges like managing virtual machines and operational overhead, while also pointing out benefits like instantaneous startup and efficient testing using Docker containers. The process includes starting JMeter server and client containers, running tests, and managing the lifecycle of these containers.

1. Sitting in a tree…

2. Load Testing

3. Process of putting demand
on a system and measuring
its response*
Wikipedia…duh

4. Response?
• Memory leaks
• Latency
• Deadlocks
• Thread contention
• Buffer overflows

7. 100
users

12. Problems?
• Foreman
• Data change == New VM
• Spin up - spin down latency
• Management hell

16. Benefits
• One time Docker image creation
• Data change == Bring it on!
• Instantaneous startup
• Adventurous testing!

24. driver.sh
1. Start n JMeter server containers
2. Start the JMeter client containers
3. Invoke the tests
4. Wait for completion
5. Remove containers

26. ?