I’m interested in benchmarking Temporal and Camunda workflows using AI models to compare their performance in terms of latency, throughput, and reliability. Has anyone else done something similar? What AI models did you use, and what were your findings?
Using AI models to benchmark workflows is a great way to get quantitative data. I’ve found it especially helpful for understanding how different orchestration patterns affect performance.
Benchmarking with AI is effective, but ensure you’re testing under realistic conditions to get meaningful results.
AI-driven benchmarking provides valuable insights, but consider the overhead of setting up and interpreting the tests.
ai models help with benchmarking, but use realistic conditions