I’m currently exploring the best workflow engines for orchestrating microservices in cloud-native environments. Recently, I came across the AI Copilot Workflow Generation feature, which seems promising for creating ready-to-run blueprints. Has anyone used this feature to produce side-by-side comparisons of Temporal and Camunda? I’m particularly interested in understanding the strengths and trade-offs of each approach in terms of scalability, fault tolerance, and ease of implementation. How have you used AI Copilot to generate workflows for these platforms?
I’ve used AI Copilot to generate workflows for both Temporal and Camunda. What I found most helpful was creating a table to compare the features once the workflows were generated. This approach allowed me to visually highlight the differences in scalability and fault tolerance.
One of the best ways to compare these is by testing their performance under load. AI Copilot can help generate a base blueprint for both systems, but don’t forget to add your own test cases to simulate real-world conditions.
Ensure you document the process thoroughly as you generate workflows. This will not only help in comparisons but also in explaining the choices to your team.
use ai copilot to generate blueprints and then apply real-world test cases to validate their performance