How can I scale load tests in Python?
An example of an AI chatbot conversation about scaling load tests using Python.
How can I scale load tests in Python?
You can scale load tests in Python by using libraries like Locust or JMeter. Would you like to know more about these tools?
Yes, can you explain how to use Locust for scaling?
Locust allows you to define user behavior with Python code and can simulate millions of users. You can run it in distributed mode to scale your tests.
What are the benefits of using Locust over JMeter?
Locust is more Pythonic and easier to write tests in code, while JMeter has a more GUI-based approach. It depends on your team's preference.
Can I integrate Locust with CI/CD pipelines?
Absolutely! You can run Locust tests as part of your CI/CD pipeline using tools like Jenkins or GitHub Actions.
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