Testcontainers VS Apache JMeter

There are a handful of ways to start Testcontainers, including JUnit4 annotations, JUnit5 annotations, ApplicationContextInitializer, JDBC URL scheme, and manual container lifecycle control. Let's choose manual control for now as the least "magic" option:

Repository

except the parent is wrong (at least the Java impl). see:

https://github.com/testcontainers/testcontainers-java/blob/m...

https://github.com/testcontainers/testcontainers-java/blob/m...

> I wonder if Rancher Desktop, et al, works with testcontainers.org?

I don't use testcontainers myself, but it looks like as long as you are using Rancher Desktop >= 1.0.1 you should be just fine.[1]

[1] https://github.com/testcontainers/testcontainers-java/issues...

Thanks for the feedback. You are right, and there are some other mock-up alternatives as well, a good one for developers https://testcontainers.com/

In this article, we will explore how to use Testcontainers and Exposed, a lightweight ORM framework for Kotlin, to create a controlled environment for testing MySQL Database operations.

Unfortunately, it still remains hard to use Testcontainers because of how wedded it is to junit4, five years after the release of junit 5. https://github.com/testcontainers/testcontainers-java/issues/970

Finally, we put the directory with generated contents (HTML, CSS, JS) into a tarball. Testcontainers library allows to copy files from a container to the OS but not directories. That’s why we need an archive inside the SchemaSpy container.

This repository provides a BuildImageTest that uses the buildpack to create a native image. It then tests the native image, using Testcontainers and JUnit. Building the native image with AOT processing, as part of a test, takes minutes not seconds, and should not be part of normal "inner loop" development. So the BuildImageTest is in a separate sourceSet and can be executed independently. This is a very powerful pattern, that I'm just getting started with. I would love to hear your thoughts on this pattern or other alternatives to it.

The list goes on. Check out the full list of Testcontainer modules.

Tools like Apache Benchmark (ab), K6, or JMeter can simulate hundreds or thousands of concurrent webhook deliveries. Start by establishing performance baselines (we recommend sub-second response times), then gradually increase load until performance degrades.

Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns.

Create test scripts using JMeter

Testing is a critical stage in the API lifecycle, ensuring that the API functions as intended and meets performance requirements. Unit testing, integration testing, and performance testing are essential components of this phase. Tools like Postman and JMeter are widely used for API testing. Postman allows developers to create and run automated tests, while JMeter is ideal for load testing and performance analysis. For instance, a study by SmartBear found that 82% of developers use Postman for API testing. Conducting thorough testing helps identify and fix issues early, reducing the risk of bugs in production.

Run Performance Tests: Use tools like JMeter to test load, stress, and endurance.

Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data.

Perform load tests using tools like K6 or Apache JMeter to simulate concurrent user requests.

Apache JMeter: A versatile performance testing tool that supports database testing via JDBC connections.

Apache JMeter: To test application performance under load.