Capybara VS gatling.io

Cuba takes help from a lot of other technologies to bring the best of everything. For example, the responses in Cuba are the optimized version of the Rack responses. The templates are integrated via Tilt and testing via Cutest and Capybara. - Source: dev.to / about 2 months ago

Engineering at Aha! Focuses on using and improving the Capybara test framework. We have added many helpers and additional functionality to make working with Capybara easy. Testing at mobile widths is another chance to improve our testing tooling. Here is the incremental approach that we used to add mobile testing helpers. - Source: dev.to / over 1 year ago

Since the Capybara library drives the underlying tests, Minitest also has the same syntax. - Source: dev.to / over 1 year ago

The nice thing about partial templates is that templates are unit-testable with View specs (or similarly in Minitest) and the rendered output can even be verified using Capybara matchers. - Source: dev.to / almost 2 years ago

To piggyback: This would be a type of browser test, so you would want to use something like Cypress (https://github.com/testdouble/cypress-rails) or Capybara (https://github.com/teamcapybara/capybara). RSpec has a good integration with Capybara. Cypress is JS-based so it will require some additional config. Source: about 2 years ago

Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / 2 months ago

Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 10 months ago

New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: about 1 year ago

Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: about 1 year ago

I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago