- #Neoload team server installation how to#
- #Neoload team server installation install#
- #Neoload team server installation code#
- #Neoload team server installation professional#
#Neoload team server installation how to#
Read the NeoLoad documentation to see How to use an Advanced action. #Neoload team server installation install#
Read the NeoLoad documentation to see How to install a custom Advanced Action. #Neoload team server installation professional#
More information on Kafka Producers can be found here PropertyĦ.1 (Enterprise or Professional Edition w/ Integration & Advanced Usage and NeoLoad Web option required) gitlab-ci.This advanced action allows you to publish messages to Kafka topics from NeoLoad
Configure the k6 test script to use the environment variable in it’s steps. Set the K6_DOCKER_OPTIONS variable with the Docker CLI option for environment files, for example -env-file review.env. Set it to depend on the review job, so it inherits the environment file. env file, for example, echo "ENVIRONMENT_URL=$CI_ENVIRONMENT_URL" > review.env. Capture the dynamic URL and save it into a. env file in scripts using standard JavaScript, With this, k6 can then use anyĮnvironment variables from the. To configure the k6 Docker container to use the file. env fileĪs a job artifact to be shared, then use a custom CI/CD variable we’ve provided named K6_DOCKER_OPTIONS The best approach is to capture the dynamic URL in a. The CI/CD YAML configuration example above works for testing against static environments,īut it can be extended to work with review apps orĭynamic environments with a few extra steps. If GitLab Pages is enabled, you can view the report directly in your browser. The latest Load Performance artifact available is always used, using the GitLab only displays the key performance metrics in the MR widget if k6’s results are saved Include : template : Verify/ load_performance : variables : K6_TEST_FILE : K6_OPTIONS : ' -duration 30s' When your k6 test is ready, the next step is to configure the load performance Refer to the k6 documentation for detailed information on how to write tests. Tool and can be used to run many kinds of performance tests. Write the load performance testĪfter the environment is prepared, you can write the k6 test itself. We strongly recommend not running these tests against a production environment. It’s also typically required to have representative test data in the target environment You should ensure it’s able to handle the Test Environment setupĪ large part of the effort around load performance testing is to prepare the target test environmentįor high loads. Refer to the k6 docs, especially the k6 testing guides,įor guidance on the above and more. You want to run, and how it will run (for example, the number of users, throughput, and so on). The first thing you need to do is determine the type of load test Set up the target test environment for load performance testing. Determine the test parameters such as throughput, and so on. Configure the Load Performance Testing jobĬonfiguring your Load Performance Testing job can be broken down into several distinct parts: Once on the target branch ( main, for example), before it displays in a The Load Performance report widget doesn’t display. If the Load Performance report has no data to compare, such as when you add the 
RPS: The average requests per second (RPS) rate the test was able to achieve. TTFB P95: The 95th percentile for TTFB. 
TTFB P90: The 90th percentile of how long it took to start receiving responses, aka the Time to First Byte (TTFB). Checks: The percentage pass rate of the checks configured in the k6 test. 
The key performance metrics that the merge request widget shows after the test completes are: Next, you need to configure the test environment and write the k6 test. GitLab checks this report, compares key load performance metricsīetween the source and target branches, and then shows the information in a merge request widget: How Load Performance Testing worksįirst, define a job in your. GET calls to a popular API endpoint in your application to see how it performs. This can be used to test how the backend or the server performs at scale.įor example, you can use Load Performance Testing to perform many concurrent Used to measure how web sites perform in client browsers, Load Performance TestingĬan be used to perform various types of load testsĪgainst application endpoints such as APIs, Web Controllers, and so on. Unlike Browser Performance Testing, which is Tool, for measuring the system performance of applications under To your application’s backend in GitLab CI/CD.
#Neoload team server installation code#
With Load Performance Testing, you can test the impact of any pending code changes
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