{"id":17984,"date":"2022-11-03T19:14:52","date_gmt":"2022-11-03T19:14:52","guid":{"rendered":"https:\/\/themeimmigration.com\/?p=17984"},"modified":"2023-08-24T06:59:53","modified_gmt":"2023-08-24T06:59:53","slug":"load-test-your-applications-in-a-ci-cd-pipeline","status":"publish","type":"post","link":"https:\/\/themeimmigration.com\/2022\/11\/03\/load-test-your-applications-in-a-ci-cd-pipeline\/","title":{"rendered":"Load test your applications in a CI CD pipeline using CDK pipelines and AWS Distributed Load Testing Solution AWS DevOps Blog"},"content":{"rendered":"

The Codefresh platform is powered by the open source Argo projects and workflows are no exception. The engine that is powering Codefresh workflows is the popular Argo Workflows project accompanied with Argo Events. Codefresh workflows redefine the way pipelines are created by bringing GitOps into the mix and adopting a Git-based process instead of the usual ClickOps. Variables let you place important pieces of data in different parts of the pipeline. The most common use for a variable is to define a value that can be used in a pipeline. All variables are stored as strings and can be modified at runtime.<\/p>\n