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How to trigger Test Automation with Xray, Jira & GitLab | Xray Tutorial

Our project is managed in Jira, including testing with Xray (e.g. using Jira & Xray for single-source of truth of testing results) and our source code (including for automated tests) and CI/CD is managed in GitLab. In this scenario, we want to trigger automation in GitLab from the Xray side and report the results back to Xray and Jira.

Generate and track in-sprint tests with Xray and Test Modeller

As complex applications change faster than ever, testers must create, prioritize and maintain tests with greater speed and velocity than ever before. In-sprint testing cannot rely on slow and manual test case creation, and maintaining repetitive scripts manually becomes impossible in short iterations. Testing requires an automated and systematic approach to test creation so you can reliably update tests based on the latest changes.

How a journey to the cloud helps a fintech leader deliver quality products

Securrency is a technology products company that delivers a complete suite of security and compliance tools. Their complex suite of financial technology needs to have top performance and security. Currently, Securrency has 50 developers working across their multiple software products and this software requires thorough testing. They have a dedicated QA team that does manual and automated testing.

Get started with DevOps: principles, best practices and tips

DevOps merges operational and development teams to boost the speed of software development and ensure that the final product is delivered as clean and consistent as possible. Ultimately, DevOps allows teams to increase product quality and speed of delivery in even the most highly competitive environments. The idea of weaving together disparate teams to accelerate development might appeal to many organizations, but some common challenges may come up before implementing a DevOps environment.

Consolidate performance testing in Jira with Xray and NeoLoad

Performance testing has become increasingly distributed, as teams do more testing at each stage of the software development life cycle. While the business benefits of performance testing are undeniable, like finding defects earlier when it’s easier and less expensive to fix them — it makes managing all your tests more challenging.