Best Test Environment Management Software for GitLab

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Compare the Top Test Environment Management Software that integrates with GitLab as of February 2026

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This a list of Test Environment Management software that integrates with GitLab. Use the filters on the left to add additional filters for products that have integrations with GitLab. View the products that work with GitLab in the table below.

What is Test Environment Management Software for GitLab?

Test environment management software helps development and QA teams provision, configure, and maintain consistent test environments throughout the software lifecycle. It centralizes control over infrastructure, data, and dependencies needed for reliable testing. The software often includes automation for environment setup, refresh, and teardown to reduce delays and conflicts. Many platforms integrate with CI/CD pipelines, DevOps tools, and cloud infrastructure for scalable testing. By improving environment stability and availability, test environment management software accelerates release cycles and improves software quality. Compare and read user reviews of the best Test Environment Management software for GitLab currently available using the table below. This list is updated regularly.

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    Apwide Golive
    Apwide Golive is an enterprise Test Environment Management (TEM) solution and Jira app that gives teams a centralized “environment hub” for tracking, booking, scheduling, and orchestrating pre-production environments and deployments so they can reduce manual work, avoid conflicts, and increase release quality and delivery speed. It integrates tightly with Jira and other DevOps tools (like Jenkins, GitLab, Azure DevOps) to surface real-time environment status, versions, and deployment history within existing workflows, replacing spreadsheets and disconnected calendars with up-to-date dashboards and live reporting. Users can visualize environment activities on timelines, book resources with conflict detection, subscribe to real-time notifications for changes, and share plans across Jira and Confluence while optimizing environment utilization and forecasting needs.
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