Best Automated Testing Software for Red Hat OpenShift

Find and compare the best Automated Testing software for Red Hat OpenShift in 2025

Use the comparison tool below to compare the top Automated Testing software for Red Hat OpenShift on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Harness Reviews
    Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.
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    Digital.ai Release Reviews
    Digital.ai Release, previously known as XebiaLabs XL Release, serves as a specialized tool for release management within Continuous Delivery (CD) workflows. This platform empowers teams throughout an organization to design and oversee releases, streamline IT tasks through automation, and enhance release durations by scrutinizing and refining their processes. By facilitating automation and orchestration, it provides comprehensive visibility into release pipelines, even on an enterprise scale. Users can efficiently manage complex release pipelines while planning, automating, and analyzing every aspect of the software delivery process. It allows for the control and enhancement of software delivery efforts, ensuring that users are always informed about the status of both automated and manual tasks within the release pipeline. The tool helps identify potential bottlenecks, minimize errors, and mitigate the risks associated with release failures. Additionally, it offers the capability to monitor the entire release process, providing up-to-date status information across various tools and systems, from code development to production deployment. Users can also personalize dashboards to emphasize the most crucial data for each specific release, enhancing the overall management experience. This level of customization ensures that teams can focus on what matters most, leading to more efficient and successful releases.
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