Best Continuous Delivery Software for Atlassian Rovo

Find and compare the best Continuous Delivery software for Atlassian Rovo in 2024

Use the comparison tool below to compare the top Continuous Delivery software for Atlassian Rovo on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    GitHub Reviews
    Top Pick
    GitHub is the most trusted, secure, and scalable developer platform in the world. Join millions of developers and businesses who are creating the software that powers the world. Get the best tools, support and services to help you build with the most innovative communities in the world. There's a free option for managing multiple contributors: GitHub Team Open Source. We also have GitHub Sponsors that help you fund your work. The Pack is back. We have partnered to provide teachers and students free access to the most powerful developer tools for the school year. Work for a government-recognized nonprofit, association, or 501(c)(3)? Receive a discount Organization account through us.
  • 2
    LaunchDarkly Reviews

    LaunchDarkly

    LaunchDarkly

    $12 per month
    LaunchDarkly is a feature management platform. You can dynamically control the availability of your application features to your customers. Modern operations and development teams use feature management to deliver more features and faster development cycles. This best practice allows engineering teams of all sizes to continuously deploy code and empowers business teams to manage features for their customers. LaunchDarkly Feature Management Platform allows leading teams to reduce risk and quickly launch their ideas. You can speed up software delivery by seperating code deployments and feature releases. You can deploy when you want and release when you are ready. Using feature flags to roll out new features and services, or migrate systems, can lower the risk of making a mistake. You can monitor and manage your features live. Instead of focusing on cosmetic changes, test robust functionality.
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