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What is Digital.ai Deploy?

Simplify and unify complex application deployments across diverse environments, such as mainframes, middleware, containers, and cloud platforms. Boost the speed of deployments while maintaining improved reliability. Provide self-service deployment capabilities while adhering to governance and control standards. This tool, formerly recognized as XebiaLabs XL Deploy, is vital for organizations aiming to leverage the benefits of agile methodologies, DevOps strategies, and continuous delivery. As software lifecycles quicken and the variety of deployment environments grows, managing application deployments without mistakes has become too complex for human intervention alone. Consequently, businesses must prioritize automation and standardization to navigate these challenges effectively. Designed specifically for enterprises with intricate environments, Digital.ai Deploy is crucial for teams responsible for deploying an expanding range of applications to a continually growing number of target systems, ensuring operational efficiency and consistency throughout the deployment journey. The increasing complexity of these deployments makes such tools not just beneficial but necessary for success in the modern digital landscape.

What is Azure Pipelines?

Optimize your build and deployment processes through Pipelines, which lets you dedicate more energy to creative endeavors rather than getting bogged down by technical complexities. Utilize cloud-based pipelines that support multiple operating systems such as Linux, macOS, and Windows. Effortlessly create applications suitable for web, desktop, and mobile environments. You have the flexibility to deploy your projects to any cloud service or on-premises infrastructure as required. The system accommodates various programming languages, including Node.js, Python, Java, PHP, Ruby, C/C++, .NET, Android, and iOS, ensuring comprehensive support for development activities. Seamlessly run tasks in parallel across different operating systems, including Linux, macOS, and Windows. Building and pushing images to container registries like Docker Hub and Azure Container Registry is straightforward, and these containers can be deployed to designated hosts or Kubernetes clusters with ease. Furthermore, you can delve into a wide range of community-generated tasks aimed at building, testing, and deploying, along with numerous extensions from services such as Slack and SonarCloud. Maintain continuous delivery (CD) of your software to any cloud platform, including Azure, AWS, and GCP, while also visualizing the deployment processes across multiple interconnected stages to enhance management. This methodology not only boosts efficiency but also encourages innovation and creativity in your development workflows. By leveraging these tools and resources, developers can significantly reduce time spent on repetitive tasks, allowing for more focus on strategic project advancements.