Best Free DevOps Software of 2025 - Page 6

Open Source Software Distribution Hub. Distr serves as the primary platform for overseeing all of your on-premises, virtual private cloud, and air-gapped client environments efficiently.

Cloudivize provides a state of the art visual operating environment for cloud users (primarily aws). Our vision is the first visual Cloud Operating System. It allows the evolution of cloud platforms from a text-based UI to a visual environment with our advanced visual UX. Our solution aims to improve cloud user productivity, optimize cloud use and cost management, and make the cloud more available for more people. Customers of Cloudivize benefit from greater operational efficiency and reliability through: * Operating visually and with in deployment context * Identify all assets in your account to improve asset control and management Clear asset usage presentation can optimize cloud usage and lower costs. * Increase overall team productivity through improved communication and collaboration.

Atmosly, our cutting-edge platform engineering solution, serves as a driving force for companies traversing the complex landscape of digital transformation. Acting as the cornerstone for fluid development and deployment workflows, Atmosly represents a self-service DevOps platform that heralds a transformative period of efficiency and empowerment for engineers. With its ability to seamlessly merge cloud services and source control, Atmosly streamlines application deployment across various settings, including development, testing, and production. The platform's powerful automation features cover environment provisioning, continuous release management, and the establishment of a secure, observable ecosystem. This comprehensive approach not only enhances productivity but also fosters a culture of innovation within organizations.

KitOps serves as a robust system for packaging, versioning, and sharing AI/ML projects, leveraging open standards to seamlessly integrate with existing AI/ML, development, and DevOps tools, while also being compatible with your enterprise container registry. It has become the go-to choice for platform engineering teams in the AI/ML domain seeking a secure method for packaging and managing their assets. With KitOps, you can create a comprehensive ModelKit for your AI/ML projects, encapsulating all elements necessary for local reproduction or production deployment. Additionally, the ability to selectively unpack a ModelKit allows team members to optimize their workflow by only accessing the components pertinent to their specific tasks, thereby conserving both time and storage resources. Given that ModelKits are immutable, can be signed, and reside within your established container registry, they provide organizations with an efficient means of tracking, controlling, and auditing their projects, ensuring a streamlined workflow. This innovative approach not only enhances collaborative efforts but also fosters consistency and reliability across AI/ML initiatives.