Best DevOps Software for Linux

End-to-end “Business Intelligence” for your IT organization. Promoting transparency, control, and productivity across environments, release and data. Promote scaled agility across your IT fabric. A complete environment and release picture supporting collaboration across teams and providing the insight that organizations require today to drive competitive innovation. Improve visibility of your complex IT fabric allowing better collaboration and decision making. Manage complex computer systems & the end-to-end IT fabric through a centralized portal. Measure test environment usage to reduce IT spend and increase project productivity. Eliminate chaotic and non-repeatable operations by establishing control via centralized runbooks and using automation on regular & time consuming tasks. Manage change and contention effectively whilst providing real time health status and powerful analytics to determine business impact.

For data teams looking to increase the availability of trusted data, Astronomer provides Astro, a modern data orchestration platform, powered by Apache Airflow, that enables the entire data team to build, run, and observe data pipelines-as-code. Astronomer is the commercial developer of Airflow, the de facto standard for expressing data flows as code, used by hundreds of thousands of teams across the world.

Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.