O'Reilly Media author and VP of Developer Experience for lakeFS, helping teams create cost-effective data systems and ML pipelines. Data is the backbone of every business organization today, and its ...

Quick Summary Facing challenges to build, manage, and scale reliable data pipelines across modern DevOps environments? Discover the top 7 data engineering tools for DevOps teams in 2026 that help ...

Overcoming DevOps obstacles—such as slow, manual, poor-quality test data—is key toward accelerating pipelines. With speed being a central success factor for DevOps pipelines, increasing velocity ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...

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As “software eats the world,” to use Marc Andreessen’s phrase, versioning becomes critical to business success because corporate value is often contained in the software assets created by the company.

MLOps, short for machine learning operations, is the equivalent of DevOps for machine learning models: Taking them from development to production, and managing their lifecycle in terms of improvements ...

The latest trends in software development from the Computer Weekly Application Developer Network. Stressing the importance of understanding where platform engineering now comes as an extension, ...

Software teams today are pushing updates daily (sometimes hourly), working with bigger contributor pools, and running deployments almost non-stop. In that kind of setup, source code control tools ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Certified DevOps Engineer Professional exam validates your ability to automate, operate, ...