Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

One key devops best practice is instrumenting a continuous integration/continuousdelivery (CI/CD) pipeline that automates the process of building software, packaging ...

It seems you can't discuss continuous integration (CI) and delivery without talking about three other very deeply interrelated topics: Agile, DevOps, and a testing strategy such as behavior driven or ...

The word DevOps is derived from merging development and operations, and this merger is exactly what DevOps practice is all about: a set of practices to support collaborative partnership and ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Continuous integration and delivery have emerged as the next set of concepts following the interest in Agile and DevOps. Implemented correctly, the principles of CI can streamline and optimize the ...

Agile methodology may be most associated with the technology industry, but most professionals are familiar with many of its basic ideas. Although many of its concepts have been around for decades, ...

DevOps vs Agile: What’s the Difference? Your email has been sent Learn the difference between the DevOps and Agile project management and software development methodologies, as well as their ...

It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...