DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. As ...

DevOps today is more than the buzzword it was 10 years ago. Back then, the idea of combining development with production in your IT infrastructure was not common; the logistics were nonexistent ...

Artificial intelligence (AI) has become a matured concept, the excitement of which is bearing results for a number of sectors and it holds a good deal of promise for a bright future ...

DevOps is poised for healthy growth over the next several years, with analysts large and small weighing in with forecasts. For instance, IDC predicts the worldwide DevOps software market will reach $8 ...

New Relic, following its acquisition of SignifAI, is in the process of accelerating its investments in machine learning algorithms and other forms of artificial intelligence (AI) as part of an effort to ...

For DevOps engineers, “noise” is the enemy of productivity. In this context, the noise we’re talking about is unnecessary or low-priority alerts and notifications that distract engineers from identifying serious issues—and ultimately ...

Saying that new jobs will always be created to replace those that have been eliminated by automation is a mechanism for avoiding a real problem that’s lurking on the horizon. In 2004, ...

At its core, DevOps is meant to touch an entire organization; however it’s heavily weighted in the software development life cycle (SDLC). That’s why DevOps is going mainstream in 2018. Companies are ...