You often hear that data is the new oil. This valuable, ever-changing commodity has begun to play a starring role in many cloud-native applications. Yet, according to a number of DevOps teams, data ...

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 ...

While DevOps drives innovation and simplifies collaboration, it also comes with its own set of risks and vulnerabilities. Developers rely on Git-based platforms like GitHub, Azure DevOps, Bitbucket, ...

After its initial development as an answer to extended software release durations, DevOps has progressed considerably. Through the combination of continuous delivery and automation methods, ...

Despite the large investments that organizations are making in big data applications, difficulties still persist for developers and operators who need to find efficient ways to adjust and correct ...

As artificial intelligence (AI) continues to evolve, we've seen more and more of its capabilities and limitations. We've witnessed AI perform tasks once deemed futuristic, reminiscent of scenes from ...