"What's in a name?" wrote the greatest Bard who ever lived. All I can say is, he lived in simpler times, when DevOps and the confusing world of continuous integration (CI), continuous ...
My conversations about innovation and the enterprise have afforded me an intimate understanding of the technological challenges companies are facing. Chief among these concerns, regardless of industry or sector, is digital transformation ...
Performance testing historically has been a challenge for most IT organizations. It is highly misunderstood, from executives down to the few resources allocated to perform an extremely difficult task. Most companies consider ...
In our previous article, "Data Science Industry Perspectives in the Cloud," we discussed that evolution is key if you plan to grow your business. You can start with ready-made solutions, then, in ...
It is safe to say that since the term NoOps escaped from its confines as an assembly language instruction (NOP or NOOP mnemonic for no operation) and in microelectronics (NoOps or null ...
Continuous development and deployment is a primary focus of DevOps teams. As part of this process, DevOps teams also require the automatic creation or removal of networks, and automated deployment to production ...
DevOps ... is a term used to refer to a set of practices that emphasize the collaboration and communication of both software developers and information technology (IT) professionals while automating the process of software delivery and infrastructure changes. It ...
It’s 3:47 a.m. You and the rest of the Ops team have been summoned from your peaceful slumber to mitigate an application delivery outage. As you catch up on the frantic emails, ...
In his article, "Moving from ‘Tester’ to ‘Quality Enabler’," Scott Edwards clearly lays out the predicament in which QA testing is currently at: with one foot in the quicksand of manual testing, ...
“Predictive analytics” refers to the many techniques used to analyze data to make predictions about the future, such as data mining, statistics, modeling, machine learning and artificial intelligence. Being able to predict ...
