If you haven't shouted "Bingo" yet, you have only yourself to blame. How can it be possible to use almost all of the bleeding-edge technologies, frameworks and platforms listed above successfully together in a real-world project away from the greenfield and Hello World demos? A field report.
Today’s data landscape is overflowing with complex and sophisticated architectures, which can help you dynamically customize your digital ecosystem according to your project requirements and needs. Unfortunately, managing complex cloud architectures can be a difficult task, especially if you are trained to use one cloud vendor and not any of the others. Database as a Service (DBaaS) offerings can help you fill this gap. DBaaS models provide cloud users with managed database offerings. This article reviews DBaaS models offered by the top three cloud vendors—AWS, Azure, and Google Cloud.
If you run any kind of business (large-scale enterprise, small company, or even personal brand) and you haven’t moved to the cloud yet, then that’s a mistake you need to rectify with great urgency. This article examines four reasons why you should make the move.
What once seemed unthinkable is now common practice: databases are moving to the cloud. In this article, Ales Zeman, Sales Engineering Manager for Central Europe at Quest Software, explains what to look out for and how to make the migration successful.
Approaching problems with a serverless first mindset means rethinking, re-architecting, and rethinking again. Serverless isn’t just FaaS, it isn’t just about the cloud. How can you build a model for thinking serverless and practice applying it? We've asked an expert about it.