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.
In his session at Serverless Architecture Conference 2019 in Berlin Sheen Brisals shares his experience with Serverless and explains how he and his Shopper Engagement Technology team at LEGO migrated the legacy monolith eCommerce platform onto a cloud based solution on AWS.
There’s no doubt about it, testing serverless applications is a difficult job. Although the fundamental principles you’re familiar with from traditional architectures remain the same, the fact that your application exists entirely in the cloud and consists of a whole host of managed services tied together by your code, requires an entirely new testing paradigm.