Brad Johnson

Aggregating data from heterogeneous REST APIs and streaming sources can be a pain. In order to achieve real-time insights or visualizations, developers need to efficiently combine REST and streaming data …

I’ve written previously about Scott Clarke’s Greenhouse demo app because it’s a good example of how to build integrations between external frameworks and Swim. While Swim functions perfectly well on …

How do you evaluate open source technologies, like Kubernetes and Swim, when there's so much hype? Last post, we explored the challenges of architecting a real-time application, which are due in part …

We need to have a serious talk about "real-time." These days, it seems like there are more real-time Web technologies to choose from than trendy superfoods (see: Irish black pudding, …

Here's a cool demo from Swim developer, Scott Clarke. The Swim Greenhouse Demo (found here on GitHub) uses Swim, NodeJS, and Python to make an application which learns in real-time from a …

Swim enables developers to build applications that analyze, learn and act on streaming data as it’s created, from the edge to the cloud. San Jose, CA – February 21, 2019—SWIMAI, …

How "smart" are today's Smart Cities, really? The buzz around Smart Cities has been going on for over a decade and the headlines keep coming. But how many “smart” cities …

The world isn’t slowing down. Increasingly, new streaming data sources are being integrated into business applications, coinciding with a rapidly growing demand for real-time applications. In order to achieve new …

All Internet of Things (IoT) data has some time component to it. Therefore it’s critical to approach applications which use IoT data with the understanding that in order to derive …

Earlier this year, Mickaël Rémond, the founder of ProcessOne, a real-time solutions provider, published a blog post titled The Challenges of Building Real-Time Applications. I highly recommend giving it a …