Databases are where real-time data streams go to die. They are a dam in the stream, preventing vital, real-time information from getting to the people who need to make critical …

It’s 2020 and we’re still beholden to application patterns established in the era of mainframe computing. The Web was originally created to exchange static resources between user agents. The Hypertext …

Whenever I’m discussing swimOS with someone reasonably technical, we invariably arrive on the subject of microservices. It makes sense, as microservices are a commonly understood architectural paradigm and represent many …

In my most recent post, I made four recommendations about planning for an intelligent edge application. My primary takeaway was that building real-time applications requires a different mindset than building …

Last week, Microsoft announced their Azure Data Box Edge computing appliance. While it may seem like a pure edge hardware play, CEO Satya Nadella positioned the product as part of …

Learning a new technology takes time and effort, so it’s important to make sure you’ve identified a good fit before you invest precious brain cycles. To help you determine whether …

As modern enterprises plan for Robotics and other IoT tools, they are forced to rethink their platforms to ensure that data flows smoothly from devices to edge to cloud. The …

Yesterday, Google Cloud’s SVP of Technical Infrastructure, Urs Hölzle announced that they’d “removed the remaining [MapReduce] internal codebase for good.” He went on to elaborate that GCP was ditching MapReduce …

One of the key differentiators for all swimOS applications is statefulness. As today’s applications become more complex, distributed, and real-time, the logistical challenges of managing application state starts to outweigh …

Naming is critical for understanding any new technology, so I wanted to set straight some common terms and important acronyms you’ll run across in the swimOSphere. First, let’s start with …