I often hear that integration is an old subject, which does not move anymore, with old, has-been technologies; in short, that it is a non-subject. Those who think that have not necessarily understood that a topic like API Management is a subject of integration and that integration has reinvented itself. I wanted to share with you what I felt were the challenges facing the topic of integration right now. Do not hesitate to share your comments and opinions on the current challenges faced by integration.
Cloud and IoT Integration
Let me start with this: IoT integration is nothing more than cloud integration. By this, I mean that most developers who integrate with IoT, do nothing but integrate an IoT platform, and see little intrinsic complexity of the IoT devices. So, if we include IoT, SaaS solutions, PaaS solutions, and so on, we are faced with problems common to all these platforms. For example, their very high elasticity, or their ability to transfer very large volumes of data in a limited time. These cloud system capabilities can hardly be found on-premise and therefore also require cloud integration platforms. We potentially end up with two dedicated platforms. One “mature” platform in on-premise, and another, cloud-specific, platform. The whole issue then lies in the right definition of trajectory making the two platforms coexist, to see them merge. https://goo.gl/BgEzo5 #DataIntegration #ML
