Software Development

Previously we altered the behaviour of our abstract objects using the bridge pattern and we implemented a tree like structure for our components using the composite pattern and delegating the requests. The decorator pattern allows behavior to be added to an individual object, either statically or dynamically, without affecting the behavior of other objects from the same class. So imagine ...

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An introduction. Functional programming is a very hot topic nowadays. People are increasingly interested in functional and hybrid-functional languages such as Haskell, Scala, F# and Clojure, and functional programming is one of the most popular requested topics for discussion in conferences and programming communities. Since you’re reading this, maybe you are interested to find out more about it too; if ...

Start developing IoT apps using IoT visual programming tools to semplify the development process This is a list of the most known and useful IoT visual programming tools to start developing IoT apps. Nowadays, IoT is getting always more important and it is a fact that there is a lot of interest in this new technology. IoT and the IoT ...

Previously we checked the adapter pattern the use cases and the bridge pattern. The pattern we will examine in this post is the composite pattern. By following the composite pattern we “compose” objects into tree structures representing part-whole hierarchies, therefore clients can treat individual objects and compositions uniformly. By referencing the word hierarchies the first thing that comes to mind ...

1. Introduction Microservice architecture is essentially a journey into engineering of the distributed system. As more and more microservices are being developed and deployed, most likely than not they have to talk to each other somehow. And these means of the communication vary not only by transport and protocol, but also if they happen synchronously or asynchronously. Table Of Contents ...

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I built a scenario for a hybrid machine learning infrastructure leveraging Apache Kafka as scalable central nervous system. The public cloud is used for training analytic models at extreme scale (e.g. using TensorFlow and TPUs on Google Cloud Platform (GCP) via Google ML Engine. The predictions (i.e. model inference) are executed on premise at the edge in a local Kafka ...