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A pretty hot topic lately is machine learning – the inter-sectional discipline closely related to computational statistics that lets computers learn without being explicitly programmed. It has been found to be of significant use in the field of data analytics – from estimating loan and insurance risk to trying to autonomously steer a car in […]
A very common scenario in many kinds of software is when the input data is potentially unlimited and it can appear at arbitrary intervals. The common way of handling such cases is using the Observer pattern in its imperative form – callbacks. But this approach creates what’s commonly called “Callback Hell”. It’s a concept basically […]
When operating an Akka cluster the developer must consider how to handle network partitions (Split Brain scenarios) and machine crashes. There are multiple strategies to handle such erratic behavior and, after a deeper explanation of the problem we are facing, I will try to present them along with their pros and cons using the Split […]
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