Sergey Tryuber

This article introduces the Grid Dynamics blueprint for in-stream processing. It is based on our experience and the lessons we have learned from multiple large-scale client implementations. We have included cloud-ready configuration examples for Apache Kafka, Spark...

This post contains a brief survey of better-known products related to in-stream processing that are available on the market at the time of this writing. In this survey, we focus specifically on critical architectural differentiations, rather than functional differences, that affect why custome...

Now that we have introduced the high-level concepts behind In-Stream Processing and how it fits into the Big Data and Fast Data landscapes, it is time to dive deeper and explain how In-Stream Processing works. As we already know, In-Stream Processing is a service that takes events as input and...

In-stream processing is a powerful technology that can scan huge volumes of data coming from sensors, credit card swipes, clickstreams and other inputs, and find actionable insights nearly instantaneously. For example, in-stream processing can detect a single fraudulent transaction in a stream...