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Posted by Petr Zapletal
Wed, Mar 2, 2016

In the previous post we went through the necessary theory and also introduced popular streaming framework from Apache landscape - Storm, Trident, Spark Streaming, Samza and Flink. Today, we’re going to dig a little bit deeper and go through topics like fault tolerance, state management or performance. In addition, we’re going to discuss guidelines when building distributed streaming application and also I’ll give you recommendations for particular frameworks.

Posted by Petr Zapletal
Tue, Feb 2, 2016


A couple of months ago we were discussing the reasons behind increasing demand for distributed stream processing. I also stated there was a number of available frameworks to address it. Now it’s a time have a look at them and discuss their similarities and differences and their, from my opinion, recommended use cases.

Posted by Petr Zapletal
Mon, Jul 13, 2015

The demand for stream processing is increasing. Immense amounts of data have to be processed fast from a rapidly growing set of disparate data sources. This pushes the limits of traditional data processing infrastructures. These stream-based applications include trading, social networks, Internet of things, system monitoring, and many other examples. 

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