Posted by Petr Zapletal
Mon, Oct 24, 2016

Welcome to a new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Mon, Oct 17, 2016

Welcome to a new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Sun, Sep 11, 2016

Welcome to a new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Mon, May 30, 2016

Welcome to new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Tue, May 3, 2016

Welcome to new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Mon, Apr 25, 2016

Welcome to new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Mon, Apr 18, 2016

Welcome to new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

Posted by Petr Zapletal
Mon, Apr 11, 2016

Welcome to new edition of #ThisWeekInScala!

This blog aims to keep you up to date with the latest news from the world of Scala and Reactive programming.

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.

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