Stream Processing with Scala

Learn how to use stream processing in Scala for writing reactive microservices in a fully non-blocking and asynchronous manner.

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Stream processing is a computing paradigm that can radically simplify many aspects of modern applications. Concurrency patterns, data transformations, analytics - streams are a good fit for them all. In this course, developers will learn how to use stream processing in Scala for writing reactive microservices in a fully non-blocking and asynchronous manner. Beyond microservices, this course will techniques for streaming analytics and how those can be put to use with best-of-breed libraries like ZIO Streams.

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Who Should Attend

Developers, data engineers and software architects interested in using stream processing for microservices and analytics.


Attendees should have basic experience with usage of the Scala language.


  • Overview of ZIO
  • Constructing streams from static data
  • Using streams to read from external sources
  • Maintaining resource safety using streams
  • Transforming data in parallel
  • Reading from sockets and files using streams
  • Parsing and aggregating data using streams and sinks
  • Optimizing performance using streams and chunks
  • Advanced concurrency patterns
  • Structuring applications using streams
  • Testing streaming applications
With Ziverge's tech leadership, Hunters was able to tackle challenges and technologies that in normal cases would be inaccessible for a young startup. Ziverge's vast experience in designing complex data pipelines was an amazing shortcut for us; combined with its holistic approach around training, team building, documentation, etc. Ziverge is a true game-changer.
Uri May

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