We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Streaming: Why should I care?

Formale Metadaten

Titel
Streaming: Why should I care?
Serientitel
Anzahl der Teile
160
Autor
Lizenz
CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
Streaming: Why should I care? [EuroPython 2017 - Talk - 2017-07-13 - Anfiteatro 2] [Rimini, Italy] You think, all that hype about streaming solutions does not affect you? I thought so also. But when playing around with that topic for some time, I realized that it sheds a different light on many topics I struggled with for some time. In this talk I want to share with you what I discovered when switching from a from a database centric view to stream oriented processing. Splitting your application in smaller services gets easier as you have more natural boundaries You have more options to run different data schema versions in different services (instead of one central db upgrade) More scaling possibilities Operations improvements For sure, streaming does not solve any problem, but much more than I thought before. And in python you have good support with many streaming clients. I will give some examples and comparisons for working with Kafka and Avro Schemas