# Data Pipeline Design Considerations **URL:** \ **Category:** Logstash\ **Created:** [January 9, 2023, 9:47am UTC](https://discuss.elastic.co/t/data-pipeline-design-considerations/322717 "2023-01-09T09:47:21Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Tiharqa](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/tiharqa/32/95336_2.png) [@Tiharqa](https://discuss.elastic.co/u/Tiharqa)\ **Post date:** [January 9, 2023, 9:47am UTC](https://discuss.elastic.co/t/data-pipeline-design-considerations/322717/1 "2023-01-09T09:47:21Z")
So I have a confluent kafka with multiple topics per network divided as follows NET1: Data NET1-SYSLG NET1-WIN ====== NET2 : Data NET2-SYSLG NET2-WIN I have 2 logstash servers reading from those topics on Kafka 1 reading the topics from NET1 going to Elastic the second is reading only the topic data from NET2 also going to the same Elastic If i have created 2 spaces to isolate the data once I called it NET1 and the second one is NET2 NET1:SYSLG, WIN ---\> Logstash 1 -------------------- NET1 SPACE KFK- -------------------------------- ------- | --------\> ELASTIC | NET2: SYSLG, WIN --- \> Logstash2 --------------------- NET2 SPACE what is best approach or procedures to write data for logstash 1 to SPACE 1 index called net1-syslog How do I go about configuring that on Elasticsearch to map those incoming events from each logstash to their corresponding space and indices ? Any insight or help would be appreciated ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [February 6, 2023, 9:48am UTC](https://discuss.elastic.co/t/data-pipeline-design-considerations/322717/2 "2023-02-06T09:48:12Z")
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