# Logstash is slow for mulitiple pipelines **URL:** \ **Category:** Logstash\ **Created:** [November 12, 2019, 10:41am UTC](https://discuss.elastic.co/t/logstash-is-slow-for-mulitiple-pipelines/207491 "2019-11-12T10:41:37Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![nuwancs](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nuwancs/32/46419_2.png) [@nuwancs](https://discuss.elastic.co/u/nuwancs)\ **Post date:** [November 12, 2019, 10:41am UTC](https://discuss.elastic.co/t/logstash-is-slow-for-mulitiple-pipelines/207491/1 "2019-11-12T10:41:37Z")
Hi There, I am using two pipelines to process my data coming from same server but different set of files. let's say A and B. A has a very high tps and it goes over 1000EPS(events per sec) B has 40EPS max. They push data to two separate indexes at elastisearch. I see a big delay on pipeline B when events are visible on kibana dashboard via elasticsearch. I don't see a delay on pipeline A though! As the pipeline A data isn't that critical, I tried to slow down it's processing by changing pipeline A settings , > increase the `pipeline.batch.delay` > `pipeline.workers` to 1 > reducing `pipeline.batch.size` while pipeline B settings were left at default values. The result was pipeline A EPS came down to 50 and pipeline B also went below 1. I didn't see memory or cpu going above 50%. can someone help me how to change the pririty of the pipelines when they handle data? ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [December 10, 2019, 10:51am UTC](https://discuss.elastic.co/t/logstash-is-slow-for-mulitiple-pipelines/207491/2 "2019-12-10T10:51:25Z")
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