Elastic Ingest Pipelines are a feature of the Elastic Stack that allows you to perform common data transformations on your data as it is being indexed by Elasticsearch. With Ingest Pipelines, you can define a series of processing steps that will be applied to your data, such as parsing and enriching the data, or even performing simple calculations on the data. This can be useful for a number of reasons, such as cleaning up your data, adding additional information to it, or preparing it for use in other parts of the Elastic Stack. Ingest Pipelines are an important part of the Elastic Stack for anyone working with large amounts of data.


Pipeline examples

Cloudflare Kibana dashboards

Cloudflare dashboards and ingest pipelines to visualize cloudflare logs

Plex ingest node pipeline

A plex ingest node pipeline to parse logs from Plex for Elasticsearch

PI Hole Logstash Pipeline and Dashboard

A filter for Logstash parsing PI-Hole logs + Dashboard to visualize the data

Logstash Pipeline for Talend ESB & MDM

A Logstash Pipeline to collect json logs from Talend ESB & MDM.

Logstash Meraki Pipeline

Logstash Pipeline to load Meraki logs via Syslog into Elasticsearch


More about Pipeline

Another way of using data pipelines within the Elastic Stack is via Logstash. Logstash has very feature reach pipeline capabilities that can be used not only to interact with Elastic components.

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