How to Use Painless Scripts for Conditional Logic in Ingest Pipelines

In the ELK stack, an ingest pipeline is used to process and transform documents before they are indexed into Elasticsearch. There are several processors available in an ingest pipeline that can be applied to transform documents. To perform transformations effectively, it is sometimes necessary to use conditions. This blog explains how to add conditions in ingest pipelines.

Prerequisites:

• An Elastic Stack account
• An ingest pipeline configured in Elasticsearch

Creating and Testing Ingest Pipelines with Grok for NGINX Logs in Elasticsearch

The Elastic Stack is widely used for log management, monitoring, analytics, and observability. It includes several tools such as Beats, which collect logs from various systems. However, not all data in these logs is necessary for indexing. To filter, transform, and enrich documents before they are indexed, we can use ingest pipelines. In this blog, we will discuss how to create a simple ingest pipeline and test it.