Logstash

Logstash pipeline examples for Elasticsearch ingestion

Logstash pipeline examples show how to collect, parse, transform, enrich, and ship data into Elasticsearch. A pipeline usually follows the input, filter, and output pattern, which makes it easy to reason about each stage of ingestion.

Use this category when you need to parse logs, normalize events, enrich fields, route data, or learn how another user handled a difficult data format. Existing examples can save hours of debugging because they show working filter patterns and output structure.

To use a pipeline, download the file, review all inputs and outputs, adjust credentials and index names, copy it to your Logstash configuration path, and restart Logstash in a test environment. Never import a pipeline with production credentials embedded in the file.

Related resources include Elasticsearch examples, Kibana dashboards, and official Logstash pipeline documentation.

Pipeline examples are especially useful for learning filter structure. Read each grok, dissect, date, mutate, and output stage before you copy it. Test with a small sample file and inspect rejected events. Once the parsing is stable, add monitoring and version control so future field changes do not silently break downstream dashboards and alerts.

After adapting a pipeline, document the sample event and expected output fields. That small step makes the pipeline easier to review, share, and troubleshoot when upstream log formats change.