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Logstash to Elasticsearch

Serverless

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Image showing Logstash collecting data and sending to Elasticsearch
Image showing Logstash collecting data and sending to Elasticsearch
Ingest model
Logstash to collect data from sources not currently supported by Elastic Agent and sending the data to Elasticsearch. The data transformation still happens within the Elasticsearch ingest pipeline.
Use when
Elastic Agent doesn’t currently support your data source.
Examples
AWS Kinesis, databases, Kafka

Before you implement this approach, check to see if an Elastic Agent integration exists and, if so, use it instead:

Info on Logstash and Logstash input and output plugins:

Info on Elasticsearch and ingest pipelines: