IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.

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Logstash Introduction

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Logstash Introduction

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Logstash is an open source data collection engine with real-time pipelining capabilities. Logstash can dynamically unify data from disparate sources and normalize the data into destinations of your choice. Cleanse and democratize all your data for diverse advanced downstream analytics and visualization use cases.

While Logstash originally drove innovation in log collection, its capabilities extend well beyond that use case. Any type of event can be enriched and transformed with a broad array of input, filter, and output plugins, with many native codecs further simplifying the ingestion process. Logstash accelerates your insights by harnessing a greater volume and variety of data.

Logstash to Elastic Cloud Serverless

You’ll use the Logstash Elasticsearch output plugin to send data to Elastic Cloud Serverless. Note these differences between Elasticsearch Serverless and both Elasticsearch Service and self-managed Elasticsearch:

Use API keys to access Elastic Cloud Serverless from Logstash. Any user-based security settings in your in your Elasticsearch output plugin configuration are ignored and may cause errors.
Elastic Cloud Serverless uses data streams and data lifecycle management (DLM) instead of index lifecycle management (ILM). Any ILM settings in your Elasticsearch output plugin configuration are ignored and may cause errors.
Logstash monitoring is available through the Logstash Integration in Elastic Observability on Elastic Cloud Serverless.

Known issue for Logstash to Elasticsearch Serverless.The logstash-output-elasticsearch hosts setting defaults to port :9200. Set the value to port :443 instead.

Getting Started with Logstash »