Functionbeat overview

Functionbeat is an Elastic Beat that you deploy as a function in your serverless environment to collect data from cloud services and ship it to the Elastic Stack.

Version 7.12.1 supports deploying Functionbeat as an AWS Lambda service or Google Cloud Function. It responds to triggers defined for the following event sources:

Functionbeat is an Elastic Beat. It’s based on the libbeat framework. For more information, see the Beats Platform Reference.

The following sections explore some common use cases for Functionbeat:

You can deploy Functionbeat on your serverless environment to collect logs and metrics generated by cloud services and stream the data to the Elastic Stack for centralized analytics.

You can deploy Functionbeat as a Lambda function on AWS to receive events from a Cloudwatch Log group, extract and structure the relevant fields, then stream the events to Elasticsearch.

The processing pipeline for this use case typically looks like this:

You can use Functionbeat to implement event-driven processing workflows with cloud messaging queues and the Elastic Stack. Functionbeat responds to event triggers from AWS Kinesis and SQS.

For applications that send JSON-encoded events to an SQS queue, Functionbeat can listen for, ingest, and decode JSON events prior to shipping them to Elasticsearch, where you can analyze the streaming data.

The processing pipeline for this use case typically looks like this: