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Amazon Data Firehose

Stream logs from Amazon Data Firehose into Elastic Cloud.

1.0.0 (View all)
Compatible Kibana version(s)
8.10.1 or higher
Supported Serverless project types

Subscription level
Level of support

Amazon Data Firehose integration offers users a way to stream logs from Firehose to Elastic Cloud. This integration includes predefined rules that automatically route AWS service logs to the respective integrations, which include field mappings, ingest pipelines, predefined dashboards and ect. Here is a list of log types that are supported by this integration:

AWS service logLog destination
API Gateway
Network Firewall
Firehose, CloudWatch, S3
Route53 Public DNS
Route53 Resolver
Firehose, CloudWatch, S3
S3 access
VPC Flow
Firehose, CloudWatch, S3
Firehose, CloudWatch. S3


It is not possible to configure a delivery stream to send data to Elastic Cloud via PrivateLink (VPC endpoint). This is a current limitation in Firehose, which we are working with AWS to resolve.


  1. Install the relevant integrations in Kibana

    In order to make the most of your data, install AWS integrations to load index templates, ingest pipelines, and dashboards into Kibana. In Kibana, navigate to Management > Integrations in the sidebar. Find the AWS integration by searching or browsing the catalog.

    Navigate to the Settings tab and click Install AWS assets. Confirm by clicking Install AWS in the popup.

  2. Create a delivery stream in Amazon Data Firehose

    Sign into the AWS console and navigate to Amazon Data Firehose. Click Create Firehose stream. Configure the delivery stream using the following settings:

    Choose source and destination

    Unless you are streaming data from Kinesis Data Streams, set source to Direct PUT (see Setup guide for more details on data sources).

    Set destination to Elastic.

    Delivery stream name

    Provide a meaningful name that will allow you to identify this delivery stream later.

    Destination settings

    1. Set Elastic endpoint URL to point to your Elasticsearch cluster running in Elastic Cloud. This endpoint can be found in the Elastic Cloud console. An example is

    2. API key should be a Base64 encoded Elastic API key, which can be created in Kibana by following the instructions under API Keys. If you are using an API key with “Restrict privileges”, be sure to review the Indices privileges to provide at least "auto_configure" & "write" permissions for the indices you will be using with this delivery stream.

    3. We recommend leaving Content encoding set to GZIP for improved network efficiency.

    4. Retry duration determines how long Firehose continues retrying the request in the event of an error. A duration of 60-300s should be suitable for most use cases.

    5. Elastic requires a Buffer size of 1MiB to avoid exceeding the Elasticsearch http.max_content_length setting (typically 100MB) when the buffer is uncompressed.

    6. The default Buffer interval of 60s is recommended to ensure data freshness in Elastic.

    7. Parameters

      1. Elastic recommends setting the es_datastream_name parameter to logs-awsfirehose-default in order to leverage the routing rules defined in this integration. If this parameter is not specified, data is sent to the logs-generic-default data stream by default.

      2. The include_cw_extracted_fields parameter is optional and can be set when using a CloudWatch logs subscription filter as the Firehose data source. When set to true, extracted fields generated by the filter pattern in the subscription filter will be collected. Setting this parameter can add many fields into each record and may significantly increase data volume in Elasticsearch. As such, use of this parameter should be carefully considered and used only when the extracted fields are required for specific filtering and/or aggregation.

      3. The include_event_original field is optional and should only be used for debugging purposes. When set to true, each log record will contain an additional field named event.original, which contains the raw (unprocessed) log message. This parameter will increase the data volume in Elasticsearch and should be used with care.

  3. Send data to the Firehose delivery stream

    Consult the AWS documentation for details on how to configure a variety of log sources to send data to Firehose delivery streams.


VersionDetailsKibana version(s)


Enhancement View pull request
Release package as GA.

8.10.1 or higher


Enhancement View pull request
Rename Amazon Kinesis Data Firehose to Amazon Data Firehose


Enhancement View pull request
Update the package format_version to 3.0.0.


Enhancement View pull request
Add routing rules for cloudfront log, elb log and s3access log.


Enhancement View pull request
remove redudant .logs suffix from dataset name


Enhancement View pull request
Route WAF logs based on log format


Enhancement View pull request
Add support for routing api gateway logs


Enhancement View pull request
initial release

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