The Amazon Kinesis Data Firehose output plugin allows to ingest your records into the Firehose service.

This is the documentation for the core Fluent Bit Firehose plugin written in C. It can replace the aws/amazon-kinesis-firehose-for-fluent-bit Golang Fluent Bit plugin released last year. The Golang plugin was named firehose; this new high performance and highly efficient firehose plugin is called kinesis_firehose to prevent conflicts/confusion.

See here for details on how AWS credentials are fetched.

Configuration Parameters

Getting Started

In order to send records into Amazon Kinesis Data Firehose, you can run the plugin from the command line or through the configuration file:

Command Line

The firehose plugin, can read the parameters from the command line through the -p argument (property), e.g:

$ fluent-bit -i cpu -o kinesis_firehose -p delivery_stream=my-stream -p region=us-west-2 -m '*' -f 1

Configuration File

In your main configuration file append the following Output section:

[OUTPUT]
    Name  kinesis_firehose
    Match *
    region us-east-1
    delivery_stream my-stream

Worker support

Fluent Bit 1.7 adds a new feature called workers which enables outputs to have dedicated threads. This kinesis_firehose plugin fully supports workers.

Example:

[OUTPUT]
    Name  kinesis_firehose
    Match *
    region us-east-1
    delivery_stream my-stream
    workers 2

If you enable a single worker, you are enabling a dedicated thread for your Firehose output. We recommend starting with without workers, evaluating the performance, and then adding workers one at a time until you reach your desired/needed throughput. For most users, no workers or a single worker will be sufficient.

AWS for Fluent Bit

Amazon distributes a container image with Fluent Bit and these plugins.

GitHub

github.com/aws/aws-for-fluent-bit

Amazon ECR Public Gallery

aws-for-fluent-bit

Our images are available in Amazon ECR Public Gallery. You can download images with different tags by following command:

docker pull public.ecr.aws/aws-observability/aws-for-fluent-bit:<tag>

For example, you can pull the image with latest version by:

docker pull public.ecr.aws/aws-observability/aws-for-fluent-bit:latest

If you see errors for image pull limits, try log into public ECR with your AWS credentials:

aws ecr-public get-login-password --region us-east-1 | docker login --username AWS --password-stdin public.ecr.aws

You can check the Amazon ECR Public official doc for more details.

Docker Hub

amazon/aws-for-fluent-bit

Amazon ECR

You can use our SSM Public Parameters to find the Amazon ECR image URI in your region:

aws ssm get-parameters-by-path --path /aws/service/aws-for-fluent-bit/

For more see the AWS for Fluent Bit github repo.

The Azure Blob output plugin allows ingesting your records into service. This connector is designed to use the Append Blob and Block Blob API.

Our plugin works with the official Azure Service and also can be configured to be used with a service emulator such as .

Azure Storage Account

Before getting started, make sure you already have an Azure Storage account. As a reference, the following link explains step-by-step how to set up your account:

Configuration Parameters

We expose different configuration properties. The following table lists all the options available, and the next section has specific configuration details for the official service or the emulator.

Getting Started

As mentioned above, you can either deliver records to the official service or an emulator. Below we have an example for each use case.

Configuration for Azure Storage Service

The following configuration example generates a random message with a custom tag:

After you run the configuration file above, you will be able to query the data using the Azure Storage Explorer. The example above will generate the following content in the explorer:

Configuring and using Azure Emulator: Azurite

Install and run Azurite

The quickest way to get started is to install Azurite using npm:

then run the service:

Configuring Fluent Bit for Azurite

after running that Fluent Bit configuration you will see the data flowing into Azurite: