Before diving into Fluent Bit it’s good to get acquainted with some of the key concepts of the service. This document provides a gentle introduction to those concepts and common Fluent Bit terminology. We’ve provided a list below of all the terms we’ll cover, but we recommend reading this document from start to finish to gain a more general understanding of our log and stream processor.

• Event or Record

• Filtering

• Tag

• Timestamp

• Match

• Structured Message

Event or Record

Every incoming piece of data that belongs to a log or a metric that is retrieved by Fluent Bit is considered an Event or a Record.

As an example consider the following content of a Syslog file:

Jan 18 12:52:16 flb systemd[2222]: Starting GNOME Terminal Server
Jan 18 12:52:16 flb dbus-daemon[2243]: [session uid=1000 pid=2243] Successfully activated service 'org.gnome.Terminal'
Jan 18 12:52:16 flb systemd[2222]: Started GNOME Terminal Server.
Jan 18 12:52:16 flb gsd-media-keys[2640]: # watch_fast: "/org/gnome/terminal/legacy/" (establishing: 0, active: 0)

It contains four lines and all of them represents four independent Events.

Internally, an Event always has two components (in an array form):

[TIMESTAMP, MESSAGE]

Filtering

In some cases it is required to perform modifications on the Events content, the process to alter, enrich or drop Events is called Filtering.

There are many use cases when Filtering is required like:

• Append specific information to the Event like an IP address or metadata.

• Select a specific piece of the Event content.

• Drop Events that matches certain pattern.

Tag

Every Event that gets into Fluent Bit gets assigned a Tag. This tag is an internal string that is used in a later stage by the Router to decide which Filter or Output phase it must go through.

Most of the tags are assigned manually in the configuration. If a tag is not specified, Fluent Bit will assign the name of the Input plugin instance from where that Event was generated from.

A Tagged record must always have a Matching rule. To learn more about Tags and Matches check the Routing section.

Timestamp

The Timestamp represents the time when an Event was created. Every Event contains a Timestamp associated. The Timestamp is a numeric fractional integer in the format:

SECONDS.NANOSECONDS

Seconds

It is the number of seconds that have elapsed since the Unix epoch.

Nanoseconds

Fractional second or one thousand-millionth of a second.

Match

Fluent Bit allows to deliver your collected and processed Events to one or multiple destinations, this is done through a routing phase. A Match represent a simple rule to select Events where it Tags matches a defined rule.

To learn more about Tags and Matches check the Routing section.

Structured Messages

Source events can have or not have a structure. A structure defines a set of keys and values inside the Event message. As an example consider the following two messages:

No structured message

"Project Fluent Bit created on 1398289291"

Structured Message

{"project": "Fluent Bit", "created": 1398289291}

At a low level both are just an array of bytes, but the Structured message defines keys and values, having a structure helps to implement faster operations on data modifications.

Fluent Bit, including it core, plugins and tools are distributed under the terms of the Apache License v2.0:

                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

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Fluent Bit is a Fast and Lightweight Logs and Metrics Processor and Forwarder for Linux, OSX, Windows and BSD family operating systems. It has been made with a strong focus on performance to allow the collection of events from different sources without complexity.

Features

• High Performance

• Data Parsing

  • Convert your unstructured messages using our parsers: JSON, Regex, LTSV and Logfmt

• Metrics Collection (Prometheus compatible)

• Reliability and Data Integrity

  • Backpressure Handling

  • Data Buffering in memory and file system

• Networking

  • Security: built-in TLS/SSL support

  • Asynchronous I/O

• Pluggable Architecture and Extensibility: Inputs, Filters and Outputs

  • More than 80 built-in plugins available

  • Extensibility

    • Write any input, filter or output plugin in C language

    • Bonus: write Filters in Lua or Output plugins in Golang

• Monitoring: expose internal metrics over HTTP in JSON and Prometheus format

• Stream Processing: Perform data selection and transformation using simple SQL queries

  • Create new streams of data using query results

  • Aggregation Windows

  • Data analysis and prediction: Timeseries forecasting

• Portable: runs on Linux, MacOS, Windows and BSD systems

Fluent Bit, Fluentd and CNCF

Fluent Bit is a CNCF sub-project under the umbrella of Fluentd, it's licensed under the terms of the Apache License v2.0. This project was originally created by Treasure Data and is currently a vendor neutral and community driven project.

Dealing with raw strings or unstructured messages is a constant pain; having a structure is highly desired. Ideally we want to set a structure to the incoming data by the Input Plugins as soon as they are collected:

The Parser allows you to convert from unstructured to structured data. As a demonstrative example consider the following Apache (HTTP Server) log entry:

The above log line is a raw string without format, ideally we would like to give it a structure that can be processed later easily. If the proper configuration is used, the log entry could be converted to:

Previously defined in the concept section, the buffer phase in the pipeline aims to provide a unified and persistent mechanism to store your data, either using the primary in-memory model or using the filesystem based mode.

The buffer phase already contains the data in an immutable state, meaning, no other filter can be applied.

Fluent Bit offers a buffering mechanism in the file system that acts as a backup system to avoid data loss in case of system failures.

On 2014, the team at forecasted the need of a lightweight log processor for constraint environments like Embedded Linux and Gateways, the project aimed to be part of the Fluentd Ecosystem and we called it , fully open source and available under the terms of the .

After the project was around for some time, it got some traction in the Embedded market but we also started getting requests for several features from the Cloud community like more inputs, filters, and outputs. Not so long after that, Fluent Bit becomes one of the preferred solutions to solve the logging challenges in Cloud environments.

​ is an open source and multi-platform log processor tool which aims to be a generic Swiss knife for logs processing and distribution.

Nowadays the number of sources of information in our environments is ever increasing. Handling data collection at scale is complex, and collecting and aggregating diverse data requires a specialized tool that can deal with:

• Different sources of information

• Different data formats

• Data Reliability

• Security

• Flexible Routing

• Multiple destinations

has been designed with performance and low resources consumption in mind.

Logging and data processing in general can be complex, and at scale a bit more, that's why was born. Fluentd has become more than a simple tool, it has grown into a fullscale ecosystem that contains SDKs for different languages and sub-projects like .

On this page, we will describe the relationship between the and open source projects, as a summary we can say both are:

• Licensed under the terms of Apache License v2.0

• Hosted projects by the

• Production Grade solutions: deployed thousands of times every single day, millions per month.

• Community driven projects

• Widely Adopted by the Industry: trusted by all major companies like AWS, Microsoft, Google Cloud and hundred of others.

• Originally created by .

Both projects share a lot of similarities, is fully designed and built on top of the best ideas of architecture and general design. Choosing which one to use depends on the end-user needs.

The following table describes a comparison in different areas of the projects:

Both and can work as Aggregators or Forwarders, they both can complement each other or use them as standalone solutions.

provides different Input Plugins to gather information from different sources, some of them just collect data from log files while others can gather metrics information from the operating system. There are many plugins for different needs.

When an input plugin is loaded, an internal instance is created. Every instance has its own and independent configuration. Configuration keys are often called properties.

Every input plugin has its own documentation section where it's specified how it can be used and what properties are available.

When processes data, it uses the system memory (heap) as a primary and temporary place to store the record logs before they get delivered, in this private memory area the records are processed.

Buffering refers to the ability to store the records somewhere, and while they are processed and delivered, still be able to store more. Buffering in memory is the fastest mechanism, but there are certain scenarios where it requires special strategies to deal with , data safety or reduce memory consumption by the service in constrained environments.

Fluent Bit as buffering strategies go, offers a primary buffering mechanism in memory and an optional secondary one using the file system. With this hybrid solution you can accomodate any use case safely and keep a high performance while processing your data.

Both mechanisms are not mutually exclusive and when the data is ready to be processed or delivered it will always be in memory, while other data in the queue might be in the file system until is ready to be processed and moved up to memory.

To learn more about the buffering configuration in Fluent Bit, please jump to the section.

In production environments we want to have full control of the data we are collecting, filtering is an important feature that allows us to alter the data before delivering it to some destination.

Filtering is implemented through plugins, so each filter available could be used to match, exclude or enrich your logs with some specific metadata.

We support many filters, A common use case for filtering is Kubernetes deployments. Every Pod log needs to get the proper metadata associated

Very similar to the input plugins, Filters run in an instance context, which has its own independent configuration. Configuration keys are often called properties.

The following article cover the relevant notes for users upgrading from previous Fluent Bit versions. We aim to cover compatibility changes that you must be aware of.

For more details about changes on each release please refer to the Official Release Notes.

Note: release notes will be prepared in advance of a Git tag for a release so an official release should provide both a tag and a release note together to allow users to verify and understand the release contents.

The tag drives the overall binary release process so release binaries (containers/packages) will appear after a tag and its associated release note. This allows users to expect the new release binary to appear and allow/deny/update it as appropriate in their infrastructure.

Fluent Bit v1.9.9

The td-agent-bit package is no longer provided after this release. Users should switch to the fluent-bit package.

Fluent Bit v1.6

If you are migrating from previous version of Fluent Bit please review the following important changes:

Tail Input Plugin

Now by default the plugin follows a file from the end once the service starts (old behavior was always read from the beginning). For every file found at start, its followed from it last position, for new files discovered at runtime or rotated, they are read from the beginning.

If you desire to keep the old behavior you can set the option read_from_head to true.

Stackdriver Output Plugin

The project_id of resource in LogEntry sent to Google Cloud Logging would be set to the project ID rather than the project number. To learn the difference between Project ID and project number, see this for more details.

If you have any existing queries based on the resource's project_id, please update your query accordingly.

Fluent Bit v1.5

The migration from v1.4 to v1.5 is pretty straightforward.

• If you enabled keepalive mode in your configuration, note that this configuration property has been renamed to net.keepalive. Now all Network I/O keepalive is enabled by default, to learn more about this and other associated configuration properties read the Networking Administration section.

• If you use the Elasticsearch output plugin, note the default value of type changed from flb_type to _doc. Many versions of Elasticsearch will tolerate this, but ES v5.6 through v6.1 require a type without a leading underscore. See the Elasticsearch output plugin documentation FAQ entry for more.

Fluent Bit v1.4

If you are migrating from Fluent Bit v1.3, there are no breaking changes. Just new exciting features to enjoy :)

Fluent Bit v1.3

If you are migrating from Fluent Bit v1.2 to v1.3, there are no breaking changes. If you are upgrading from an older version please review the incremental changes below.

Fluent Bit v1.2

Docker, JSON, Parsers and Decoders

On Fluent Bit v1.2 we have fixed many issues associated with JSON encoding and decoding, for hence when parsing Docker logs is no longer necessary to use decoders. The new Docker parser looks like this:

[PARSER]
    Name         docker
    Format       json
    Time_Key     time
    Time_Format  %Y-%m-%dT%H:%M:%S.%L
    Time_Keep    On

Note: again, do not use decoders.

Kubernetes Filter

We have done improvements also on how Kubernetes Filter handle the stringified log message. If the option Merge_Log is enabled, it will try to handle the log content as a JSON map, if so, it will add the keys to the root map.

In addition, we have fixed and improved the option called Merge_Log_Key. If a merge log succeed, all new keys will be packaged under the key specified by this option, a suggested configuration is as follows:

[FILTER]
    Name             Kubernetes
    Match            kube.*
    Kube_Tag_Prefix  kube.var.log.containers.
    Merge_Log        On
    Merge_Log_Key    log_processed

As an example, if the original log content is the following map:

{"key1": "val1", "key2": "val2"}

the final record will be composed as follows:

{
    "log": "{\"key1\": \"val1\", \"key2\": \"val2\"}",
    "log_processed": {
        "key1": "val1",
        "key2": "val2"
    }
}

Fluent Bit v1.1

If you are upgrading from Fluent Bit <= 1.0.x you should take in consideration the following relevant changes when switching to Fluent Bit v1.1 series:

Kubernetes Filter

We introduced a new configuration property called Kube_Tag_Prefix to help Tag prefix resolution and address an unexpected behavior that landed in previous versions.

During 1.0.x release cycle, a commit in Tail input plugin changed the default behavior on how the Tag was composed when using the wildcard for expansion generating breaking compatibility with other services. Consider the following configuration example:

[INPUT]
    Name  tail
    Path  /var/log/containers/*.log
    Tag   kube.*

The expected behavior is that Tag will be expanded to:

kube.var.log.containers.apache.log

but the change introduced in 1.0 series switched from absolute path to the base file name only:

kube.apache.log

On Fluent Bit v1.1 release we restored to our default behavior and now the Tag is composed using the absolute path of the monitored file.

Having absolute path in the Tag is relevant for routing and flexible configuration where it also helps to keep compatibility with Fluentd behavior.

This behavior switch in Tail input plugin affects how Filter Kubernetes operates. As you know when the filter is used it needs to perform local metadata lookup that comes from the file names when using Tail as a source. Now with the new Kube_Tag_Prefix option you can specify what's the prefix used in Tail input plugin, for the configuration example above the new configuration will look as follows:

[INPUT]
    Name  tail
    Path  /var/log/containers/*.log
    Tag   kube.*

[FILTER]
    Name             kubernetes
    Match            *
    Kube_Tag_Prefix  kube.var.log.containers.

So the proper for Kube_Tag_Prefix value must be composed by Tag prefix set in Tail input plugin plus the converted monitored directory replacing slashes with dots.

Fluent Bit uses very low CPU and Memory consumption, it's compatible with most of x86, x86_64, arm32v7 and arm64v8 based platforms. In order to build it you need the following components in your system for the build process:

• Compiler: GCC or clang

• CMake

• Flex & Bison: only if you enable the Stream Processor or Record Accessor feature (both enabled by default)

In the core there are not other dependencies, For certain features that depends on third party components like output plugins with special backend libraries (e.g: kafka), those are included in the main source code repository.

Routing is a core feature that allows to route your data through Filters and finally to one or multiple destinations. The router relies on the concept of Tags and Matching rules

There are two important concepts in Routing:

• Tag

• Match

When the data is generated by the input plugins, it comes with a Tag (most of the time the Tag is configured manually), the Tag is a human-readable indicator that helps to identify the data source.

In order to define where the data should be routed, a Match rule must be specified in the output configuration.

Consider the following configuration example that aims to deliver CPU metrics to an Elasticsearch database and Memory metrics to the standard output interface:

[INPUT]
    Name cpu
    Tag  my_cpu

[INPUT]
    Name mem
    Tag  my_mem

[OUTPUT]
    Name   es
    Match  my_cpu

[OUTPUT]
    Name   stdout
    Match  my_mem

Note: the above is a simple example demonstrating how Routing is configured.

Routing works automatically reading the Input Tags and the Output Match rules. If some data has a Tag that doesn't match upon routing time, the data is deleted.

Routing with Wildcard

Routing is flexible enough to support wildcard in the Match pattern. The below example defines a common destination for both sources of data:

[INPUT]
    Name cpu
    Tag  my_cpu

[INPUT]
    Name mem
    Tag  my_mem

[OUTPUT]
    Name   stdout
    Match  my_*

The match rule is set to my_* which means it will match any Tag that starts with my_.

The most secure option is to create the repositories acccording to the instructions for your specific OS.

A simple installation script is provided to be used for most Linux targets. This will always install the most recent version released.

This is purely a convenience helper and should always be validated prior to use.

GPG key updates

From the 1.9.0 and 1.8.15 releases please note that the GPG key has been updated at so ensure this new one is added.

The GPG Key fingerprint of the new key is:

The previous key is still available at and may be required to install previous versions.

The GPG Key fingerprint of the old key is:

Refer to the to see which platforms are supported in each release.

Migration to Fluent Bit

From version 1.9, td-agent-bit is a deprecated package and is removed after 1.9.9. The correct package name to use now is fluent-bit.

Container Deployment

Install on Linux (Packages)

Install on Windows (Packages)

Compile from Source (Linux, Windows, FreeBSD, MacOS)

Sandbox Environment

If you are interested in learning about Fluent Bit you can try out the sandbox environment

Enterprise Packages

The output interface allows us to define destinations for the data. Common destinations are remote services, local file system or standard interface with others. Outputs are implemented as plugins and there are many available.

When an output plugin is loaded, an internal instance is created. Every instance has its own independent configuration. Configuration keys are often called properties.

Every output plugin has its own documentation section specifying how it can be used and what properties are available.

The following operating systems and architectures are supported in Fluent Bit.

From an architecture support perspective, Fluent Bit is fully functional on x86_64, Arm64v8 and Arm32v7 based processors.

Fluent Bit can work also on OSX and *BSD systems, but not all plugins will be available on all platforms. Official support will be expanding based on community demand. Fluent Bit may run on older operating systems though will need to be built from source, or use custom packages from

in normal operation mode allows to be configurable through or using specific arguments in the command line, while this is the ideal deployment case, there are scenarios where a more restricted configuration is required: static configuration mode.

Static configuration mode aims to include a built-in configuration in the final binary of Fluent Bit, disabling the usage of external files or flags at runtime.

Getting Started

Requirements

The following steps assumes you are familiar with configuring Fluent Bit using text files and you have experience building it from scratch as described in the section.

Configuration Directory

In your file system prepare a specific directory that will be used as an entry point for the build system to lookup and parse the configuration files. It is mandatory that this directory contain as a minimum one configuration file called fluent-bit.conf containing the required , and sections. As an example create a new fluent-bit.conf file with the following content:

the configuration provided above will calculate CPU metrics from the running system and print them to the standard output interface.

Build with Custom Configuration

Inside Fluent Bit source code, get into the build/ directory and run CMake appending the FLB_STATIC_CONF option pointing the configuration directory recently created, e.g:

then build it:

At this point the fluent-bit binary generated is ready to run without necessity of further configuration:

Fluent Bit is distributed as fluent-bit package and is available for the latest stable Ubuntu system: Focal Fossa.

Single line install

A simple installation script is provided to be used for most Linux targets. This will always install the most recent version released.

This is purely a convenience helper and should always be validated prior to use. The recommended secure deployment approach is to follow the instructions below.

Server GPG key

The first step is to add our server GPG key to your keyring to ensure you can get our signed packages. Follow the official Debian wiki guidance:

Updated key from March 2022

From the 1.9.0 and 1.8.15 releases please note that the GPG key has been updated at so ensure this new one is added.

The GPG Key fingerprint of the new key is:

The previous key is still available at and may be required to install previous versions.

The GPG Key fingerprint of the old key is:

Update your sources lists

Update your repositories database

Now let your system update the apt database:

Install Fluent Bit

Using the following apt-get command you are able now to install the latest fluent-bit:

Now the following step is to instruct systemd to enable the service:

If you do a status check, you should see a similar output like this:

The default configuration of fluent-bit is collecting metrics of CPU usage and sending the records to the standard output, you can see the outgoing data in your /var/log/syslog file.

Fluent Bit is distributed as fluent-bit package and is available for the Raspberry, specifically for distribution, the following versions are supported:

• Raspbian Bullseye (11)

• Raspbian Buster (10)

Server GPG key

The first step is to add our server GPG key to your keyring, on that way you can get our signed packages:

Updated key from March 2022

From the 1.9.0 and 1.8.15 releases please note that the GPG key has been updated at so ensure this new one is added.

The GPG Key fingerprint of the new key is:

The previous key is still available at and may be required to install previous versions.

The GPG Key fingerprint of the old key is:

Refer to the to see which platforms are supported in each release.

Update your sources lists

On Debian and derivative systems such as Raspbian, you need to add our APT server entry to your sources lists, please add the following content at bottom of your /etc/apt/sources.list file.

Raspbian 11 (Bullseye)

Raspbian 10 (Buster)

Update your repositories database

Now let your system update the apt database:

Install Fluent Bit

Using the following apt-get command you are able now to install the latest fluent-bit:

Now the following step is to instruct systemd to enable the service:

If you do a status check, you should see a similar output like this:

The default configuration of fluent-bit is collecting metrics of CPU usage and sending the records to the standard output, you can see the outgoing data in your /var/log/syslog file.

Install on Redhat / CentOS

Fluent Bit is distributed as fluent-bit package and is available for the latest stable CentOS system. The following architectures are supported

• x86_64

• aarch64 / arm64v8

Single line install

A simple installation script is provided to be used for most Linux targets. This will always install the most recent version released.

curl https://raw.githubusercontent.com/fluent/fluent-bit/master/install.sh | sh

This is purely a convenience helper and should always be validated prior to use. The recommended secure deployment approach is to follow the instructions below.

CentOS 8

CentOS 8 is now EOL so the default Yum repositories are unavailable.

Make sure to configure to use an appropriate mirror, for example:

$ sed -i 's/mirrorlist/#mirrorlist/g' /etc/yum.repos.d/CentOS-* && \
  sed -i 's|#baseurl=http://mirror.centos.org|baseurl=http://vault.centos.org|g' /etc/yum.repos.d/CentOS-*

An alternative is to use Rocky or Alma Linux which should be equivalent.

Configure Yum

We provide fluent-bit through a Yum repository. In order to add the repository reference to your system, please add a new file called fluent-bit.repo in /etc/yum.repos.d/ with the following content:

[fluent-bit]
name = Fluent Bit
baseurl = https://packages.fluentbit.io/centos/$releasever/$basearch/
gpgcheck=1
gpgkey=https://packages.fluentbit.io/fluentbit.key
repo_gpgcheck=1
enabled=1

It is best practice to always enable the gpgcheck and repo_gpgcheck for security reasons. We sign our repository metadata as well as all of our packages.

Updated key from March 2022

From the 1.9.0 and 1.8.15 releases please note that the GPG key has been updated at https://packages.fluentbit.io/fluentbit.key so ensure this new one is added.

The GPG Key fingerprint of the new key is:

C3C0 A285 34B9 293E AF51  FABD 9F9D DC08 3888 C1CD
Fluentbit releases (Releases signing key) <releases@fluentbit.io>

The previous key is still available at https://packages.fluentbit.io/fluentbit-legacy.key and may be required to install previous versions.

The GPG Key fingerprint of the old key is:

F209 D876 2A60 CD49 E680 633B 4FF8 368B 6EA0 722A

Refer to the supported platform documentation to see which platforms are supported in each release.

Install

Once your repository is configured, run the following command to install it:

yum install fluent-bit

Now the following step is to instruct Systemd to enable the service:

sudo service fluent-bit start

If you do a status check, you should see a similar output like this:

$ service fluent-bit status
Redirecting to /bin/systemctl status  fluent-bit.service
● fluent-bit.service - Fluent Bit
   Loaded: loaded (/usr/lib/systemd/system/fluent-bit.service; disabled; vendor preset: disabled)
   Active: active (running) since Thu 2016-07-07 02:08:01 BST; 9s ago
 Main PID: 3820 (fluent-bit)
   CGroup: /system.slice/fluent-bit.service
           └─3820 /opt/fluent-bit/bin/fluent-bit -c etc/fluent-bit/fluent-bit.conf
...

The default configuration of fluent-bit is collecting metrics of CPU usage and sending the records to the standard output, you can see the outgoing data in your /var/log/messages file.

FAQ

Yum install fails with a "404 - Page not found" error for the package mirror

The fluent-bit.repo file for the latest installations of Fluent-Bit uses a $releasever variable to determine the correct version of the package to install to your system:

[fluent-bit]
name = Fluent Bit
baseurl = https://packages.fluentbit.io/centos/$releasever/$basearch/
...

Depending on your Red Hat distribution version, this variable may return a value other than the OS major release version (e.g., RHEL7 Server distributions return "7Server" instead of just "7"). The Fluent-Bit package url uses just the major OS release version, so any other value here will cause a 404.

In order to resolve this issue, you can replace the $releasever variable with your system's OS major release version. For example:

[fluent-bit]
name = Fluent Bit
baseurl = https://packages.fluentbit.io/centos/7/$basearch/
gpgcheck=1
gpgkey=https://packages.fluentbit.io/fluentbit.key
repo_gpgcheck=1
enabled=1

AWS maintains a distribution of Fluent Bit combining the latest official release with a set of Go Plugins for sending logs to AWS services. AWS and Fluent Bit are working together to rewrite their plugins for inclusion in the official Fluent Bit distribution.

Plugins

Currently, the AWS for Fluent Bit image contains Go Plugins for:

• Amazon CloudWatch Logs

• Amazon Kinesis Firehose

• Amazon Kinesis Streams

Fluent Bit includes Amazon CloudWatch Logs plugin named cloudwatch_logs, Amazon Kinesis Firehose plugin named kinesis_firehose and Amazon Kinesis Data Streams plugin named kinesis_streams which are higher performance than Go plugins.

• Amazon CloudWatch

• Amazon Kinesis Data Firehose

• Amazon Kinesis Data Streams

Also, Fluent Bit includes S3 output plugin named s3.

• Amazon S3

Versions and Regional Repositories

AWS vends their container image via Docker Hub, and a set of highly available regional Amazon ECR repositories. For more information, see the AWS for Fluent Bit GitHub repo.

The AWS for Fluent Bit image uses a custom versioning scheme because it contains multiple projects. To see what each release contains, check out the release notes on GitHub.

SSM Public Parameters

AWS vends SSM Public Parameters with the regional repository link for each image. These parameters can be queried by any AWS account.

To see a list of available version tags in a given region, run the following command:

aws ssm get-parameters-by-path --region eu-central-1 --path /aws/service/aws-for-fluent-bit/ --query 'Parameters[*].Name'

To see the ECR repository URI for a given image tag in a given region, run the following:

$ aws ssm get-parameter --region ap-northeast-1 --name /aws/service/aws-for-fluent-bit/2.0.0

You can use these SSM public parameters as parameters in your CloudFormation templates:

Parameters:
  FireLensImage:
    Description: Fluent Bit image for the FireLens Container
    Type: AWS::SSM::Parameter::Value<String>
    Default: /aws/service/aws-for-fluent-bit/latest

Fluent Bit is distributed as fluent-bit package and is available for the latest (and old) stable Debian systems: Buster, Stretch and Jessie.

Single line install

A simple installation script is provided to be used for most Linux targets. This will always install the most recent version released.

curl https://raw.githubusercontent.com/fluent/fluent-bit/master/install.sh | sh

This is purely a convenience helper and should always be validated prior to use. The recommended secure deployment approach is to follow the instructions below.

Server GPG key

The first step is to add our server GPG key to your keyring, on that way you can get our signed packages. Follow the official Debian wiki guidance: https://wiki.debian.org/DebianRepository/UseThirdParty#OpenPGP\_Key\_distribution

curl https://packages.fluentbit.io/fluentbit.key | gpg --dearmor > /usr/share/keyrings/fluentbit-keyring.gpg

Updated key from March 2022

From the 1.9.0 and 1.8.15 releases please note that the GPG key has been updated at https://packages.fluentbit.io/fluentbit.key so ensure this new one is added.

The GPG Key fingerprint of the new key is:

C3C0 A285 34B9 293E AF51  FABD 9F9D DC08 3888 C1CD
Fluentbit releases (Releases signing key) <releases@fluentbit.io>

The previous key is still available at https://packages.fluentbit.io/fluentbit-legacy.key and may be required to install previous versions.

The GPG Key fingerprint of the old key is:

F209 D876 2A60 CD49 E680 633B 4FF8 368B 6EA0 722A

Refer to the supported platform documentation to see which platforms are supported in each release.

Update your sources lists

On Debian, you need to add our APT server entry to your sources lists, please add the following content at bottom of your /etc/apt/sources.list file - ensure to set CODENAME to your specific Debian release name (e.g. bullseye for Debian 11):

deb [signed-by=/usr/share/keyrings/fluentbit-keyring.gpg] https://packages.fluentbit.io/debian/${CODENAME} ${CODENAME} main

Update your repositories database

Now let your system update the apt database:

sudo apt-get update

Install Fluent Bit

Using the following apt-get command you are able now to install the latest fluent-bit:

sudo apt-get install fluent-bit

Now the following step is to instruct systemd to enable the service:

sudo systemctl fluent-bit start

If you do a status check, you should see a similar output like this:

sudo service fluent-bit status
● fluent-bit.service - Fluent Bit
   Loaded: loaded (/lib/systemd/system/fluent-bit.service; disabled; vendor preset: enabled)
   Active: active (running) since mié 2016-07-06 16:58:25 CST; 2h 45min ago
 Main PID: 6739 (fluent-bit)
    Tasks: 1
   Memory: 656.0K
      CPU: 1.393s
   CGroup: /system.slice/fluent-bit.service
           └─6739 /opt/fluent-bit/bin/fluent-bit -c /etc/fluent-bit/fluent-bit.conf
...

The default configuration of fluent-bit is collecting metrics of CPU usage and sending the records to the standard output, you can see the outgoing data in your /var/log/syslog file.

Fluent Bit container images are available on Docker Hub ready for production usage. Current available images can be deployed in multiple architectures.

Quick Start

Get started by simply typing the following command:

docker run -ti cr.fluentbit.io/fluent/fluent-bit

Tags and Versions

The following table describes the tags that are available on Docker Hub fluent/fluent-bit repository:

It is strongly suggested that you always use the latest image of Fluent Bit.

Multi Architecture Images

Our production stable images are based on Distroless focusing on security containing just the Fluent Bit binary and minimal system libraries and basic configuration. We also provide debug images for all architectures (from 1.9.0+) which contain a full (Debian) shell and package manager that can be used to troubleshoot or for testing purposes.

From a deployment perspective, there is no need to specify an architecture, the container client tool that pulls the image gets the proper layer for the running architecture.

Getting Started

Download the last stable image from 1.9 series:

docker pull cr.fluentbit.io/fluent/fluent-bit:1.9

Once the image is in place, now run the following (useless) test which makes Fluent Bit measure CPU usage by the container:

docker run -ti cr.fluentbit.io/fluent/fluent-bit:1.9 \
  -i cpu -o stdout -f 1

That command will let Fluent Bit measure CPU usage every second and flush the results to the standard output, e.g:

[2019/10/01 12:29:02] [ info] [engine] started
[0] cpu.0: [1504290543.000487750, {"cpu_p"=>0.750000, "user_p"=>0.250000, "system_p"=>0.500000, "cpu0.p_cpu"=>0.000000, "cpu0.p_user"=>0.000000, "cpu0.p_system"=>0.000000, "cpu1.p_cpu"=>1.000000, "cpu1.p_user"=>0.000000, "cpu1.p_system"=>1.000000, "cpu2.p_cpu"=>1.000000, "cpu2.p_user"=>1.000000, "cpu2.p_system"=>0.000000, "cpu3.p_cpu"=>0.000000, "cpu3.p_user"=>0.000000, "cpu3.p_system"=>0.000000}]

F.A.Q

Why there is no Fluent Bit Docker image based on Alpine Linux ?

Alpine Linux uses Musl C library instead of Glibc. Musl is not fully compatible with Glibc which generated many issues in the following areas when used with Fluent Bit:

• Memory Allocator: to run Fluent Bit properly in high-load environments, we use Jemalloc as a default memory allocator which reduce fragmentation and provides better performance for our needs. Jemalloc cannot run smoothly with Musl and requires extra work.

• Alpine Linux Musl functions bootstrap have a compatibility issue when loading Golang shared libraries, this generate problems when trying to load Golang output plugins in Fluent Bit.

• Alpine Linux Musl Time format parser does not support Glibc extensions

• Maintainers preference in terms of base image due to security and maintenance reasons are Distroless and Debian.

Fluent Bit uses CMake as it build system. The suggested procedure to prepare the build system consists of the following steps:

Prepare environment

In the following steps you can find exact commands to build and install the project with the default options. If you already know how CMake works you can skip this part and look at the build options available. Note that Fluent Bit requires CMake 3.x. You may need to use cmake3 instead of cmake to complete the following steps on your system.

Change to the build/ directory inside the Fluent Bit sources:

$ cd build/

Let CMake configure the project specifying where the root path is located:

$ cmake ../
-- The C compiler identification is GNU 4.9.2
-- Check for working C compiler: /usr/bin/cc
-- Check for working C compiler: /usr/bin/cc -- works
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- The CXX compiler identification is GNU 4.9.2
-- Check for working CXX compiler: /usr/bin/c++
-- Check for working CXX compiler: /usr/bin/c++ -- works
...
-- Could NOT find Doxygen (missing:  DOXYGEN_EXECUTABLE)
-- Looking for accept4
-- Looking for accept4 - not found
-- Configuring done
-- Generating done
-- Build files have been written to: /home/edsiper/coding/fluent-bit/build

Now you are ready to start the compilation process through the simple make command:

$ make
Scanning dependencies of target msgpack
[  2%] Building C object lib/msgpack-1.1.0/CMakeFiles/msgpack.dir/src/unpack.c.o
[  4%] Building C object lib/msgpack-1.1.0/CMakeFiles/msgpack.dir/src/objectc.c.o
[  7%] Building C object lib/msgpack-1.1.0/CMakeFiles/msgpack.dir/src/version.c.o
...
[ 19%] Building C object lib/monkey/mk_core/CMakeFiles/mk_core.dir/mk_file.c.o
[ 21%] Building C object lib/monkey/mk_core/CMakeFiles/mk_core.dir/mk_rconf.c.o
[ 23%] Building C object lib/monkey/mk_core/CMakeFiles/mk_core.dir/mk_string.c.o
...
Scanning dependencies of target fluent-bit-static
[ 66%] Building C object src/CMakeFiles/fluent-bit-static.dir/flb_pack.c.o
[ 69%] Building C object src/CMakeFiles/fluent-bit-static.dir/flb_input.c.o
[ 71%] Building C object src/CMakeFiles/fluent-bit-static.dir/flb_output.c.o
...
Linking C executable ../bin/fluent-bit
[100%] Built target fluent-bit-bin

to continue installing the binary on the system just do:

$ make install

it's likely you may need root privileges so you can try to prefixing the command with sudo.

Build Options

Fluent Bit provides certain options to CMake that can be enabled or disabled when configuring, please refer to the following tables under the General Options, Development Options, Input Plugins and _Output Plugins sections.

General Options

Development Options

Optimization Options

Input Plugins

The input plugins provides certain features to gather information from a specific source type which can be a network interface, some built-in metric or through a specific input device, the following input plugins are available:

Filter Plugins

The filter plugins allows to modify, enrich or drop records. The following table describes the filters available on this version:

Output Plugins

The output plugins gives the capacity to flush the information to some external interface, service or terminal, the following table describes the output plugins available as of this version:

Currently, Fluent Bit supports two configuration formats:

• .

• . (YAML configuration is tech preview so not recommended for production.)

CLI flags

Fluent Bit also supports a CLI interface with various flags matching up to the configuration options available.

source code provides Bitbake recipes to configure, build and package the software for a Yocto based image. Note that specific steps of usage of these recipes in your Yocto environment (Poky) is out of the scope of this documentation.

We distribute two main recipes, one for testing/dev purposes and other with the latest stable release.

It's strongly recommended to always use the stable release of Fluent Bit recipe and not the one from GIT master for production deployments.

Fluent Bit and other architectures

Fluent Bit >= v1.1.x fully supports x86_64, x86, arm32v7 and arm64v8.

Fluent Bit is compatible with latest Apple macOS system on x86_64 and Apple Silicon M1 architectures. At the moment there is no official supported package but you can build it from sources by following the instructions below.

Requirements

For the next steps, you will need to have installed in your system, if is not there, you can install it with the following command:

Install build dependencies

Run the following brew command in your terminal to retrieve the dependencies:

Get the source and build it

Grab a fresh copy of the Fluent Bit source code (upstream):

Optionally, if you want to use a specific version, just checkout to the proper tag. If you want to use v1.8.13 just do:

In order to prepare the build system, we need to expose certain environment variables so Fluent Bit CMake build rules can pick the right libraries:

Change to the build/ directory inside the Fluent Bit sources:

Build Fluent Bit. Note that we are indicating to the build system "where" the final binaries and config files should be installed:

Install the data. Note that this requires root privileges due to the directory we will write information to:

The binaries and configuration examples can be located at /opt/fluent-bit/.

Create macOS installer from source

Grab a fresh copy of the Fluent Bit source code (upstream):

Optionally, if you want to use a specific version, just checkout to the proper tag. If you want to use v1.9.2 just do:

In order to prepare the build system, we need to expose certain environment variables so Fluent Bit CMake build rules can pick the right libraries:

And then, creating the specific macOS SDK target (For example, sepcifying macOS Big Sur (11.3) SDK environment):

Change to the build/ directory inside the Fluent Bit sources:

Build Fluent Bit macOS installer.

Then, macOS installer will be generated as:

Finally, fluent-bit-<fluent-bit version>-(intel or apple).pkg will be generated.

The created installer will put binaries at /opt/fluent-bit/.

Running Fluent Bit

To make the access path easier to Fluent Bit binary, in your terminal extend the PATH variable:

Now as a simple test, try Fluent Bit by generating a simple dummy message which will be printed to the standard output interface every 1 second:

You will see an output similar to this:

To halt the process, press ctrl-c in the terminal.

Learn how to .

is a lightweight and extensible Log Processor that comes with full support for Kubernetes:

• Process Kubernetes containers logs from the file system or Systemd/Journald.

• Enrich logs with Kubernetes Metadata.

• Centralize your logs in third party storage services like Elasticsearch, InfluxDB, HTTP, etc.

Concepts

Before getting started it is important to understand how Fluent Bit will be deployed. Kubernetes manages a cluster of nodes, so our log agent tool will need to run on every node to collect logs from every POD, hence Fluent Bit is deployed as a DaemonSet (a POD that runs on every node of the cluster).

When Fluent Bit runs, it will read, parse and filter the logs of every POD and will enrich each entry with the following information (metadata):

• Pod Name

• Pod ID

• Container Name

• Container ID

• Labels

• Annotations

To obtain this information, a built-in filter plugin called kubernetes talks to the Kubernetes API Server to retrieve relevant information such as the pod_id, labels and annotations, other fields such as pod_name, container_id and container_name are retrieved locally from the log file names. All of this is handled automatically, no intervention is required from a configuration aspect.

Installation

The recommended way to deploy Fluent Bit is with the official Helm Chart: https://github.com/fluent/helm-charts

Note for OpenShift

If you are using Red Hat OpenShift you will also need to set up security context constraints (SCC):

Installing with Helm Chart

To add the Fluent Helm Charts repo use the following command

To validate that the repo was added you can run helm search repo fluent to ensure the charts were added. The default chart can then be installed by running the following

Default Values

Details

The default configuration of Fluent Bit makes sure of the following:

• Consume all containers logs from the running Node.

• The Kubernetes filter will enrich the logs with Kubernetes metadata, specifically labels and annotations. The filter only goes to the API Server when it cannot find the cached info, otherwise it uses the cache.

• There is an option called Retry_Limit set to False, that means if Fluent Bit cannot flush the records to Elasticsearch it will re-try indefinitely until it succeed.

Container Runtime Interface (CRI) parser

Fluent Bit by default assumes that logs are formatted by the Docker interface standard. However, when using CRI you can run into issues with malformed JSON if you do not modify the parser used. Fluent Bit includes a CRI log parser that can be used instead. An example of the parser is seen below:

To use this parser change the Input section for your configuration from docker to cri

Windows Deployment

Since v1.5.0, Fluent Bit supports deployment to Windows pods.

Log files overview

When deploying Fluent Bit to Kubernetes, there are three log files that you need to pay attention to.

C:\k\kubelet.err.log

• This is the error log file from kubelet daemon running on host.

• You will need to retain this file for future troubleshooting (to debug deployment failures etc.)

C:\var\log\containers\<pod>_<namespace>_<container>-<docker>.log

• This is the main log file you need to watch. Configure Fluent Bit to follow this file.

• It is actually a symlink to the Docker log file in C:\ProgramData\, with some additional metadata on its file name.

C:\ProgramData\Docker\containers\<docker>\<docker>.log

• This is the log file produced by Docker.

• Normally you don't directly read from this file, but you need to make sure that this file is visible from Fluent Bit.

Typically, your deployment yaml contains the following volume configuration.

Configure Fluent Bit

Mitigate unstable network on Windows pods

• DNS_Retries - Retries N times until the network start working (6)

• DNS_Wait_Time - Lookup interval between network status checks (30)

By default, Fluent Bit waits for 3 minutes (30 seconds x 6 times). If it's not enough for you, tweak the configuration as follows.

Fluent Bit is distributed as fluent-bit package for Windows. Fluent Bit has two flavours of Windows installers: a ZIP archive (for quick testing) and an EXE installer (for system installation).

Configuration

Make sure to provide a valid Windows configuration with the installation, a sample one is shown below:

Migration to Fluent Bit

From version 1.9.0, td-agent-bit is a deprecated package and was removed after 1.9.9. The correct package name to use now is fluent-bit.

Installation Packages

The latest stable version is 1.9.10, each version is available on the Github release as well as at https://releases.fluentbit.io/<Major Version>/Major>fluent-bit-<Full Version>-win[32|64].[exe|zip]:

To check the integrity, use Get-FileHash cmdlet on PowerShell.

Installing from ZIP archive

Download a ZIP archive from above. There are installers for 32-bit and 64-bit environments, so choose one suitable for your environment.

Then you need to expand the ZIP archive. You can do this by clicking "Extract All" on Explorer, or if you're using PowerShell, you can use Expand-Archive cmdlet.

The ZIP package contains the following set of files.

Now, launch cmd.exe or PowerShell on your machine, and execute fluent-bit.exe as follows.

If you see the following output, it's working fine!

To halt the process, press CTRL-C in the terminal.

Installing from EXE installer

Double-click the EXE installer you've downloaded. The installation wizard will automatically start.

Click Next and proceed. By default, Fluent Bit is installed into C:\Program Files\fluent-bit\, so you should be able to launch fluent-bit as follows after installation.

Installer options

To silently install to C:\fluent-bit directory here is an example:

The uninstaller automatically provided also supports a silent un-install using the same /S flag. This may be useful for provisioning with automation like Ansible, Puppet, etc.

Windows Service Support

Windows services are equivalent to "daemons" in UNIX (i.e. long-running background processes). Since v1.5.0, Fluent Bit has the native support for Windows Service.

Suppose you have the following installation layout:

To register Fluent Bit as a Windows service, you need to execute the following command on Command Prompt. Please be careful that a single space is required after binpath=.

Now Fluent Bit can be started and managed as a normal Windows service.

To halt the Fluent Bit service, just execute the "stop" command.

To start Fluent Bit automatically on boot, execute the following:

[FAQ] Fluent Bit fails to start up when installed under C:\Program Files

Quotations are required if file paths contain spaces. Here is an example:

[FAQ] How can I manage Fluent Bit service via PowerShell?

Instead of sc.exe, PowerShell can be used to manage Windows services.

Create a Fluent Bit service:

Start the service:

Query the service status:

Stop the service:

Remove the service (requires PowerShell 6.0 or later)

Compile from Source

If you need to create a custom executable, you can use the following procedure to compile Fluent Bit by yourself.

Preparation

First, you need Microsoft Visual C++ to compile Fluent Bit. You can install the minimum toolkit by the following command:

When asked which packages to install, choose "C++ Build Tools" (make sure that "C++ CMake tools for Windows" is selected too) and wait until the process finishes.

Compilation

Open the start menu on Windows and type "Developer Command Prompt".

Clone the source code of Fluent Bit.

Compile the source code.

Now you should be able to run Fluent Bit:

Packaging

To create a ZIP package, call cpack as follows: