Kubernetes
Fluent Bit Kubernetes Filter allows to enrich your log files with Kubernetes metadata.
When Fluent Bit is deployed in Kubernetes as a DaemonSet and configured to read the log files from the containers (using tail or systemd input plugins), this filter aims to perform the following operations:
Analyze the Tag and extract the following metadata:
Pod Name
Namespace
Container Name
Container ID
Query Kubernetes API Server to obtain extra metadata for the POD in question:
Pod ID
Labels
Annotations
Namespace Labels
Namespace Annotations
The data is cached locally in memory and appended to each record.
Configuration Parameters
The plugin supports the following configuration parameters:
Buffer_Size
Set the buffer size for HTTP client when reading responses from Kubernetes API server. The value must be according to the Unit Size specification. A value of 0
results in no limit, and the buffer will expand as-needed. Note that if pod specifications exceed the buffer limit, the API response will be discarded when retrieving metadata, and some kubernetes metadata will fail to be injected to the logs.
32k
Kube_CA_File
CA certificate file
/var/run/secrets/kubernetes.io/serviceaccount/ca.crt
Kube_CA_Path
Absolute path to scan for certificate files
Kube_Token_File
Token file
/var/run/secrets/kubernetes.io/serviceaccount/token
Kube_Tag_Prefix
When the source records comes from Tail input plugin, this option allows to specify what's the prefix used in Tail configuration.
kube.var.log.containers.
Merge_Log
When enabled, it checks if the log
field content is a JSON string map, if so, it append the map fields as part of the log structure.
Off
Merge_Log_Key
When Merge_Log
is enabled, the filter tries to assume the log
field from the incoming message is a JSON string message and make a structured representation of it at the same level of the log
field in the map. Now if Merge_Log_Key
is set (a string name), all the new structured fields taken from the original log
content are inserted under the new key.
Merge_Log_Trim
When Merge_Log
is enabled, trim (remove possible \n or \r) field values.
On
Merge_Parser
Optional parser name to specify how to parse the data contained in the log key. Recommended use is for developers or testing only.
Keep_Log
When Keep_Log
is disabled, the log
field is removed from the incoming message once it has been successfully merged (Merge_Log
must be enabled as well).
On
tls.debug
Debug level between 0 (nothing) and 4 (every detail).
-1
tls.verify
When enabled, turns on certificate validation when connecting to the Kubernetes API server.
On
Use_Journal
When enabled, the filter reads logs coming in Journald format.
Off
Cache_Use_Docker_Id
When enabled, metadata will be fetched from K8s when docker_id is changed.
Off
Regex_Parser
Set an alternative Parser to process record Tag and extract pod_name, namespace_name, container_name and docker_id. The parser must be registered in a parsers file (refer to parser filter-kube-test as an example).
K8S-Logging.Parser
Allow Kubernetes Pods to suggest a pre-defined Parser (read more about it in Kubernetes Annotations section)
Off
K8S-Logging.Exclude
Allow Kubernetes Pods to exclude their logs from the log processor (read more about it in Kubernetes Annotations section).
Off
Labels
Include Kubernetes pod resource labels in the extra metadata.
On
Annotations
Include Kubernetes pod resource annotations in the extra metadata.
On
Kube_meta_preload_cache_dir
If set, Kubernetes meta-data can be cached/pre-loaded from files in JSON format in this directory, named as namespace-pod.meta
Dummy_Meta
If set, use dummy-meta data (for test/dev purposes)
Off
DNS_Retries
DNS lookup retries N times until the network start working
6
DNS_Wait_Time
DNS lookup interval between network status checks
30
Use_Kubelet
this is an optional feature flag to get metadata information from kubelet instead of calling Kube Server API to enhance the log. This could mitigate the Kube API heavy traffic issue for large cluster. If used when any Kubernetes Namespace Meta fields are enabled, Kubelet will be used to fetch pod data, but namespace meta will still be fetched using the Kube_URL
settings.
Off
Kubelet_Port
kubelet port using for HTTP request, this only works when Use_Kubelet
set to On.
10250
Kubelet_Host
kubelet host using for HTTP request, this only works when Use_Kubelet
set to On.
127.0.0.1
Kube_Meta_Cache_TTL
configurable TTL for K8s cached pod metadata. By default, it is set to 0 which means TTL for cache entries is disabled and cache entries are evicted at random when capacity is reached. In order to enable this option, you should set the number to a time interval. For example, set this value to 60 or 60s and cache entries which have been created more than 60s will be evicted.
0
Kube_Token_TTL
configurable 'time to live' for the K8s token. By default, it is set to 600 seconds. After this time, the token is reloaded from Kube_Token_File or the Kube_Token_Command.
600
Kube_Token_Command
Command to get Kubernetes authorization token. By default, it will be NULL
and we will use token file to get token. If you want to manually choose a command to get it, you can set the command here. For example, run aws-iam-authenticator -i your-cluster-name token --token-only
to set token. This option is currently Linux-only.
Kube_Meta_Namespace_Cache_TTL
configurable TTL for K8s cached namespace metadata. By default, it is set to 900 which means a 15min TTL for namespace cache entries. Setting this to 0 will mean entries are evicted at random once the cache is full.
900
Namespace_Labels
Include Kubernetes namespace resource labels in the extra metadata. See Kubernetes Namespace Meta
Off
Namespace_Annotations
Include Kubernetes namespace resource annotations in the extra metadata. See Kubernetes Namespace Meta
Off
Namespace_Metadata_Only
Include Kubernetes namespace metadata only and no pod metadata. If this is set, the values of Labels
and Annotations
are ignored. See Kubernetes Namespace Meta
Off
Processing the 'log' value
Kubernetes Filter aims to provide several ways to process the data contained in the log key. The following explanation of the workflow assumes that your original Docker parser defined in parsers.conf is as follows:
Since Fluent Bit v1.2 we are not suggesting the use of decoders (Decode_Field_As) if you are using Elasticsearch database in the output to avoid data type conflicts.
To perform processing of the log key, it's mandatory to enable the Merge_Log configuration property in this filter, then the following processing order will be done:
If a Pod suggest a parser, the filter will use that parser to process the content of log.
If the option Merge_Parser was set and the Pod did not suggest a parser, process the log content using the suggested parser in the configuration.
If no Pod was suggested and no Merge_Parser is set, try to handle the content as JSON.
If log value processing fails, the value is untouched. The order above is not chained, meaning it's exclusive and the filter will try only one of the options above, not all of them.
Kubernetes Namespace Meta
Namespace Meta can be enabled via the following settings:
Namespace_Labels
Namespace_Annotations
Using any Namespace Meta requires the use of the Kube API as it can not be fetched directly from Kubelet. If Use_Kubelet On
has been set, the Kubelet api will only be used to fetch pod metadata, while namespace meta is fetched from the upstream Kubernetes API.
Namespace Meta if collected will be stored within a kubernetes_namespace
record key.
Namespace meta is not be guaranteed to be in sync as namespace labels & annotations can be adjusted after pod creation. Adjust
Kube_Meta_Namespace_Cache_TTL
to lower caching times to fit your use case.
Namespace_Metadata_Only
Using this feature will instruct fluent-bit to only fetch namespace metadata and to not fetch POD metadata at all. POD basic metadata like container id, host, etc will be NOT be added and the Labels and Annotations configuration options which are used specifically for POD Metadata will be ignored.
Kubernetes Pod Annotations
A flexible feature of Fluent Bit Kubernetes filter is that allow Kubernetes Pods to suggest certain behaviors for the log processor pipeline when processing the records. At the moment it support:
Suggest a pre-defined parser
Request to exclude logs
The following annotations are available:
fluentbit.io/parser[_stream][-container]
Suggest a pre-defined parser. The parser must be registered already by Fluent Bit. This option will only be processed if Fluent Bit configuration (Kubernetes Filter) have enabled the option K8S-Logging.Parser. If present, the stream (stdout or stderr) will restrict that specific stream. If present, the container can override a specific container in a Pod.
fluentbit.io/exclude[_stream][-container]
Request to Fluent Bit to exclude or not the logs generated by the Pod. This option will only be processed if Fluent Bit configuration (Kubernetes Filter) have enabled the option K8S-Logging.Exclude.
False
Annotation Examples in Pod definition
Suggest a parser
The following Pod definition runs a Pod that emits Apache logs to the standard output, in the Annotations it suggest that the data should be processed using the pre-defined parser called apache:
Request to exclude logs
There are certain situations where the user would like to request that the log processor simply skip the logs from the Pod in question:
Note that the annotation value is boolean which can take a true or false and must be quoted.
Workflow of Tail + Kubernetes Filter
Kubernetes Filter depends on either Tail or Systemd input plugins to process and enrich records with Kubernetes metadata. Here we will explain the workflow of Tail and how it configuration is correlated with Kubernetes filter. Consider the following configuration example (just for demo purposes, not production):
In the input section, the Tail plugin will monitor all files ending in .log in path /var/log/containers/. For every file it will read every line and apply the docker parser. Then the records are emitted to the next step with an expanded tag.
Tail support Tags expansion, which means that if a tag have a star character (*), it will replace the value with the absolute path of the monitored file, so if you file name and path is:
then the Tag for every record of that file becomes:
note that slashes are replaced with dots.
When Kubernetes Filter runs, it will try to match all records that starts with kube. (note the ending dot), so records from the file mentioned above will hit the matching rule and the filter will try to enrich the records
Kubernetes Filter do not care from where the logs comes from, but it cares about the absolute name of the monitored file, because that information contains the pod name and namespace name that are used to retrieve associated metadata to the running Pod from the Kubernetes Master/API Server.
If you have large pod specifications (can be caused by large numbers of environment variables, etc.), be sure to increase the
Buffer_Size
parameter of the kubernetes filter. If object sizes exceed this buffer, some metadata will fail to be injected to the logs.
If the configuration property Kube_Tag_Prefix was configured (available on Fluent Bit >= 1.1.x), it will use that value to remove the prefix that was appended to the Tag in the previous Input section. Note that the configuration property defaults to kube.var.logs.containers. , so the previous Tag content will be transformed from:
to:
the transformation above do not modify the original Tag, just creates a new representation for the filter to perform metadata lookup.
that new value is used by the filter to lookup the pod name and namespace, for that purpose it uses an internal Regular expression:
If you want to know more details, check the source code of that definition here.
You can see on Rublar.com web site how this operation is performed, check the following demo link:
Custom Regex
Under certain and not common conditions, a user would want to alter that hard-coded regular expression, for that purpose the option Regex_Parser can be used (documented on top).
Custom Tag For Enhanced Filtering
One such use case involves splitting logs by namespace, pods, containers or container id. The tag is restructured within the tail input using match groups, this can simplify the filtering by those match groups later in the pipeline. Since the tag no longer follows the original file name, a custom Regex_Parser that matches the new tag structure is required:
Final Comments
So at this point the filter is able to gather the values of pod_name and namespace, with that information it will check in the local cache (internal hash table) if some metadata for that key pair exists, if so, it will enrich the record with the metadata value, otherwise it will connect to the Kubernetes Master/API Server and retrieve that information.
Optional Feature: Using Kubelet to Get Metadata
There is an issue reported about kube-apiserver fall over and become unresponsive when cluster is too large and too many requests are sent to it. For this feature, fluent bit Kubernetes filter will send the request to kubelet /pods endpoint instead of kube-apiserver to retrieve the pods information and use it to enrich the log. Since Kubelet is running locally in nodes, the request would be responded faster and each node would only get one request one time. This could save kube-apiserver power to handle other requests. When this feature is enabled, you should see no difference in the kubernetes metadata added to logs, but the Kube-apiserver bottleneck should be avoided when cluster is large.
Configuration Setup
There are some configuration setup needed for this feature.
Role Configuration for Fluent Bit DaemonSet Example:
The difference is that kubelet need a special permission for resource nodes/proxy
to get HTTP request in. When creating the role
or clusterRole
, you need to add nodes/proxy
into the rule for resource.
Fluent Bit Configuration Example:
So for fluent bit configuration, you need to set the Use_Kubelet
to true to enable this feature.
DaemonSet config Example:
The key point is to set hostNetwork
to true
and dnsPolicy
to ClusterFirstWithHostNet
that fluent bit DaemonSet could call Kubelet locally. Otherwise it could not resolve the dns for kubelet.
Now you are good to use this new feature!
Verify that the Use_Kubelet option is working
Basically you should see no difference about your experience for enriching your log files with Kubernetes metadata.
To check if Fluent Bit is using the kubelet, you can check fluent bit logs and there should be a log like this:
And if you are in debug mode, you could see more:
Troubleshooting
The following section goes over specific log messages you may run into and how to solve them to ensure that Fluent Bit's Kubernetes filter is operating properly
I can't see metadata appended to my pod or other Kubernetes objects
If you are not seeing metadata added to your kubernetes logs and see the following in your log message, then you may be facing connectivity issues with the Kubernetes API server.
Potential fix #1: Check Kubernetes roles
When Fluent Bit is deployed as a DaemonSet it generally runs with specific roles that allow the application to talk to the Kubernetes API server. If you are deployed in a more restricted environment check that all the Kubernetes roles are set correctly.
You can test this by running the following command (replace fluentbit-system
with the namespace where your fluentbit is installed)
If set roles are configured correctly, it should simply respond with yes
.
For instance, using Azure AKS, running the above command may respond with:
If you have connectivity to the API server, but still "could not get meta for POD" - debug logging might give you a message with Azure does not have opinion for this user
. Then the following subject
may need to be included in the fluentbit
ClusterRoleBinding
:
appended to subjects
array:
Potential fix #2: Check Kubernetes IPv6
There may be cases where you have IPv6 on in the environment and you need to enable this within Fluent Bit. Under the service tag please set the following option ipv6
to on
.
Potential fix #3: Check connectivity to Kube_URL
By default the Kube_URL is set to https://kubernetes.default.svc:443
. Ensure that you have connectivity to this endpoint from within the cluster and that there are no special permission interfering with the connection.
I can't see new objects getting metadata
In some cases, you may only see some objects being appended with metadata while other objects are not enriched. This can occur at times when local data is cached and does not contain the correct id for the kubernetes object that requires enrichment. For most Kubernetes objects the Kubernetes API server is updated which will then be reflected in Fluent Bit logs, however in some cases for Pod
objects this refresh to the Kubernetes API server can be skipped, causing metadata to be skipped.
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