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
The data is cached locally in memory and appended to each record.
Configuration Parameters
The plugin supports the following configuration parameters:
Key
Description
Default
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_URL
API Server end-point
​https://kubernetes.default.svc:443​
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 resource labels in the extra metadata.
On
Annotations
Include Kubernetes 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.
Off
Kubelet_Port
kubelet port using for HTTP request, this only works when Use_Kubelet set to On.
10250
Kube_Meta_Cache_TTL
configurable TTL for K8s cached 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_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.
​
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:
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[PARSER]
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    Name         docker
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    Format       json
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    Time_Key     time
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    Time_Format  %Y-%m-%dT%H:%M:%S.%L
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    Time_Keep    On
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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 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:
Annotation
Description
Default
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:
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apiVersion: v1
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kind: Pod
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metadata:
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  name: apache-logs
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  labels:
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    app: apache-logs
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  annotations:
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    fluentbit.io/parser: apache
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spec:
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  containers:
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  - name: apache
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    image: edsiper/apache_logs
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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:
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apiVersion: v1
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kind: Pod
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metadata:
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  name: apache-logs
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  labels:
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    app: apache-logs
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  annotations:
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    fluentbit.io/exclude: "true"
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spec:
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  containers:
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  - name: apache
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    image: edsiper/apache_logs
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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):
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[INPUT]
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    Name    tail
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    Tag     kube.*
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    Path    /var/log/containers/*.log
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    Parser  docker
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​
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[FILTER]
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    Name             kubernetes
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    Match            kube.*
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    Kube_URL         https://kubernetes.default.svc:443
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    Kube_CA_File     /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
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    Kube_Token_File  /var/run/secrets/kubernetes.io/serviceaccount/token
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    Kube_Tag_Prefix  kube.var.log.containers.
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    Merge_Log        On
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    Merge_Log_Key    log_processed
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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:
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/var/log/container/apache-logs-annotated_default_apache-aeeccc7a9f00f6e4e066aeff0434cf80621215071f1b20a51e8340aa7c35eac6.log
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then the Tag for every record of that file becomes:
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kube.var.log.containers.apache-logs-annotated_default_apache-aeeccc7a9f00f6e4e066aeff0434cf80621215071f1b20a51e8340aa7c35eac6.log
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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:
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kube.var.log.containers.apache-logs-annotated_default_apache-aeeccc7a9f00f6e4e066aeff0434cf80621215071f1b20a51e8340aa7c35eac6.log
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to:
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apache-logs-annotated_default_apache-aeeccc7a9f00f6e4e066aeff0434cf80621215071f1b20a51e8340aa7c35eac6.log
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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:
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(?<pod_name>[a-z0-9](?:[-a-z0-9]*[a-z0-9])?(?:\.[a-z0-9]([-a-z0-9]*[a-z0-9])?)*)_(?<namespace_name>[^_]+)_(?<container_name>.+)-(?<docker_id>[a-z0-9]{64})\.log$
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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:
​https://rubular.com/r/HZz3tYAahj6JCd​
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).
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:
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---
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apiVersion: v1
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kind: ServiceAccount
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metadata:
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  name: fluentbitds
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  namespace: fluentbit-system
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---
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apiVersion: rbac.authorization.k8s.io/v1beta1
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kind: ClusterRole
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metadata:
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  name: fluentbit
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rules:
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  - apiGroups: [""]
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    resources:
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      - namespaces
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      - pods
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      - nodes
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      - nodes/proxy
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    verbs: 
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      - get
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      - list
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      - watch
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---
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apiVersion: rbac.authorization.k8s.io/v1beta1
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kind: ClusterRoleBinding
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metadata:
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  name: fluentbit
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roleRef:
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  apiGroup: rbac.authorization.k8s.io
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  kind: ClusterRole
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  name: fluentbit
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subjects:
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  - kind: ServiceAccount
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    name: fluentbitds
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    namespace: fluentbit-system
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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:
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    [INPUT]
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        Name              tail
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        Tag               kube.*
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        Path              /var/log/containers/*.log
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        DB                /var/log/flb_kube.db
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        Parser            docker
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        Docker_Mode       On
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        Mem_Buf_Limit     50MB
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        Skip_Long_Lines   On
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        Refresh_Interval  10
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​
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    [FILTER]
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        Name                kubernetes
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        Match               kube.*
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        Kube_URL            https://kubernetes.default.svc.cluster.local:443
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        Kube_CA_File        /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
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        Kube_Token_File     /var/run/secrets/kubernetes.io/serviceaccount/token
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        Merge_Log           On
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        Buffer_Size         0
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        Use_Kubelet         true
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        Kubelet_Port        10250
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So for fluent bit configuration, you need to set the Use_Kubelet to true to enable this feature.
DaemonSet config Example:
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---
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apiVersion: apps/v1
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kind: DaemonSet
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metadata:
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  name: fluentbit
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  namespace: fluentbit-system
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  labels:
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    app.kubernetes.io/name: fluentbit
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spec:
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  selector:
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    matchLabels:
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      name: fluentbit
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  template:
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    metadata:
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      labels:
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        name: fluentbit
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    spec:
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      serviceAccountName: fluentbitds
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      containers:
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        - name: fluent-bit
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          imagePullPolicy: Always
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          image: fluent/fluent-bit:latest
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          volumeMounts:
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            - name: varlog
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              mountPath: /var/log
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            - name: varlibdockercontainers
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              mountPath: /var/lib/docker/containers
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              readOnly: true
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            - name: fluentbit-config
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              mountPath: /fluent-bit/etc/
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          resources:
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            limits:
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              memory: 1500Mi
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            requests:
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              cpu: 500m
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              memory: 500Mi
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      hostNetwork: true
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      dnsPolicy: ClusterFirstWithHostNet
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      volumes:
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        - name: varlog
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          hostPath:
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            path: /var/log
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        - name: varlibdockercontainers
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          hostPath:
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            path: /var/lib/docker/containers
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        - name: fluentbit-config
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          configMap:
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            name: fluentbit-config
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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:
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[ info] [filter:kubernetes:kubernetes.0] testing connectivity with Kubelet...
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And if you are in debug mode, you could see more:
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[debug] [filter:kubernetes:kubernetes.0] Send out request to Kubelet for pods information.
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[debug] [filter:kubernetes:kubernetes.0] Request (ns=<namespace>, pod=node name) http_do=0, HTTP Status: 200
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[ info] [filter:kubernetes:kubernetes.0] connectivity OK
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[2021/02/05 10:33:35] [debug] [filter:kubernetes:kubernetes.0] Request (ns=<Namespace>, pod=<podName>) http_do=0, HTTP Status: 200
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[2021/02/05 10:33:35] [debug] [filter:kubernetes:kubernetes.0] kubelet find pod: <podName> and ns: <Namespace> match
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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.
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[2020/10/15 03:48:57] [ info] [filter_kube] testing connectivity with API server...
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[2020/10/15 03:48:57] [error] [filter_kube] upstream connection error
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[2020/10/15 03:48:57] [ warn] [filter_kube] could not get meta for POD
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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)
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kubectl auth can-i list pods --as=system:serviceaccount:fluentbit-system:fluentbit
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If set roles are configured correctly, it should simply respond with yes.
For instance, using Azure AKS, running the above command may respond with:
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no - Azure does not have opinion for this user.
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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:
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- apiGroup: rbac.authorization.k8s.io
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  kind: Group
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  name: system:serviceaccounts
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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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Contents
Configuration Parameters
Processing the 'log' value
Kubernetes Annotations
Annotation Examples in Pod definition
Workflow of Tail + Kubernetes Filter
Optional Feature: Using Kubelet to Get Metadata
Configuration Setup
Verify that the Use_Kubelet option is working
Troubleshooting
I can't see metadata appended to my pod or other Kubernetes objects
I can't see new objects getting metadata