k8sattributesprocessor

README

Kubernetes Attributes Processor

Status
Stability	beta: logs, metrics, traces
Distributions	contrib
Issues
Code Owners	@dmitryax, @rmfitzpatrick, @fatsheep9146, @TylerHelmuth

Kubernetes attributes processor allow automatic setting of spans, metrics and logs resource attributes with k8s metadata.

The processor automatically discovers k8s resources (pods), extracts metadata from them and adds the extracted metadata to the relevant spans, metrics and logs as resource attributes. The processor uses the kubernetes API to discover all pods running in a cluster, keeps a record of their IP addresses, pod UIDs and interesting metadata. The rules for associating the data passing through the processor (spans, metrics and logs) with specific Pod Metadata are configured via "pod_association" key. It represents a list of associations that are executed in the specified order until the first one is able to do the match.

Configuration

The processor stores the list of running pods and the associated metadata. When it sees a datapoint (log, trace or metric), it will try to associate the datapoint to the pod from where the datapoint originated, so we can add the relevant pod metadata to the datapoint. By default, it associates the incoming connection IP to the Pod IP. But for cases where this approach doesn't work (sending through a proxy, etc.), a custom association rule can be specified.

Each association is specified as a list of sources of associations. The maximum number of sources within an association is 4. A source is a rule that matches metadata from the datapoint to pod metadata. In order to get an association applied, all the sources specified need to match.

Each sources rule is specified as a pair of from (representing the rule type) and name (representing the attribute name if from is set to resource_attribute). The following rule types are available:

• connection: Takes the IP attribute from connection context (if available). In this case the processor must appear before any batching or tail sampling, which remove this information.
• resource_attribute: Allows specifying the attribute name to lookup in the list of attributes of the received Resource. Semantic convention should be used for naming.

Example for a pod association configuration:

pod_association:
  # below association takes a look at the datapoint's k8s.pod.ip resource attribute and tries to match it with
  # the pod having the same attribute.
  - sources:
      - from: resource_attribute
        name: k8s.pod.ip
  # below association matches for pair `k8s.pod.name` and `k8s.namespace.name`
  - sources:
      - from: resource_attribute
        name: k8s.pod.name
      - from: resource_attribute
        name: k8s.namespace.name

If Pod association rules are not configured, resources are associated with metadata only by connection's IP Address.

Which metadata to collect is determined by metadata configuration that defines list of resource attributes to be added. Items in the list called exactly the same as the resource attributes that will be added. The following attributes are added by default:

• k8s.namespace.name
• k8s.pod.name
• k8s.pod.uid
• k8s.pod.start_time
• k8s.deployment.name
• k8s.node.name

These attributes are also available for the use within association rules by default. The metadata section can also be extended with additional attributes which, if present in the metadata section, are then also available for the use within association rules. Available attributes are:

• k8s.namespace.name
• k8s.pod.name
• k8s.pod.hostname
• k8s.pod.ip
• k8s.pod.start_time
• k8s.pod.uid
• k8s.replicaset.uid
• k8s.replicaset.name
• k8s.deployment.uid
• k8s.deployment.name
• k8s.daemonset.uid
• k8s.daemonset.name
• k8s.statefulset.uid
• k8s.statefulset.name
• k8s.cronjob.uid
• k8s.cronjob.name
• k8s.job.uid
• k8s.job.name
• k8s.node.name
• k8s.cluster.uid
• Any tags extracted from the pod labels and annotations, as described in extracting attributes from pod labels and annotations

Not all the attributes are guaranteed to be added. Only attribute names from metadata should be used for pod_association's resource_attribute, because empty or non-existing values will be ignored.

Additional container level attributes can be extracted provided that certain resource attributes are provided:

1. If the container.id resource attribute is provided, the following additional attributes will be available:
   • k8s.container.name
   • container.image.name
   • container.image.tag
   • container.image.repo_digests (if k8s CRI populates repository digest field)
2. If the k8s.container.name resource attribute is provided, the following additional attributes will be available:
   • container.image.name
   • container.image.tag
   • container.image.repo_digests (if k8s CRI populates repository digest field)
3. If the k8s.container.restart_count resource attribute is provided, it can be used to associate with a particular container instance. If it's not set, the latest container instance will be used:
   • container.id (not added by default, has to be specified in metadata)

Please note, however, that container level attributes can't be used for source rules in the pod_association.

Example for extracting container level attributes:

pod_association:
- sources:
    - from: connection
extract:
  metadata:
  - k8s.pod.name
  - k8s.pod.uid
  - container.image.name
  - container.image.tag
  - k8s.container.name

The previous configuration attaches the attributes listed in the metadata section to all resources received by a matching pod with the k8s.container.name attribute being present. For example, when the following trace

{
  "name": "lets-go",
  "context": {
    "trace_id": "0x5b8aa5a2d2c872e8321cf37308d69df2",
    "span_id": "0x051581bf3cb55c13"
  },
  "parent_id": null,
  "start_time": "2022-04-29T18:52:58.114201Z",
  "end_time": "2022-04-29T18:52:58.114687Z",
  "attributes": {
    "k8s.container.name": "telemetrygen"
  }
}

is sent to the collector by the following pod,

apiVersion: v1
kind: Pod
metadata:
  annotations:
    workload: deployment
  name: telemetrygen-pod
  namespace: e2ek8senrichment
  uid: 038e2267-b473-489b-b48c-46bafdb852eb
spec:
  containers:
  - command:
    - /telemetrygen
    - traces
    - --otlp-insecure
    - --otlp-endpoint=otelcollector.svc.cluster.local:4317
    - --duration=10s
    - --rate=1
    - --otlp-attributes=k8s.container.name="telemetrygen"
    image: ghcr.io/open-telemetry/opentelemetry-collector-contrib/telemetrygen:latest
    name: telemetrygen
status:
  podIP: 10.244.0.11

the processor associates the received trace to the pod, based on the connection IP, and add those attributes to the resulting span:

{
  "name": "lets-go",
  "context": {
    "trace_id": "0x5b8aa5a2d2c872e8321cf37308d69df2",
    "span_id": "0x051581bf3cb55c13"
  },
  "parent_id": null,
  "start_time": "2022-04-29T18:52:58.114201Z",
  "end_time": "2022-04-29T18:52:58.114687Z",
  "attributes": {
    "k8s.container.name": "telemetrygen",
    "k8s.pod.name": "telemetrygen-pod",
    "k8s.pod.uid": "038e2267-b473-489b-b48c-46bafdb852eb",
    "container.image.name": "telemetrygen",
    "container.image.tag": "latest"
  }
}

Extracting attributes from pod labels and annotations

The k8sattributesprocessor can also set resource attributes from k8s labels and annotations of pods, namespaces and nodes. The config for associating the data passing through the processor (spans, metrics and logs) with specific Pod/Namespace/Node annotations/labels is configured via "annotations" and "labels" keys. This config represents a list of annotations/labels that are extracted from pods/namespaces/nodes and added to spans, metrics and logs. Each item is specified as a config of tag_name (representing the tag name to tag the spans with), key (representing the key used to extract value) and from (representing the kubernetes object used to extract the value). The "from" field has only three possible values "pod", "namespace" and "node" and defaults to "pod" if none is specified.

A few examples to use this config are as follows:

extract:
  annotations:
    - tag_name: a1 # extracts value of annotation from pods with key `annotation-one` and inserts it as a tag with key `a1`
      key: annotation-one
      from: pod
    - tag_name: a2 # extracts value of annotation from namespaces with key `annotation-two` with regexp and inserts it as a tag with key `a2`
      key: annotation-two
      regex: field=(?P<value>.+)
      from: namespace
    - tag_name: a3 # extracts value of annotation from nodes with key `annotation-three` with regexp and inserts it as a tag with key `a3`
      key: annotation-three
      regex: field=(?P<value>.+)
      from: node
  labels:
    - tag_name: l1 # extracts value of label from namespaces with key `label1` and inserts it as a tag with key `l1`
      key: label1
      from: namespace
    - tag_name: l2 # extracts value of label from pods with key `label2` with regexp and inserts it as a tag with key `l2`
      key: label2
      regex: field=(?P<value>.+)
      from: pod
    - tag_name: l3 # extracts value of label from nodes with key `label3` and inserts it as a tag with key `l3`
      key: label3
      from: node

Config example

k8sattributes:
k8sattributes/2:
  auth_type: "serviceAccount"
  passthrough: false
  filter:
    # only retrieve pods running on the same node as the collector
    node_from_env_var: KUBE_NODE_NAME
  extract:
    # The attributes provided in 'metadata' will be added to associated resources
    metadata:
      - k8s.pod.name
      - k8s.pod.uid
      - k8s.deployment.name
      - k8s.namespace.name
      - k8s.node.name
      - k8s.pod.start_time
    labels:
     # This label extraction rule takes the value 'app.kubernetes.io/component' label and maps it to the 'app.label.component' attribute which will be added to the associated resources
     - tag_name: app.label.component
       key: app.kubernetes.io/component
       from: pod
  pod_association:
    - sources:
        # This rule associates all resources containing the 'k8s.pod.ip' attribute with the matching pods. If this attribute is not present in the resource, this rule will not be able to find the matching pod.
        - from: resource_attribute
          name: k8s.pod.ip
    - sources:
        # This rule associates all resources containing the 'k8s.pod.uid' attribute with the matching pods. If this attribute is not present in the resource, this rule will not be able to find the matching pod.
        - from: resource_attribute
          name: k8s.pod.uid
    - sources:
        # This rule will use the IP from the incoming connection from which the resource is received, and find the matching pod, based on the 'pod.status.podIP' of the observed pods
        - from: connection

Role-based access control

Cluster-scoped RBAC

If you'd like to set up the k8sattributesprocessor to receive telemetry from across namespaces, it will need get, watch and list permissions on both pods and namespaces resources, for all namespaces and pods included in the configured filters. Additionally, when using k8s.deployment.name (which is enabled by default) or k8s.deployment.uid the processor also needs get, watch and list permissions for replicasets resources. When using k8s.node.uid or extracting metadata from node, the processor needs get, watch and list permissions for nodes resources.

Here is an example of a ClusterRole to give a ServiceAccount the necessary permissions for all pods, nodes, and namespaces in the cluster (replace <OTEL_COL_NAMESPACE> with a namespace where collector is deployed):

apiVersion: v1
kind: ServiceAccount
metadata:
  name: collector
  namespace: <OTEL_COL_NAMESPACE>
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: otel-collector
rules:
- apiGroups: [""]
  resources: ["pods", "namespaces", "nodes"]
  verbs: ["get", "watch", "list"]
- apiGroups: ["apps"]
  resources: ["replicasets"]
  verbs: ["get", "list", "watch"]
- apiGroups: ["extensions"]
  resources: ["replicasets"]
  verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: otel-collector
subjects:
- kind: ServiceAccount
  name: collector
  namespace: <OTEL_COL_NAMESPACE>
roleRef:
  kind: ClusterRole
  name: otel-collector
  apiGroup: rbac.authorization.k8s.io

Namespace-scoped RBAC

When running the k8sattributesprocessor to receive telemetry traffic from pods in a specific namespace, you can use a k8s Role and Rolebinding to provide collector access to query pods and replicasets in the namespace. This would require setting the filter::namespace config as shown below.

k8sattributes:
  filter:
    namespace: <WORKLOAD_NAMESPACE>

With the namespace filter set, the processor will only look up pods and replicasets in the selected namespace. Note that with just a role binding, the processor can not query metadata such as labels and annotations from k8s nodes and namespaces which are cluster-scoped objects. This also means that the processor can not set the value for k8s.cluster.uid attribute if enabled, since the k8s.cluster.uid attribute is set to the uid of the namespace kube-system which is not queryable with namespaced rbac.

Example Role and RoleBinding to create in the namespace being watched.

apiVersion: v1
kind: ServiceAccount
metadata:
  name: otel-collector
  namespace: <OTEL_COL_NAMESPACE>
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: otel-collector
  namespace: <WORKLOAD_NAMESPACE>
rules:
- apiGroups: [""]
  resources: ["pods"]
  verbs: ["get", "watch", "list"]
- apiGroups: ["apps"]
  resources: ["replicasets"]
  verbs: ["get", "list", "watch"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: otel-collector
  namespace: <WORKLOAD_NAMESPACE>
subjects:
- kind: ServiceAccount
  name: otel-collector
  namespace: <OTEL_COL_NAMESPACE>
roleRef:
  kind: Role
  name: otel-collector
  apiGroup: rbac.authorization.k8s.io

Deployment scenarios

The processor can be used in collectors deployed both as an agent (Kubernetes DaemonSet) or as a gateway (Kubernetes Deployment).

As an agent

When running as an agent, the processor detects IP addresses of pods sending spans, metrics or logs to the agent and uses this information to extract metadata from pods. When running as an agent, it is important to apply a discovery filter so that the processor only discovers pods from the same host that it is running on. Not using such a filter can result in unnecessary resource usage especially on very large clusters. Once the filter is applied, each processor will only query the k8s API for pods running on it's own node.

Node filter can be applied by setting the filter.node config option to the name of a k8s node. While this works as expected, it cannot be used to automatically filter pods by the same node that the processor is running on in most cases as it is not know before hand which node a pod will be scheduled on. Luckily, kubernetes has a solution for this called the downward API. To automatically filter pods by the node the processor is running on, you'll need to complete the following steps:

1. Use the downward API to inject the node name as an environment variable. Add the following snippet under the pod env section of the OpenTelemetry container.

spec:
  containers:
  - env:
    - name: KUBE_NODE_NAME
      valueFrom:
        fieldRef:
          apiVersion: v1
          fieldPath: spec.nodeName

This will inject a new environment variable to the OpenTelemetry container with the value as the name of the node the pod was scheduled to run on.

1. Set "filter.node_from_env_var" to the name of the environment variable holding the node name.

k8sattributes:
  filter:
    node_from_env_var: KUBE_NODE_NAME # this should be same as the var name used in previous step

This will restrict each OpenTelemetry agent to query pods running on the same node only dramatically reducing resource requirements for very large clusters.

As a gateway

When running as a gateway, the processor cannot correctly detect the IP address of the pods generating the telemetry data without any of the well-known IP attributes, when it receives them from an agent instead of receiving them directly from the pods. To workaround this issue, agents deployed with the k8sattributes processor can be configured to detect the IP addresses and forward them along with the telemetry data resources. Collector can then match this IP address with k8s pods and enrich the records with the metadata. In order to set this up, you'll need to complete the following steps:

1. Setup agents in passthrough mode Configure the agents' k8sattributes processors to run in passthrough mode.

# k8sattributes config for agent
k8sattributes:
  passthrough: true

This will ensure that the agents detect the IP address as add it as an attribute to all telemetry resources. Agents will not make any k8s API calls, do any discovery of pods or extract any metadata.

1. Configure the collector as usual No special configuration changes are needed to be made on the collector. It'll automatically detect the IP address of spans, logs and metrics sent by the agents as well as directly by other services/pods.

Caveats

There are some edge-cases and scenarios where k8sattributes will not work properly.

Host networking mode

The processor cannot correct identify pods running in the host network mode and enriching telemetry data generated by such pods is not supported at the moment, unless the association rule is not based on IP attribute.

As a sidecar

The processor does not support detecting containers from the same pods when running as a sidecar. While this can be done, we think it is simpler to just use the kubernetes downward API to inject environment variables into the pods and directly use their values as tags.

Timestamp Format

By default, the k8s.pod.start_time uses Time.MarshalText() to format the timestamp value as an RFC3339 compliant timestamp.

Feature Gate

k8sattr.fieldExtractConfigRegex.disallow

The k8sattr.fieldExtractConfigRegex.disallow feature gate disallows the usage of the extract.annotations.regex and extract.labels.regex fields. The validation performed on the configuration will fail, if at least one of the parameters is set (non-empty) and k8sattr.fieldExtractConfigRegex.disallow is set to true (default false).

Example Usage

The following config with the feature gate set will lead to validation error:

config.yaml:

extract:
  labels:
    regex: <my-regex1>
  annotations:
    regex: <my-regex2>

Run collector: ./otelcol --config config.yaml --feature-gates=k8sattr.fieldExtractConfigRegex.disallow

Migration

Deprecation of the extract.annotations.regex and extract.labels.regex fields means that it is recommended to use the ExtractPatterns function from the transform processor instead. To convert your current configuration please check the ExtractPatterns function documentation. You should use the pattern parameter of ExtractPatterns instead of using the the extract.annotations.regex and extract.labels.regex fields.

Example

The following configuration of k8sattributes processor:

config.yaml:

annotations:
  - tag_name: a2 # extracts value of annotation with key `annotation2` with regexp and inserts it as a tag with key `a2`
    key: annotation2
    regex: field=(?P<value>.+)
    from: pod

can be converted with the usage of ExtractPatterns function:

  - set(cache["annotations"], ExtractPatterns(attributes["k8s.pod.annotations["annotation2"], "field=(?P<value>.+))")
  - set(k8s.pod.annotations["a2"], cache["annotations"]["value"])

Documentation

Index

• func NewFactory() processor.Factory
• type Config
  • func (cfg *Config) Validate() error
• type ExcludeConfig
• type ExcludePodConfig
• type ExtractConfig
• type FieldExtractConfig
• type FieldFilterConfig
• type FilterConfig
• type PodAssociationConfig
• type PodAssociationSourceConfig

Functions

func NewFactory

func NewFactory() processor.Factory

NewFactory returns a new factory for the k8s processor.

Types

type Config

type Config struct {
	k8sconfig.APIConfig `mapstructure:",squash"`

	// Passthrough mode only annotates resources with the pod IP and
	// does not try to extract any other metadata. It does not need
	// access to the K8S cluster API. Agent/Collector must receive spans
	// directly from services to be able to correctly detect the pod IPs.
	Passthrough bool `mapstructure:"passthrough"`

	// Extract section allows specifying extraction rules to extract
	// data from k8s pod specs
	Extract ExtractConfig `mapstructure:"extract"`

	// Filter section allows specifying filters to filter
	// pods by labels, fields, namespaces, nodes, etc.
	Filter FilterConfig `mapstructure:"filter"`

	// Association section allows to define rules for tagging spans, metrics,
	// and logs with Pod metadata.
	Association []PodAssociationConfig `mapstructure:"pod_association"`

	// Exclude section allows to define names of pod that should be
	// ignored while tagging.
	Exclude ExcludeConfig `mapstructure:"exclude"`
}

Config defines configuration for k8s attributes processor.

func (*Config) Validate

func (cfg *Config) Validate() error

type ExcludeConfig

type ExcludeConfig struct {
	Pods []ExcludePodConfig `mapstructure:"pods"`
}

ExcludeConfig represent a list of Pods to exclude

type ExcludePodConfig

type ExcludePodConfig struct {
	Name string `mapstructure:"name"`
}

ExcludePodConfig represent a Pod name to ignore

type ExtractConfig

type ExtractConfig struct {
	// Metadata allows to extract pod/namespace/node metadata from a list of metadata fields.
	// The field accepts a list of strings.
	//
	// Metadata fields supported right now are,
	//   k8s.pod.name, k8s.pod.uid, k8s.deployment.name,
	//   k8s.node.name, k8s.namespace.name, k8s.pod.start_time,
	//   k8s.replicaset.name, k8s.replicaset.uid,
	//   k8s.daemonset.name, k8s.daemonset.uid,
	//   k8s.job.name, k8s.job.uid, k8s.cronjob.name,
	//   k8s.statefulset.name, k8s.statefulset.uid,
	//   k8s.container.name, container.id, container.image.name,
	//   container.image.tag, container.image.repo_digests
	//   k8s.cluster.uid
	//
	// Specifying anything other than these values will result in an error.
	// By default, the following fields are extracted and added to spans, metrics and logs as resource attributes:
	//  - k8s.pod.name
	//  - k8s.pod.uid
	//  - k8s.pod.start_time
	//  - k8s.namespace.name
	//  - k8s.node.name
	//  - k8s.deployment.name (if the pod is controlled by a deployment)
	//  - k8s.container.name (requires an additional attribute to be set: container.id)
	//  - container.image.name (requires one of the following additional attributes to be set: container.id or k8s.container.name)
	//  - container.image.tag (requires one of the following additional attributes to be set: container.id or k8s.container.name)
	Metadata []string `mapstructure:"metadata"`

	// Annotations allows extracting data from pod annotations and record it
	// as resource attributes.
	// It is a list of FieldExtractConfig type. See FieldExtractConfig
	// documentation for more details.
	Annotations []FieldExtractConfig `mapstructure:"annotations"`

	// Labels allows extracting data from pod labels and record it
	// as resource attributes.
	// It is a list of FieldExtractConfig type. See FieldExtractConfig
	// documentation for more details.
	Labels []FieldExtractConfig `mapstructure:"labels"`
}

ExtractConfig section allows specifying extraction rules to extract data from k8s pod specs.

type FieldExtractConfig

type FieldExtractConfig struct {
	// TagName represents the name of the resource attribute that will be added to logs, metrics or spans.
	// When not specified, a default tag name will be used of the format:
	//   - k8s.pod.annotations.<annotation key>
	//   - k8s.pod.labels.<label key>
	// For example, if tag_name is not specified and the key is git_sha,
	// then the attribute name will be `k8s.pod.annotations.git_sha`.
	// When key_regex is present, tag_name supports back reference to both named capturing and positioned capturing.
	// For example, if your pod spec contains the following labels,
	//
	// app.kubernetes.io/component: mysql
	// app.kubernetes.io/version: 5.7.21
	//
	// and you'd like to add tags for all labels with prefix app.kubernetes.io/ and also trim the prefix,
	// then you can specify the following extraction rules:
	//
	// extract:
	//   labels:
	//     - tag_name: $$1
	//       key_regex: kubernetes.io/(.*)
	//
	// this will add the `component` and `version` tags to the spans or metrics.
	TagName string `mapstructure:"tag_name"`

	// Key represents the annotation (or label) name. This must exactly match an annotation (or label) name.
	Key string `mapstructure:"key"`
	// KeyRegex is a regular expression used to extract a Key that matches the regex.
	// Out of Key or KeyRegex, only one option is expected to be configured at a time.
	KeyRegex string `mapstructure:"key_regex"`

	// Regex is an optional field used to extract a sub-string from a complex field value.
	// The supplied regular expression must contain one named parameter with the string "value"
	// as the name. For example, if your pod spec contains the following annotation,
	//
	// kubernetes.io/change-cause: 2019-08-28T18:34:33Z APP_NAME=my-app GIT_SHA=58a1e39 CI_BUILD=4120
	//
	// and you'd like to extract the GIT_SHA and the CI_BUILD values as tags, then you must
	// specify the following two extraction rules:
	//
	// extract:
	//   annotations:
	//     - tag_name: git.sha
	//       key: kubernetes.io/change-cause
	//       regex: GIT_SHA=(?P<value>\w+)
	//     - tag_name: ci.build
	//       key: kubernetes.io/change-cause
	//       regex: JENKINS=(?P<value>[\w]+)
	//
	// this will add the `git.sha` and `ci.build` resource attributes.
	// Deprecated: [v0.106.0] Use the `ExtractPatterns` function in the transform processor instead.
	// More information about how to replace the regex field can be found in the k8sattributes processor readme.
	Regex string `mapstructure:"regex"`

	// From represents the source of the labels/annotations.
	// Allowed values are "pod", "namespace", and "node". The default is pod.
	From string `mapstructure:"from"`
}

FieldExtractConfig allows specifying an extraction rule to extract a resource attribute from pod (or namespace) annotations (or labels).

type FieldFilterConfig

type FieldFilterConfig struct {
	// Key represents the key or name of the field or labels that a filter
	// can apply on.
	Key string `mapstructure:"key"`

	// Value represents the value associated with the key that a filter
	// operation specified by the `Op` field applies on.
	Value string `mapstructure:"value"`

	// Op represents the filter operation to apply on the given
	// Key: Value pair. The following operations are supported
	//   equals, not-equals, exists, does-not-exist.
	Op string `mapstructure:"op"`
}

FieldFilterConfig allows specifying exactly one filter by a field. It can be used to represent a label or generic field filter.

type FilterConfig

type FilterConfig struct {
	// Node represents a k8s node or host. If specified, any pods not running
	// on the specified node will be ignored by the tagger.
	Node string `mapstructure:"node"`

	// NodeFromEnv can be used to extract the node name from an environment
	// variable. The value must be the name of the environment variable.
	// This is useful when the node a Otel agent will run on cannot be
	// predicted. In such cases, the Kubernetes downward API can be used to
	// add the node name to each pod as an environment variable. K8s tagger
	// can then read this value and filter pods by it.
	//
	// For example, node name can be passed to each agent with the downward API as follows
	//
	// env:
	//   - name: K8S_NODE_NAME
	//     valueFrom:
	//       fieldRef:
	//         fieldPath: spec.nodeName
	//
	// Then the NodeFromEnv field can be set to `K8S_NODE_NAME` to filter all pods by the node that
	// the agent is running on.
	//
	// More on downward API here: https://kubernetes.io/docs/tasks/inject-data-application/environment-variable-expose-pod-information/
	NodeFromEnvVar string `mapstructure:"node_from_env_var"`

	// Namespace filters all pods by the provided namespace. All other pods are ignored.
	Namespace string `mapstructure:"namespace"`

	// Fields allows to filter pods by generic k8s fields.
	// Only the following operations are supported:
	//    - equals
	//    - not-equals
	//
	// Check FieldFilterConfig for more details.
	Fields []FieldFilterConfig `mapstructure:"fields"`

	// Labels allows to filter pods by generic k8s pod labels.
	// Only the following operations are supported:
	//    - equals
	//    - not-equals
	//    - exists
	//    - not-exists
	//
	// Check FieldFilterConfig for more details.
	Labels []FieldFilterConfig `mapstructure:"labels"`
}

FilterConfig section allows specifying filters to filter pods by labels, fields, namespaces, nodes, etc.

type PodAssociationConfig

type PodAssociationConfig struct {
	// List of pod association sources which should be taken
	// to identify pod
	Sources []PodAssociationSourceConfig `mapstructure:"sources"`
}

PodAssociationConfig contain single rule how to associate Pod metadata with logs, spans and metrics

type PodAssociationSourceConfig

type PodAssociationSourceConfig struct {
	// From represents the source of the association.
	// Allowed values are "connection" and "resource_attribute".
	From string `mapstructure:"from"`

	// Name represents extracted key name.
	// e.g. ip, pod_uid, k8s.pod.ip
	Name string `mapstructure:"name"`
}