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Hints annotations based autodiscover

Serverless Beta

Elastic Cloud Serverless projects are autoscaled environments, fully managed by Elastic and available on Elastic Cloud.

Availability

  • Beta

    This functionality is in beta and is not ready for production usage. For beta features, the design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features. Specific Support terms apply.

Serverless interfaces and procedures might differ from classic Elastic Stack deployments.

Stack Beta

The Elastic Stack includes Elastic's core products such as Elasticsearch, Kibana, Logstash, and Beats.

Availability

  • Beta

    This functionality is in beta and is not ready for production usage. For beta features, the design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features. Specific Support terms apply.

Unless stated otherwise on the page, this functionality is available when your Elastic Stack is deployed on Elastic Cloud Hosted, Elastic Cloud Enterprise, Elastic Cloud on Kubernetes, and self-managed environments.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

Warning

This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.

Note

Make sure you are using Elastic Agent 8.5+.

Note

Hints autodiscovery only works with Elastic Agent Standalone.

Standalone Elastic Agent supports autodiscover based on hints from the provider. The hints mechanism looks for hints in Kubernetes Pod annotations that have the prefix co.elastic.hints. As soon as the container starts, Elastic Agent checks it for hints and launches the proper configuration for the container. Hints tell Elastic Agent how to monitor the container by using the proper integration. This is the full list of supported hints:

The package to use for monitoring.

The host to use for metrics retrieval. If not defined, the host will be set as the default one: <pod-ip>:<container-port>.

The list of data streams to enable. If not specified, the integration’s default data streams are used. To find the defaults, refer to the Elastic integrations documentation.

If data streams are specified, additional hints can be defined per data stream. For example, co.elastic.hints/info.period: 5m if the data stream specified is info for the Redis module.

YAML
apiVersion: v1
kind: Pod
metadata:
  name: redis
  annotations:
    co.elastic.hints/package: redis
    co.elastic.hints/data_streams: info
    co.elastic.hints/info.period: 5m

If data stream hints are not specified, the top level hints will be used in its configuration.

The path to retrieve the metrics from.

The time interval for metrics retrieval, for example, 10s.

Metrics retrieval timeout, for example, 3s.

The username to use for authentication.

The password to use for authentication. It is recommended to retrieve this sensitive information from an ENV variable and avoid placing passwords in plain text.

The stream to use for logs collection, for example, stdout/stderr.

If the specified package has no logs support, a generic container’s logs input will be used as a fallback. See the Hints autodiscovery for kubernetes log collection example below.

Define a processor to be added to the input configuration. See Define processors for the list of supported processors.

If the processors configuration uses list data structure, object fields must be enumerated. For example, hints for the rename processor configuration below

YAML
processors:
  - rename:
      fields:
        - from: "a.g"
          to: "e.d"
      fail_on_error: true

will look like:

YAML
co.elastic.hints/processors.rename.fields.0.from: "a.g"
co.elastic.hints/processors.rename.fields.0.to: "e.d"
co.elastic.hints/processors.rename.fail_on_error: 'true'

If the processors configuration uses map data structure, enumeration is not needed. For example, the equivalent to the add_fields configuration below

YAML
processors:
  - add_fields:
      target: project
      fields:
        name: myproject

is

YAML
co.elastic.hints/processors.1.add_fields.target: "project"
co.elastic.hints/processors.1.add_fields.fields.name: "myproject"

In order to provide ordering of the processor definition, numbers can be provided. If not, the hints builder will do arbitrary ordering:

YAML
co.elastic.hints/processors.1.dissect.tokenizer: "%{key1} %{key2}"
co.elastic.hints/processors.dissect.tokenizer: "%{key2} %{key1}"

In the above sample the processor definition tagged with 1 would be executed first.

Important

Processor configuration is not supported on the data stream level, so annotations like co.elastic.hints/<datastream>.processors are ignored.

When a pod has multiple containers, the settings are shared unless you put the container name in the hint. For example, these hints configure processors.decode_json_fields for all containers in the pod, but set a specific stream hint for the container called sidecar.

YAML
annotations:
  co.elastic.hints/processors.decode_json_fields.fields: "message"
  co.elastic.hints/processors.decode_json_fields.add_error_key: true
  co.elastic.hints/processors.decode_json_fields.overwrite_keys: true
  co.elastic.hints/processors.decode_json_fields.target: "team"
  co.elastic.hints.sidecar/stream: "stderr"

The available packages that are supported through hints can be found here.

To enable hints autodiscovery, you must add hints.enabled: true to the provider’s configuration:

YAML
providers:
  kubernetes:
    hints.enabled: true

Then ensure that an init container is specified by uncommenting the respective sections in the Elastic Agent manifest. An init container is required to download the hints templates.

YAML
initContainers:
- name: k8s-templates-downloader
  image: docker.elastic.co/elastic-agent/elastic-agent:9.5.6
  command: ['bash']
  args:
    - -c
    - >-
      mkdir -p /usr/share/elastic-agent/state/inputs.d &&
      curl -sL https://github.com/elastic/elastic-agent/archive/main.tar.gz | tar xz -C /usr/share/elastic-agent/state/inputs.d --strip-components=5 "elastic-agent-main/deploy/kubernetes/elastic-agent-standalone/templates.d"
  securityContext:
    runAsUser: 0
  volumeMounts:
    - name: elastic-agent-state
      mountPath: /usr/share/elastic-agent/state
  1. If you are integrating this init container into Elastic Cloud on Kubernetes managed resources, verify the volume name defined at the Pod spec, which is typically agent-data rather than elastic-agent-state.
Note

The Elastic Agent can load multiple configuration files from {path.config}/inputs.d and finally produce a unified one (refer to Configure standalone Elastic Agents). Users have the ability to manually mount their own templates under /usr/share/elastic-agent/state/inputs.d if they want to skip enabling initContainers section.

Enabling hints allows users deploying Pods on the cluster to automatically turn on Elastic monitoring at Pod deployment time. For example, to deploy a Redis Pod on the cluster and automatically enable Elastic monitoring, add the proper hints as annotations on the Pod manifest file:

YAML
...
apiVersion: v1
kind: Pod
metadata:
  name: redis
  annotations:
    co.elastic.hints/package: redis
    co.elastic.hints/data_streams: info
    co.elastic.hints/host: '${kubernetes.pod.ip}:6379'
    co.elastic.hints/info.period: 5s
  labels:
    k8s-app: redis
    app: redis
...

After deploying this Pod, the data will start flowing in automatically. You can find it on the index metrics-redis.info-default.

Note

All assets (dashboards, ingest pipelines, and so on) related to the Redis integration are not installed. You need to explicitly install them through Kibana.

The log collection for Kubernetes autodiscovered pods can be supported by using container_logs.yml template. Elastic Agent needs to emit a container_logs mapping so as to start collecting logs for all the discovered containers even if no annotations are present in the containers.

  1. Follow steps described above to enable Hints Autodiscover
  2. Make sure that relevant container_logs.yml template will be mounted under /usr/share/elastic-agent/state/inputs.d/ folder of Elastic Agent
  3. Deploy Elastic Agent Manifest
  4. Elastic Agent should be able to discover all containers inside a Kubernetes cluster and collect available logs.

The previous default behavior can be disabled with hints.default_container_logs: false. So this will disable the automatic logs collection from all discovered pods. Users need specifically to annotate their pod with following annotations:

YAML
annotations:
  co.elastic.hints/package: "container_logs"
YAML
providers.kubernetes:
  node: ${NODE_NAME}
  scope: node
  hints:
    enabled: true
    default_container_logs: false
...

In the following sample nginx manifest, we will additionally provide specific stream annotation, in order to configure the filestream input to read only stderr stream:

YAML
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: nginx
  name: nginx
  namespace: default
spec:
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
      annotations:
        co.elastic.hints/package: "container_logs"
        co.elastic.hints/stream: "stderr"
    spec:
      containers:
      - image: nginx
        name: nginx
...

Users can monitor the final rendered Elastic Agent configuration:

Shell
kubectl exec -ti -n kube-system elastic-agent-7fkzm -- bash


/usr/share/elastic-agent# /elastic-agent inspect -v --variables --variables-wait 2s

inputs:
- data_stream.namespace: default
  id: hints-container-logs-3f69573a1af05c475857c1d0f98fc55aa01b5650f146d61e9653a966cd50bd9c-kubernetes-1780aca0-3741-4c8c-aced-b9776ba3fa81.nginx
  name: filestream-generic
  original_id: hints-container-logs-3f69573a1af05c475857c1d0f98fc55aa01b5650f146d61e9653a966cd50bd9c
  [output truncated ....]
  streams:
  - data_stream:
      dataset: kubernetes.container_logs
      type: logs
    exclude_files: []
    exclude_lines: []
    parsers:
    - container:
        format: auto
        stream: stderr
    paths:
    - /var/log/containers/*3f69573a1af05c475857c1d0f98fc55aa01b5650f146d61e9653a966cd50bd9c.log
    prospector:
      scanner:
        symlinks: true
    tags: []
  type: filestream
  use_output: default
outputs:
  default:
    hosts:
    - https://elasticsearch:9200
    password: changeme
    type: elasticsearch
    username: elastic
providers:
  kubernetes:
    hints:
      default_container_logs: false
      enabled: true
    node: control-plane
    scope: node

Based on the previous example, users might want to perform extra processing on specific logs, for example to decode specific fields containing JSON strings. Use of decode_json_fields is advisable as follows:

You need to have enabled hints autodiscovery, as described in the previous Hints autodiscovery for Kubernetes log collection example.

The pod that will produce JSON logs needs to be annotated with:

YAML
annotations:
       co.elastic.hints/package: "container_logs"
       co.elastic.hints/processors.decode_json_fields.fields: "message"
       co.elastic.hints/processors.decode_json_fields.add_error_key: 'true'
       co.elastic.hints/processors.decode_json_fields.overwrite_keys: 'true'
       co.elastic.hints/processors.decode_json_fields.target: "team"
Note

These parameters for the decode_json_fields processor are just an example.

The following log entry:

JSON
{"myteam": "ole"}

Will produce both fields: the original message field and also the target field team.

JSON
"team": {
      "myteam": "ole"
    },

"message": "{\"myteam\": \"ole\"}",

When things do not work as expected, you may need to troubleshoot your setup. Here we provide some directions to speed up your investigation:

  1. Exec inside an Agent’s Pod and run the inspect command to verify how inputs are constructed dynamically:

    Shell
    ./elastic-agent inspect --variables --variables-wait 1s -c /etc/elastic-agent/agent.yml
    

    Specifically, examine how the inputs are being populated.

  2. View the Elastic Agent logs:

    Shell
    tail -f /etc/elastic-agent/data/logs/elastic-agent-*.ndjson
    

    Verify that the hints feature is enabled in the config and look for hints-related logs like: "Generated hints mappings are …" In these logs, you can find the mappings that are extracted out of the annotations and determine if the values can populate a specific input.

  3. View the Metricbeat logs:

    Shell
    tail -f /etc/elastic-agent/data/logs/default/metricbeat-*.ndjson
    
  4. View the Filebeat logs:

    Shell
    tail -f /etc/elastic-agent/data/logs/default/filebeat-*.ndjson
    
  5. View the target input template. For the Redis example:

    Shell
    cat /usr/share/elastic-agent/state/inputs.d/redis.yml