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Get started with ECS Logging Ruby

Add this line to your application’s Gemfile:

gem 'ecs-logging'

Execute with:

bundle install

Alternatively, you can install the package yourself with:

gem install ecs-logging

Ecs::Logger is a subclass of Ruby’s own Logger and responds to the same methods.

For example:

require 'ecs_logging/logger'

logger = EcsLogging::Logger.new($stdout)
logger.info('my informative message')
logger.warn { 'be aware that…' }
logger.error('a_progname') { 'oh no!' }

Logs the following JSON to $stdout:

{"@timestamp":"2020-11-24T13:32:21.329Z","log.level":"INFO","message":"very informative","ecs.version":"1.4.0"}
 {"@timestamp":"2020-11-24T13:32:21.330Z","log.level":"WARN","message":"be aware that…","ecs.version":"1.4.0"}
 {"@timestamp":"2020-11-24T13:32:21.331Z","log.level":"ERROR","message":"oh no!","ecs.version":"1.4.0","process.title":"a_progname"}

Additionally, it allows for adding additional keys to messages.

For example:

logger.info('ok', labels: { my_label: 'value' }, 'trace.id': 'abc-xyz')

Logs the following:

{
  "@timestamp":"2020-11-24T13:32:21.331Z",
  "log.level":"INFO",
  "message":"oh no!",
  "ecs.version":"1.4.0",
  "labels":{"my_label":"value"},
  "trace.id":"abc-xyz"
}

To include info about where the log was called, call the methods with include_origin: true, like logger.warn('Hello!', include_origin: true). This logs:

{
  "@timestamp":"2020-11-24T13:32:21.331Z",
  "log.level":"WARN",
  "message":"Hello!",
  "ecs.version":"1.4.0",
  "log.origin": {
    "file.line": 123,
    "file.name": "my_file.rb",
    "function": "call"
  }
}
use EcsLogging::Middleware, $stdout

Example output:

{
  "@timestamp":"2020-12-07T13:44:04.568Z",
  "log.level":"INFO",
  "message":"GET /",
  "ecs.version":"1.4.0",
  "client":{
    "address":"127.0.0.1"
  },
  "http":{
    "request":{
      "method":"GET",
      "body.bytes":"0"
    }
  },
  "url":{
    "domain":"example.org",
    "path":"/",
    "port":"80",
    "scheme":"http"
  }
}

If you are using the Elastic APM Ruby agent, enable log correlation.

  1. Follow the Filebeat quick start
  2. Add the following configuration to your filebeat.yaml file.

For Filebeat 7.16+

filebeat.inputs:
- type: filestream 1
  paths: /path/to/logs.json
  parsers:
    - ndjson:
      overwrite_keys: true 2
      add_error_key: true 3
      expand_keys: true 4

processors: 5
  - add_host_metadata: ~
  - add_cloud_metadata: ~
  - add_docker_metadata: ~
  - add_kubernetes_metadata: ~
  1. Use the filestream input to read lines from active log files.
  2. Values from the decoded JSON object overwrite the fields that Filebeat normally adds (type, source, offset, etc.) in case of conflicts.
  3. Filebeat adds an "error.message" and "error.type: json" key in case of JSON unmarshalling errors.
  4. Filebeat will recursively de-dot keys in the decoded JSON, and expand them into a hierarchical object structure.
  5. Processors enhance your data. See processors to learn more.

For Filebeat < 7.16

filebeat.inputs:
- type: log
  paths: /path/to/logs.json
  json.keys_under_root: true
  json.overwrite_keys: true
  json.add_error_key: true
  json.expand_keys: true

processors:
- add_host_metadata: ~
- add_cloud_metadata: ~
- add_docker_metadata: ~
- add_kubernetes_metadata: ~
  1. Make sure your application logs to stdout/stderr.
  2. Follow the Run Filebeat on Kubernetes guide.
  3. Enable hints-based autodiscover (uncomment the corresponding section in filebeat-kubernetes.yaml).
  4. Add these annotations to your pods that log using ECS loggers. This will make sure the logs are parsed appropriately.
annotations:
  co.elastic.logs/json.overwrite_keys: true 1
  co.elastic.logs/json.add_error_key: true 2
  co.elastic.logs/json.expand_keys: true 3
  1. Values from the decoded JSON object overwrite the fields that Filebeat normally adds (type, source, offset, etc.) in case of conflicts.
  2. Filebeat adds an "error.message" and "error.type: json" key in case of JSON unmarshalling errors.
  3. Filebeat will recursively de-dot keys in the decoded JSON, and expand them into a hierarchical object structure.
  1. Make sure your application logs to stdout/stderr.
  2. Follow the Run Filebeat on Docker guide.
  3. Enable hints-based autodiscover.
  4. Add these labels to your containers that log using ECS loggers. This will make sure the logs are parsed appropriately.
labels:
  co.elastic.logs/json.overwrite_keys: true 1
  co.elastic.logs/json.add_error_key: true 2
  co.elastic.logs/json.expand_keys: true 3
  1. Values from the decoded JSON object overwrite the fields that Filebeat normally adds (type, source, offset, etc.) in case of conflicts.
  2. Filebeat adds an "error.message" and "error.type: json" key in case of JSON unmarshalling errors.
  3. Filebeat will recursively de-dot keys in the decoded JSON, and expand them into a hierarchical object structure.

For more information, see the Filebeat reference.