Using an OpenSearch Ingestion pipeline with Fluent Bit - Amazon OpenSearch Service

Using an OpenSearch Ingestion pipeline with Fluent Bit

This sample Fluent Bit configuration file sends log data from Fluent Bit to an OpenSearch Ingestion pipeline. For more information about ingesting log data, see Log Analytics in the Data Prepper documentation.

Note the following:

  • The host value must be your pipeline endpoint. For example, pipeline-endpoint.us-east-1osis.amazonaws.com.

  • The aws_service value must be osis.

  • The aws_role_arn value is the ARN of the AWS IAM role for the client to assume and use for Signature Version 4 authentication.

[INPUT]
  name                  tail
  refresh_interval      5
  path                  /var/log/test.log
  read_from_head        true

[OUTPUT]
  Name http 
  Match *
  Host pipeline-endpoint.us-east-1osis.amazonaws.com
  Port 443
  URI /log/ingest
  Format json
  aws_auth true
  aws_region region
  aws_service osis
  aws_role_arn arn:aws:iam::account-id:role/ingestion-role
  Log_Level trace
  tls On

You can then configure an OpenSearch Ingestion pipeline like the following, which has HTTP as the source:

version: "2"
unaggregated-log-pipeline:
  source:
    http:
      path: "/log/ingest"
  processor:
    - grok:
        match:
          log:
            - "%{TIMESTAMP_ISO8601:timestamp} %{NOTSPACE:network_node} %{NOTSPACE:network_host} %{IPORHOST:source_ip}:%{NUMBER:source_port:int} -> %{IPORHOST:destination_ip}:%{NUMBER:destination_port:int} %{GREEDYDATA:details}"
    - grok:
        match:
          details:
            - "'%{NOTSPACE:http_method} %{NOTSPACE:http_uri}' %{NOTSPACE:protocol}"
            - "TLS%{NOTSPACE:tls_version} %{GREEDYDATA:encryption}"
            - "%{NUMBER:status_code:int} %{NUMBER:response_size:int}"
    - delete_entries:
        with_keys: ["details", "log"]

  sink:
    - opensearch:
        hosts: ["https://search-domain-endpoint.us-east-1es.amazonaws.com"]
        index: "index_name"
        index_type: custom
        bulk_size: 20
        aws:
          region: "region"