此内容没有您所选择的语言版本。

Chapter 4. OTLP data ingestion in Loki


You can use an API endpoint by using the OpenTelemetry Protocol (OTLP) with Logging. As OTLP is a standardized format not specifically designed for Loki, OTLP requires an additional Loki configuration to map data format of OpenTelemetry to data model of Loki. OTLP lacks concepts such as stream labels or structured metadata. Instead, OTLP provides metadata about log entries as attributes, grouped into the following three categories:

  • Resource
  • Scope
  • Log

You can set metadata for multiple entries simultaneously or individually as needed.

4.1. Configuring LokiStack for OTLP data ingestion

Important

The OpenTelemetry Protocol (OTLP) output log forwarder is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

To configure a LokiStack custom resource (CR) for OTLP ingestion, follow these steps:

Prerequisites

  • Ensure that your Loki setup supports structured metadata, introduced in schema version 13 to enable OTLP log ingestion.

Procedure

  1. Set the schema version:

    • When creating a new LokiStack CR, set version: v13 in the storage schema configuration.

      Note

      For existing configurations, add a new schema entry with version: v13 and an effectiveDate in the future. For more information on updating schema versions, see Upgrading Schemas (Grafana documentation).

  2. Configure the storage schema as follows:

    Example configure storage schema

    # ...
    spec:
      storage:
        schemas:
        - version: v13
          effectiveDate: 2024-10-25
    Copy to Clipboard Toggle word wrap

    Once the effectiveDate has passed, the v13 schema takes effect, enabling your LokiStack to store structured metadata.

4.2. Attribute mapping

When you set the Loki Operator to the openshift-logging mode, Loki Operator automatically applies a default set of attribute mappings. These mappings align specific OTLP attributes with stream labels and structured metadata of Loki.

For typical setups, these default mappings are sufficient. However, you might need to customize attribute mapping in the following cases:

  • Using a custom collector: If your setup includes a custom collector that generates additional attributes that you do not want to store, consider customizing the mapping to ensure these attributes are dropped by Loki.
  • Adjusting attribute detail levels: If the default attribute set is more detailed than necessary, you can reduce it to essential attributes only. This can avoid excessive data storage and streamline the logging process.

4.2.1. Custom attribute mapping for OpenShift

When using the Loki Operator in openshift-logging mode, attribute mapping follow OpenShift default values, but you can configure custom mappings to adjust default values. In the openshift-logging mode, you can configure custom attribute mappings globally for all tenants or for individual tenants as needed. When you define custom mappings, they are appended to the OpenShift default values. If you do not need default labels, you can disable them in the tenant configuration.

Note

A major difference between the Loki Operator and Loki lies in inheritance handling. Loki copies only default_resource_attributes_as_index_labels to tenants by default, while the Loki Operator applies the entire global configuration to each tenant in the openshift-logging mode.

Within LokiStack, attribute mapping configuration is managed through the limits setting. See the following example LokiStack configuration:

# ...
spec:
  limits:
    global:
      otlp: {} 
1

    tenants:
      application:
        otlp: {} 
2
Copy to Clipboard Toggle word wrap
1
Defines global OTLP attribute configuration.
2
Defines the OTLP attribute configuration for the application tenant within the openshift-logging mode. You can also configure infrastructure and audit tenants in addition to application tenants.
Note

You can use both global and per-tenant OTLP configurations for mapping attributes to stream labels.

Stream labels derive only from resource-level attributes, which the LokiStack resource structure reflects. See the following LokiStack example configuration:

spec:
  limits:
    global:
      otlp:
        streamLabels:
          resourceAttributes:
          - name: "k8s.namespace.name"
          - name: "k8s.pod.name"
          - name: "k8s.container.name"
Copy to Clipboard Toggle word wrap

You can drop attributes of type resource, scope, or log from the log entry.

# ...
spec:
  limits:
    global:
      otlp:
        streamLabels:
# ...
        drop:
          resourceAttributes:
          - name: "process.command_line"
          - name: "k8s\\.pod\\.labels\\..+"
            regex: true
          scopeAttributes:
          - name: "service.name"
          logAttributes:
          - name: "http.route"
Copy to Clipboard Toggle word wrap

You can use regular expressions by setting regex: true to apply a configuration for attributes with similar names.

Important

Avoid using regular expressions for stream labels, as this can increase data volume.

Attributes that are not explicitly set as stream labels or dropped from the entry are saved as structured metadata by default.

4.2.2. Customizing OpenShift defaults

In the openshift-logging mode, certain attributes are required and cannot be removed from the configuration due to their role in OpenShift functions. Other attributes, labeled recommended, might be dropped if performance is impacted. For information about the attributes, see OpenTelemetry data model attributes.

When using the openshift-logging mode without custom attributes, you can achieve immediate compatibility with OpenShift tools. If additional attributes are needed as stream labels or some attributes need to be dropped, use custom configuration. Custom configurations can merge with default configurations.

返回顶部
Red Hat logoGithubredditYoutubeTwitter

学习

尝试、购买和销售

社区

关于红帽文档

通过我们的产品和服务,以及可以信赖的内容,帮助红帽用户创新并实现他们的目标。 了解我们当前的更新.

让开源更具包容性

红帽致力于替换我们的代码、文档和 Web 属性中存在问题的语言。欲了解更多详情,请参阅红帽博客.

關於紅帽

我们提供强化的解决方案,使企业能够更轻松地跨平台和环境(从核心数据中心到网络边缘)工作。

Theme

© 2025 Red Hat