diff --git a/content/en/observability_pipelines/destinations/amazon_opensearch.md b/content/en/observability_pipelines/destinations/amazon_opensearch.md index 8b65c5941a6..24d06091a24 100644 --- a/content/en/observability_pipelines/destinations/amazon_opensearch.md +++ b/content/en/observability_pipelines/destinations/amazon_opensearch.md @@ -37,6 +37,7 @@ After you select the Amazon OpenSearch destination in the pipeline UI: - In the {{< ui >}}Type{{< /ui >}} field, enter the category of data being ingested, for example `logs`. - In the {{< ui >}}Dataset{{< /ui >}} field, specify the format or data source that describes the structure, for example `apache`. - In the {{< ui >}}Namespace{{< /ui >}} field, enter the grouping for organizing your data streams, for example `production`. + - You can use [template syntax][3] for the {{< ui >}}Type{{< /ui >}}, {{< ui >}}Dataset{{< /ui >}}, and {{< ui >}}Namespace{{< /ui >}} fields to dynamically construct the data stream name based on specific fields in your logs. - In the UI, there is a preview of the data stream name you configured. With the above example inputs, the data stream name that the Worker writes to is `logs-apache-production`. 1. Optionally, enter the name of the Amazon OpenSearch index. See [template syntax][3] if you want to route logs to different indexes based on specific fields in your logs. 1. Select an authentication strategy, {{< ui >}}Basic{{< /ui >}} or {{< ui >}}AWS{{< /ui >}}. If you selected: diff --git a/content/en/observability_pipelines/destinations/elasticsearch.md b/content/en/observability_pipelines/destinations/elasticsearch.md index 0c714b7e264..5842fc54828 100644 --- a/content/en/observability_pipelines/destinations/elasticsearch.md +++ b/content/en/observability_pipelines/destinations/elasticsearch.md @@ -42,6 +42,7 @@ After you select the Elasticsearch destination in the pipeline UI: 1. In the {{< ui >}}Type{{< /ui >}} field, enter the category of data being ingested, for example `logs` or `metrics`. 1. In the {{< ui >}}Dataset{{< /ui >}} field, specify the format or data source that describes the structure, for example `apache`. 1. In the {{< ui >}}Namespace{{< /ui >}} field, enter the grouping for organizing your data streams, for example `production`. + - You can use [template syntax][3] for the {{< ui >}}Type{{< /ui >}}, {{< ui >}}Dataset{{< /ui >}}, and {{< ui >}}Namespace{{< /ui >}} fields to dynamically construct the data stream name based on specific fields in your logs or metrics. 1. Enable the {{< ui >}}Auto routing{{< /ui >}} toggle to automatically route events to a data stream based on the event content. 1. Enable the {{< ui >}}Sync fields{{< /ui >}} toggle to synchronize data stream fields with the Elasticsearch index mapping. - In the UI, there is a preview of the data stream name you configured. If the fields are left blank, the default data stream name used is `logs-generic-default` for logs and `metrics-generic-default` for metrics. With the above example inputs, the data stream name that the Worker writes to is: diff --git a/content/en/observability_pipelines/destinations/opensearch.md b/content/en/observability_pipelines/destinations/opensearch.md index 9ce5fe96a8b..81fbd914d53 100644 --- a/content/en/observability_pipelines/destinations/opensearch.md +++ b/content/en/observability_pipelines/destinations/opensearch.md @@ -39,6 +39,7 @@ After you select the OpenSearch destination in the pipeline UI: - In the {{< ui >}}Type{{< /ui >}} field, enter the category of data being ingested, for example `logs`. - In the {{< ui >}}Dataset{{< /ui >}} field, specify the format or data source that describes the structure, for example `apache`. - In the {{< ui >}}Namespace{{< /ui >}} field, enter the grouping for organizing your data streams, for example `production`. + - You can use [template syntax][3] for the {{< ui >}}Type{{< /ui >}}, {{< ui >}}Dataset{{< /ui >}}, and {{< ui >}}Namespace{{< /ui >}} fields to dynamically construct the data stream name based on specific fields in your logs. - In the UI, there is a preview of the data stream name you configured. With the above example inputs, the data stream name that the Worker writes to is `logs-apache-production`. ### Optional settings