diff --git a/_data-prepper/common-use-cases/log-enrichment.md b/_data-prepper/common-use-cases/log-enrichment.md index 0d8ce4ab7d..0c878dd76e 100644 --- a/_data-prepper/common-use-cases/log-enrichment.md +++ b/_data-prepper/common-use-cases/log-enrichment.md @@ -370,7 +370,7 @@ The `date` processor can generate timestamps for incoming events if you specify ### Deriving punctuation patterns -The [`substitute_string`]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/substitute-string/) processor (which is one of the mutate string processors) lets you derive a punctuation pattern from incoming events. In the following example pipeline, the processor will scan incoming Apache log events and derive punctuation patterns from them: +The [`substitute_string`]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/substitute_string/) processor (which is one of the mutate string processors) lets you derive a punctuation pattern from incoming events. In the following example pipeline, the processor will scan incoming Apache log events and derive punctuation patterns from them: ```yaml processor: diff --git a/_data-prepper/common-use-cases/trace-analytics.md b/_data-prepper/common-use-cases/trace-analytics.md index 033830351a..3deca7b632 100644 --- a/_data-prepper/common-use-cases/trace-analytics.md +++ b/_data-prepper/common-use-cases/trace-analytics.md @@ -32,7 +32,7 @@ To monitor trace analytics in Data Prepper, we provide three pipelines: `entry-p ### OpenTelemetry trace source -The [OpenTelemetry source]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/otel-trace-raw/) accepts trace data from the OpenTelemetry Collector. The source follows the [OpenTelemetry Protocol](https://github.com/open-telemetry/opentelemetry-specification/tree/master/specification/protocol) and officially supports transport over gRPC and the use of industry-standard encryption (TLS/HTTPS). +The [OpenTelemetry source]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/otel_traces/) accepts trace data from the OpenTelemetry Collector. The source follows the [OpenTelemetry Protocol](https://github.com/open-telemetry/opentelemetry-specification/tree/master/specification/protocol) and officially supports transport over gRPC and the use of industry-standard encryption (TLS/HTTPS). ### Processor @@ -49,8 +49,8 @@ OpenSearch provides a generic sink that writes data to OpenSearch as the destina The sink provides specific configurations for the trace analytics feature. These configurations allow the sink to use indexes and index templates specific to trace analytics. The following OpenSearch indexes are specific to trace analytics: -* otel-v1-apm-span –- The *otel-v1-apm-span* index stores the output from the [otel_traces_raw]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/otel-trace-raw/) processor. -* otel-v1-apm-service-map –- The *otel-v1-apm-service-map* index stores the output from the [service_map_stateful]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/service-map-stateful/) processor. +* otel-v1-apm-span –- The *otel-v1-apm-span* index stores the output from the [otel_traces_raw]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/otel_traces/) processor. +* otel-v1-apm-service-map –- The *otel-v1-apm-service-map* index stores the output from the [service_map_stateful]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/service_map/) processor. ## Trace tuning diff --git a/_data-prepper/pipelines/configuration/processors/service_map.md b/_data-prepper/pipelines/configuration/processors/service_map.md index 30776f1da7..b62e222fd5 100644 --- a/_data-prepper/pipelines/configuration/processors/service_map.md +++ b/_data-prepper/pipelines/configuration/processors/service_map.md @@ -39,7 +39,7 @@ The following table describes common [Abstract processor](https://github.com/ope | `recordsOut` | Counter | Metric representing the egress of records from a pipeline component. | | `timeElapsed` | Timer | Metric representing the time elapsed during execution of a pipeline component. | -The `service-map-stateful` processor includes following custom metrics: +The `service_map` processor includes following custom metrics: * `traceGroupCacheCount`: The number of trace groups in the trace group cache. * `spanSetCount`: The number of span sets in the span set collection. \ No newline at end of file diff --git a/_observing-your-data/trace/ta-dashboards.md b/_observing-your-data/trace/ta-dashboards.md index 595dce6ca2..c7cf0a5091 100644 --- a/_observing-your-data/trace/ta-dashboards.md +++ b/_observing-your-data/trace/ta-dashboards.md @@ -48,7 +48,7 @@ The **Trace Analytics** application includes two options: **Services** and **Tra The plugin requires you to use [Data Prepper]({{site.url}}{{site.baseurl}}/data-prepper/) to process and visualize OTel data and relies on the following Data Prepper pipelines for OTel correlations and service map calculations: - [Trace analytics pipeline]({{site.url}}{{site.baseurl}}/data-prepper/common-use-cases/trace-analytics/) -- [Service map pipeline]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/service-map-stateful/) +- [Service map pipeline]({{site.url}}{{site.baseurl}}/data-prepper/pipelines/configuration/processors/service_map/) ### Standardized telemetry data