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Co-authored-by: Craig Norris <[email protected]> Signed-off-by: Lynette Miles <[email protected]>
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pipeline/outputs/vivo-exporter.md

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@@ -69,11 +69,11 @@ By using an HTTP request, you can retrieve the data from the streams. The follow
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|------------|-------------------------------------------------------------------------------------------------------------------------------|
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| `/logs` | Exposes log events in JSON format. Each event contains a timestamp, metadata and the event content. |
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| `/metrics` | Exposes metrics events in JSON format. Each metric contains name, metadata, metric type and labels (dimensions). |
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| `/traces` | Exposes traces events in JSON format. Each trace contains a name, resource spans, spans, attributes, events information, and so on. |
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| `/traces` | Exposes trace events in JSON format. Each trace contains a name, resource spans, spans, attributes, events information, and so on. |
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The following example generates dummy log events which will be consuming by using `curl` HTTP command line client:
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The following example generates dummy log events for consumption by using `curl` HTTP command line client:
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1. Configure and start Fluent Bit
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1. Configure and start Fluent Bit.
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{% tabs %}
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{% tab title="fluent-bit.yaml" %}
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### Streams and IDs
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As mentioned previously, each stream buffers a `chunk` that contains `N` events, each chunk contains its own ID which is unique inside the stream.
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As mentioned previously, each stream buffers a `chunk` that contains `N` events, with each chunk containing its own ID that's unique inside the stream.
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After receiving the HTTP response, Vivo Exporter also reports the range of chunk IDs that were served in the response using the HTTP headers `Vivo-Stream-Start-ID` and `Vivo-Stream-End-ID`.
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