Updates Data Prepper use-case images #3844
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… OpenSearch icons and typography. Signed-off-by: David Venable <[email protected]>
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… OpenSearch icons and typography. (#3844) Signed-off-by: David Venable <[email protected]> (cherry picked from commit 3baac55) Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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… OpenSearch icons and typography. (#3844) Signed-off-by: David Venable <[email protected]> (cherry picked from commit 3baac55) Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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… OpenSearch icons and typography. (#3844) (#3896) (cherry picked from commit 3baac55) Signed-off-by: David Venable <[email protected]> Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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… OpenSearch icons and typography. (#3844) (#3895) (cherry picked from commit 3baac55) Signed-off-by: David Venable <[email protected]> Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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| @@ -15,7 +15,7 @@ When using Data Prepper as a server-side component to collect trace data, you ca | |||
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| The following flowchart illustrates the trace analytics workflow, from running OpenTelemetry Collector to using OpenSearch Dashboards for visualization. | |||
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| <img src="{{site.url}}{{site.baseurl}}/images/data-prepper/trace-analytics/trace-analytics-components.png" alt="Trace analyticis component overview">{: .img-fluid} | |||
| <img src="{{site.url}}{{site.baseurl}}/images/data-prepper/trace-analytics/trace-analytics-components.jpg" alt="Trace analyticis component overview">{: .img-fluid} | |||
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alt="Trace analyticis --> alt="Trace analytics"
| @@ -27,7 +27,7 @@ To monitor trace analytics, you need to set up the following components in your | |||
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| To monitor trace analytics in Data Prepper, we provide three pipelines: `entry-pipeline`, `raw-trace-pipeline`, and `service-map-pipeline`. The following image provides an overview of how the pipelines work together to monitor trace analytics. | |||
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Data Prepper provides three pipelines that can be used to monitor trace analytics:
| @@ -11,15 +11,15 @@ Data Prepper is an extendable, configurable, and scalable solution for log inges | |||
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| The following image shows all of the components used for log analytics with Fluent Bit, Data Prepper, and OpenSearch. | |||
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| In the application environment, run Fluent Bit. Fluent Bit can be containerized through Kubernetes, Docker, or Amazon Elastic Container Service (Amazon ECS). You can also run Fluent Bit as an agent on Amazon Elastic Compute Cloud (Amazon EC2). Configure the [Fluent Bit http output plugin](https://docs.fluentbit.io/manual/pipeline/outputs/http) to export log data to Data Prepper. Then deploy Data Prepper as an intermediate component and configure it to send the enriched log data to your OpenSearch cluster. From there, use OpenSearch Dashboards to perform more intensive visualization and analysis. | |||
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I know I'm not obligated to review this, but I just wonder if we can start this sentence with some kind of intro to what they are doing? Like, "To get started using log analytics in Data Prepper, run Fluent Bit in the application environment of your choice. ... Also, the sentence with "Then..." should have a better starter phrase, like, "After configuring Fluent Bit, deploy Data Prepper..." (The paragraph seems a bit rushed.)
| @@ -11,15 +11,15 @@ Data Prepper is an extendable, configurable, and scalable solution for log inges | |||
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| The following image shows all of the components used for log analytics with Fluent Bit, Data Prepper, and OpenSearch. | |||
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| In the application environment, run Fluent Bit. Fluent Bit can be containerized through Kubernetes, Docker, or Amazon Elastic Container Service (Amazon ECS). You can also run Fluent Bit as an agent on Amazon Elastic Compute Cloud (Amazon EC2). Configure the [Fluent Bit http output plugin](https://docs.fluentbit.io/manual/pipeline/outputs/http) to export log data to Data Prepper. Then deploy Data Prepper as an intermediate component and configure it to send the enriched log data to your OpenSearch cluster. From there, use OpenSearch Dashboards to perform more intensive visualization and analysis. | |||
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| ## Log analytics pipeline | |||
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Should it be Log analytics pipelines?
| @@ -15,7 +15,7 @@ When using Data Prepper as a server-side component to collect trace data, you ca | |||
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| The following flowchart illustrates the trace analytics workflow, from running OpenTelemetry Collector to using OpenSearch Dashboards for visualization. | |||
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| <img src="{{site.url}}{{site.baseurl}}/images/data-prepper/trace-analytics/trace-analytics-components.png" alt="Trace analyticis component overview">{: .img-fluid} | |||
| <img src="{{site.url}}{{site.baseurl}}/images/data-prepper/trace-analytics/trace-analytics-components.jpg" alt="Trace analyticis component overview">{: .img-fluid} | |||
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| To monitor trace analytics, you need to set up the following components in your service environment: | |||
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To monitor trace analytics, you need to set up the --> To monitor trace analytics, set up
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… OpenSearch icons and typography. (#3844) Signed-off-by: David Venable <[email protected]>
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Oct 31, 2023
… OpenSearch icons and typography. (opensearch-project#3844) Signed-off-by: David Venable <[email protected]>
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Description
This PR updates the images used for Data Prepper use-cases:
Issues Resolved
N/A
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