From 0c64ba889aa5c3be0c2b1cbce3e9384c2651f82d Mon Sep 17 00:00:00 2001 From: devrimdemiroz Date: Wed, 22 Mar 2023 23:30:27 +0100 Subject: [PATCH 1/2] Documentation for PR #797 - Opentelemetry Collector Data Flow Dashboard --- content-modules/community | 2 +- content-modules/opentelemetry-go | 2 +- content-modules/opentelemetry-specification | 2 +- .../demo/collector-data-flow-dashboard.md | 70 ++++++++++++++++++ .../otelcol-dashbord-process-metrics.png | Bin 0 -> 276160 bytes .../otelcol-data-flow-dashboard.png | Bin 0 -> 486197 bytes .../screenshots/otelcol-data-flow-metrics.png | Bin 0 -> 299869 bytes .../otelcol-data-flow-overview.png | Bin 0 -> 148284 bytes 8 files changed, 73 insertions(+), 3 deletions(-) create mode 100644 content/en/docs/demo/collector-data-flow-dashboard.md create mode 100644 content/en/docs/demo/screenshots/otelcol-dashbord-process-metrics.png create mode 100644 content/en/docs/demo/screenshots/otelcol-data-flow-dashboard.png create mode 100644 content/en/docs/demo/screenshots/otelcol-data-flow-metrics.png create mode 100644 content/en/docs/demo/screenshots/otelcol-data-flow-overview.png diff --git a/content-modules/community b/content-modules/community index 59f11daabb94..4915a000221f 160000 --- a/content-modules/community +++ b/content-modules/community @@ -1 +1 @@ -Subproject commit 59f11daabb94a661f9b9c2250b76c63819eedd2c +Subproject commit 4915a000221fb499c45b175deba8995a84adecac diff --git a/content-modules/opentelemetry-go b/content-modules/opentelemetry-go index 46d7f8dad399..4ccd59056982 160000 --- a/content-modules/opentelemetry-go +++ b/content-modules/opentelemetry-go @@ -1 +1 @@ -Subproject commit 46d7f8dad3994f3807aed76d139ac884b8991f1d +Subproject commit 4ccd59056982f34c3fcc8faef574f209b70d0f59 diff --git a/content-modules/opentelemetry-specification b/content-modules/opentelemetry-specification index fe6f924ca75d..a2a913a6dc72 160000 --- a/content-modules/opentelemetry-specification +++ b/content-modules/opentelemetry-specification @@ -1 +1 @@ -Subproject commit fe6f924ca75db09351fadb63ba4d29445ad56bb2 +Subproject commit a2a913a6dc72806749b2943ac64680cdc759dcde diff --git a/content/en/docs/demo/collector-data-flow-dashboard.md b/content/en/docs/demo/collector-data-flow-dashboard.md new file mode 100644 index 000000000000..b6ed462da53c --- /dev/null +++ b/content/en/docs/demo/collector-data-flow-dashboard.md @@ -0,0 +1,70 @@ +# Collector Data Flow Dashboard + +Monitoring data flow through the OpenTelemetry Collector is crucial for several reasons. Gaining a macro-level perspective on incoming data, such as sample counts and cardinality, is essential for comprehending the collector's internal dynamics. However, when delving into the details, the interconnections can become complex. The Collector Data Flow Dashboard aims to demonstrate the capabilities of the OpenTelemetry demo application, offering a solid foundation for users to build upon. + +## Overview + +![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-data-flow-overview.png) + +The diagram above provides an overview of the system components, showcasing the configuration derived from the OpenTelemetry Collector (otelcol) configuration file utilized by the OpenTelemetry demo application. Additionally, it highlights the observability data (traces and metrics) flow within the system. + +## Ingress/Egress Metrics + + +![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-data-flow-metrics.png) +The metrics depicted in the diagram above are employed to monitor both egress and ingress data flows. These metrics are generated by the otelcol process, exported on port 8888, and subsequently scraped by Prometheus. The namespace associated with these metrics is "otelcol," and the job name is labeled as "otel." + +Labels serve as a valuable tool for identifying specific metric sets (such as exporter, receiver, or job), enabling differentiation among metric sets within the overall namespace. It is important to note that you will only encounter refused metrics if the memory limits, as defined in the memory delimiter processor, are exceeded. + +### Ingress Traces Pipeline +- otelcol_receiver_accepted_spans +- otelcol_receiver_refused_spans +- by (receiver,transport) + +### Ingress Metrics Pipeline + +- otelcol_receiver_accepted_metric_points +- otelcol_receiver_refused_metric_points +- by (receiver,transport) + +### Processor +Only batch processor is currently present in the demo application. And the processor is used by both traces and metrics pipelines. +- otelcol_processor_batch_batch_send_size_sum + +### Egress Traces Pipeline +- otelcol_exporter_sent_spans +- otelcol_exporter_send_failed_spans +- by (exporter) + +### Egress Metrics Pipeline +- otelcol_exporter_sent_metric_points +- otelcol_exporter_send_failed_metric_points +- by (exporter) + +### Prometheus Scraping +- scrape_samples_scraped +- by (job) + +## Dashboard + +![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-data-flow-dashboard.png) + +You can access the dashboard by navigating to the Grafana UI, selecting the "OpenTelemetry Collector Data Flow" dashboard under brose icon on the left-hand side of the screen. + +Dashboard mainly consists of four sections: +1. Process Metrics +2. Traces Pipeline +3. Metrics Pipeline +4. Prometheus Scraping + +Sections 2,3 and 4 represents over all the data flow using the metrics mentioned above. Additionally, export ratio is calculated for each pipeline to understand the data flow. + +### Export Ratio + +Export ratio is basically the ratio between receiver and exporter metrics. You can notice over the dashboard screenshot above that the export ratio on metrics is way too hight than the received metrics. This is because the demo application is configured to generate spanmetrics which is a processor that generates metrics from spans inside collector as illustrated in overview diagram. + +### Process Metrics + +![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-dashbord-process-metrics.png) + +Very limited but informative process metrics are added to dashboard. For example, you might observe more than one instance of otelcol running on the system during restarts or similar. 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a/content/en/docs/demo/collector-data-flow-dashboard.md b/content/en/docs/demo/collector-data-flow-dashboard.md index b6ed462da53c..456fbfcc17a9 100644 --- a/content/en/docs/demo/collector-data-flow-dashboard.md +++ b/content/en/docs/demo/collector-data-flow-dashboard.md @@ -1,70 +1,105 @@ # Collector Data Flow Dashboard -Monitoring data flow through the OpenTelemetry Collector is crucial for several reasons. Gaining a macro-level perspective on incoming data, such as sample counts and cardinality, is essential for comprehending the collector's internal dynamics. However, when delving into the details, the interconnections can become complex. The Collector Data Flow Dashboard aims to demonstrate the capabilities of the OpenTelemetry demo application, offering a solid foundation for users to build upon. +Monitoring data flow through the OpenTelemetry Collector is crucial for several +reasons. Gaining a macro-level perspective on incoming data, such as sample +counts and cardinality, is essential for comprehending the collector's internal +dynamics. However, when delving into the details, the interconnections can +become complex. The Collector Data Flow Dashboard aims to demonstrate the +capabilities of the OpenTelemetry demo application, offering a solid foundation +for users to build upon. ## Overview -![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-data-flow-overview.png) +![](screenshots/otelcol-data-flow-overview.png) -The diagram above provides an overview of the system components, showcasing the configuration derived from the OpenTelemetry Collector (otelcol) configuration file utilized by the OpenTelemetry demo application. Additionally, it highlights the observability data (traces and metrics) flow within the system. +The diagram above provides an overview of the system components, showcasing the +configuration derived from the OpenTelemetry Collector (otelcol) configuration +file utilized by the OpenTelemetry demo application. Additionally, it highlights +the observability data (traces and metrics) flow within the system. ## Ingress/Egress Metrics +![](screenshots/otelcol-data-flow-metrics.png) +The metrics depicted in the diagram above are employed to monitor both egress +and ingress data flows. These metrics are generated by the otelcol process, +exported on port 8888, and subsequently scraped by Prometheus. The namespace +associated with these metrics is "otelcol," and the job name is labeled as +"otel." -![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-data-flow-metrics.png) -The metrics depicted in the diagram above are employed to monitor both egress and ingress data flows. These metrics are generated by the otelcol process, exported on port 8888, and subsequently scraped by Prometheus. The namespace associated with these metrics is "otelcol," and the job name is labeled as "otel." +Labels serve as a valuable tool for identifying specific metric sets (such as +exporter, receiver, or job), enabling differentiation among metric sets within +the overall namespace. It is important to note that you will only encounter +refused metrics if the memory limits, as defined in the memory delimiter +processor, are exceeded. -Labels serve as a valuable tool for identifying specific metric sets (such as exporter, receiver, or job), enabling differentiation among metric sets within the overall namespace. It is important to note that you will only encounter refused metrics if the memory limits, as defined in the memory delimiter processor, are exceeded. +### Ingress Traces Pipeline -### Ingress Traces Pipeline - otelcol_receiver_accepted_spans - otelcol_receiver_refused_spans - by (receiver,transport) -### Ingress Metrics Pipeline +### Ingress Metrics Pipeline - otelcol_receiver_accepted_metric_points - otelcol_receiver_refused_metric_points - by (receiver,transport) ### Processor -Only batch processor is currently present in the demo application. And the processor is used by both traces and metrics pipelines. + +Only batch processor is currently present in the demo application. And the +processor is used by both traces and metrics pipelines. + - otelcol_processor_batch_batch_send_size_sum ### Egress Traces Pipeline + - otelcol_exporter_sent_spans - otelcol_exporter_send_failed_spans - by (exporter) ### Egress Metrics Pipeline + - otelcol_exporter_sent_metric_points - otelcol_exporter_send_failed_metric_points - by (exporter) ### Prometheus Scraping + - scrape_samples_scraped - by (job) ## Dashboard -![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-data-flow-dashboard.png) +![](screenshots/otelcol-data-flow-dashboard.png) -You can access the dashboard by navigating to the Grafana UI, selecting the "OpenTelemetry Collector Data Flow" dashboard under brose icon on the left-hand side of the screen. +You can access the dashboard by navigating to the Grafana UI, selecting the +"OpenTelemetry Collector Data Flow" dashboard under brose icon on the left-hand +side of the screen. Dashboard mainly consists of four sections: + 1. Process Metrics 2. Traces Pipeline 3. Metrics Pipeline 4. Prometheus Scraping -Sections 2,3 and 4 represents over all the data flow using the metrics mentioned above. Additionally, export ratio is calculated for each pipeline to understand the data flow. +Sections 2,3 and 4 represents over all the data flow using the metrics mentioned +above. Additionally, export ratio is calculated for each pipeline to understand +the data flow. ### Export Ratio -Export ratio is basically the ratio between receiver and exporter metrics. You can notice over the dashboard screenshot above that the export ratio on metrics is way too hight than the received metrics. This is because the demo application is configured to generate spanmetrics which is a processor that generates metrics from spans inside collector as illustrated in overview diagram. +Export ratio is basically the ratio between receiver and exporter metrics. You +can notice over the dashboard screenshot above that the export ratio on metrics +is way too hight than the received metrics. This is because the demo application +is configured to generate spanmetrics which is a processor that generates +metrics from spans inside collector as illustrated in overview diagram. ### Process Metrics -![](/Users/taadeul1/otel/opentelemetry.io.docs/content/en/docs/demo/screenshots/otelcol-dashbord-process-metrics.png) +![](screenshots/otelcol-dashbord-process-metrics.png) -Very limited but informative process metrics are added to dashboard. For example, you might observe more than one instance of otelcol running on the system during restarts or similar. This can be useful for understanding spikes on dataflow. +Very limited but informative process metrics are added to dashboard. For +example, you might observe more than one instance of otelcol running on the +system during restarts or similar. This can be useful for understanding spikes +on dataflow.