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Merge pull request #77 from appsignal/update-aws-dashboards-2026-05-27
Update AWS CloudWatch dashboards
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‎dashboards/aws/README.md‎

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# AWS CloudWatch dashboards
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These dashboard files are managed by the [cloudwatch-dashboards](https://github.com/appsignal/cloudwatch-dashboards) repository. Do not edit them directly — changes will be overwritten on the next publish.

‎dashboards/aws/ai_ml_bedrock.json‎

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{
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"label": "beta",
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"metric_keys": [
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"aws_bedrock_invocations"
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],
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"dashboard": {
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"title": "AWS/Bedrock",
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"description": "Monitor Amazon Bedrock model invocations, latency, errors, throttles, and token usage.",
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"visuals": [
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Invocations",
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"description": "Number of model invocation requests.",
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"line_label": "%name% %ModelId%",
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"metrics": [
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{
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"name": "aws_bedrock_invocations",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Invocation Errors",
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"description": "Client-side (4xx) and server-side (5xx) invocation errors.",
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"line_label": "%name% %ModelId%",
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"metrics": [
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{
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"name": "aws_bedrock_invocation_client_errors",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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},
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{
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"name": "aws_bedrock_invocation_server_errors",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "duration",
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"draw_null_as_zero": false,
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"title": "Invocation Latency",
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"description": "Time taken to process model invocations.",
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"line_label": "%name% %ModelId%",
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"metrics": [
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{
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"name": "aws_bedrock_invocation_latency",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Throttles",
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"description": "Number of invocations throttled due to service limits.",
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"line_label": "%name% %ModelId%",
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"metrics": [
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{
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"name": "aws_bedrock_invocation_throttles",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Input vs Output Tokens",
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"description": "Number of tokens in model input and output.",
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"line_label": "%name% %ModelId%",
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"metrics": [
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{
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"name": "aws_bedrock_input_token_count",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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},
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{
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"name": "aws_bedrock_output_token_count",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Output Images",
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"description": "Number of images generated by image models.",
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"line_label": "%name% %ModelId%",
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"metrics": [
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{
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"name": "aws_bedrock_output_image_count",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "ModelId", "value": "*" }]
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}
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]
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}
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]
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}
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}

‎dashboards/aws/ai_ml_sagemaker.json‎

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{
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"label": "beta",
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"metric_keys": [
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"aws_sagemaker_invocations"
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],
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"dashboard": {
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"title": "AWS/SageMaker",
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"description": "Monitor SageMaker endpoint invocations, errors, and latency.",
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"visuals": [
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Invocations",
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"description": "Total invocations and per-instance invocation rate.",
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"line_label": "%name% %EndpointName%",
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"metrics": [
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{
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"name": "aws_sagemaker_invocations",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "EndpointName", "value": "*" }]
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},
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{
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"name": "aws_sagemaker_invocations_per_instance",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "EndpointName", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Invocation Errors",
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"description": "Number of invocations that resulted in model errors (4xx/5xx).",
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"line_label": "%name% %EndpointName%",
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"metrics": [
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{
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"name": "aws_sagemaker_invocation_model_errors",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "EndpointName", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "duration",
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"draw_null_as_zero": false,
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"title": "Latency",
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"description": "Time taken by the model to respond and SageMaker overhead latency.",
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"line_label": "%name% %EndpointName%",
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"metrics": [
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{
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"name": "aws_sagemaker_model_latency",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "EndpointName", "value": "*" }]
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},
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{
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"name": "aws_sagemaker_overhead_latency",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "EndpointName", "value": "*" }]
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}
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]
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}
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]
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}
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}

‎dashboards/aws/analytics_athena.json‎

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{
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"label": "beta",
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"metric_keys": [
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"aws_athena_total_execution_time"
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],
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"dashboard": {
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"title": "AWS/Athena",
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"description": "Monitor Athena query execution times, query phase durations, and data scanned.",
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"visuals": [
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{
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"type": "timeseries",
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"display": "line",
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"format": "duration",
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"draw_null_as_zero": false,
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"title": "Query Execution Time",
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"description": "Total time to execute a query including queue and planning time.",
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"line_label": "%name% %WorkGroup%",
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"metrics": [
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{
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"name": "aws_athena_total_execution_time",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "WorkGroup", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "duration",
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"draw_null_as_zero": false,
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"title": "Query Phases",
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"description": "Time spent in queue, planning, and processing phases.",
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"line_label": "%name% %WorkGroup%",
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"metrics": [
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{
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"name": "aws_athena_query_queue_time",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "WorkGroup", "value": "*" }]
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},
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{
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"name": "aws_athena_query_planning_time",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "WorkGroup", "value": "*" }]
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},
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{
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"name": "aws_athena_service_processing_time",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "WorkGroup", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "size",
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"format_input": "byte",
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"draw_null_as_zero": true,
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"title": "Data Scanned",
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"description": "Amount of data scanned by queries.",
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"line_label": "%name% %WorkGroup%",
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"metrics": [
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{
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"name": "aws_athena_processed_bytes",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "WorkGroup", "value": "*" }]
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}
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]
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}
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]
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}
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}

‎dashboards/aws/analytics_glue.json‎

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{
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"label": "beta",
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"metric_keys": [
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"glue_glue_driver_aggregate_elapsed_time"
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],
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"dashboard": {
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"title": "AWS/Glue",
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"description": "Monitor Glue ETL job duration, task completion, data throughput, and JVM heap usage.",
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"visuals": [
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{
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"type": "timeseries",
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"display": "line",
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"format": "duration",
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"draw_null_as_zero": false,
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"title": "Job Duration",
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"description": "Elapsed time of the Glue ETL job.",
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"line_label": "%name% %JobName%",
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"metrics": [
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{
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"name": "glue_glue_driver_aggregate_elapsed_time",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "JobName", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "number",
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"draw_null_as_zero": true,
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"title": "Tasks",
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"description": "Completed and failed tasks in the Glue job.",
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"line_label": "%name% %JobName%",
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"metrics": [
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{
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"name": "glue_glue_driver_aggregate_num_completed_tasks",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "JobName", "value": "*" }]
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},
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{
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"name": "glue_glue_driver_aggregate_num_failed_tasks",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "JobName", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "size",
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"format_input": "byte",
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"draw_null_as_zero": true,
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"title": "Bytes Read",
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"description": "Total bytes read by the Glue job.",
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"line_label": "%name% %JobName%",
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"metrics": [
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{
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"name": "glue_glue_driver_aggregate_bytes_read",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "JobName", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "size",
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"format_input": "byte",
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"draw_null_as_zero": false,
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"title": "JVM Heap",
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"description": "JVM heap memory used by the Glue driver.",
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"line_label": "%name% %JobName%",
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"metrics": [
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{
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"name": "glue_glue_driver_jvm_heap_used",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "JobName", "value": "*" }]
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}
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]
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},
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{
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"type": "timeseries",
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"display": "line",
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"format": "percent",
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"draw_null_as_zero": false,
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"title": "JVM Heap Usage",
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"description": "Fraction of JVM heap memory used as a percentage.",
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"line_label": "%name% %JobName%",
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"metrics": [
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{
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"name": "glue_glue_driver_jvm_heap_usage",
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"fields": [{ "field": "GAUGE" }],
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"tags": [{ "key": "JobName", "value": "*" }]
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}
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]
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}
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]
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}
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}

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