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Merge pull request #952 from JimHagan/jhagan-add-explainer-for-byteco…
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feat: Added "about this dashboard" page to the entity breakdown dashboard
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John P Vajda authored Mar 24, 2022
2 parents 47b0d73 + dcf6482 commit 33a9cdf
Showing 1 changed file with 22 additions and 0 deletions.
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"linkedEntityGuids": null
}
]
},
{
"name": "About this dashboard",
"description": null,
"widgets": [
{
"visualization": {
"id": "viz.markdown"
},
"layout": {
"column": 1,
"row": 1,
"height": 5,
"width": 6
},
"title": "",
"rawConfiguration": {
"text": "# How these charts work\nThese charts use the `bytecountestimate()` operator which can estimate the data ingest overhead for nearly any event or metric in NRDB. \n\nHere is an example of a query that estimates data ingest overhead for Browser data faceted by appName:\n\n```\nFROM PageAction, PageView, PageViewTiming, AjaxRequest, JavaScriptError\nSELECT rate(bytecountestimate()/10e8, 30 day) AS 'GB Ingest'\nFACET appName SINCE 1 DAY AGO\n```\n\n### Benefits\n- The data is far more granular than those in the main [Data Governance Baseline](https://docs.newrelic.com/docs/new-relic-solutions/observability-maturity/operational-efficiency/dg-baselining#install-dashboard) dashboard which rely only on NrConsumption metrics\n- We are able to facet by nearly any attribute\n\n### Drawbacks\n- The queries are slower as the data can be quite high volume and the bytecountestimate() operator has some overhead.\n- The can only be queried up to the data retentino period for that telemetry. For some telemetry types this may not be more than a week.\n\n## View the [data governance guide](https://docs.newrelic.com/docs/new-relic-solutions/observability-maturity/operational-efficiency/dg-intro) for more information\n"
},
"linkedEntityGuids": null
}
]
}
]
}

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