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time-series: Changed to headless mqtt service for helm deployment (#897)
This PR converts the MQTT broker service from a NodePort to a headless service to enable direct pod communication, reducing time series processing latency. Additionally, the Grafana dashboard is updated to display processing times in seconds instead of milliseconds.
Signed-off-by: Pooja Kumbharkar <[email protected]>
Copy file name to clipboardExpand all lines: manufacturing-ai-suite/industrial-edge-insights-time-series/apps/weld-anomaly-detection/grafana-dashboard.json
+4-4Lines changed: 4 additions & 4 deletions
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@@ -671,13 +671,13 @@
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"type": "influxdb",
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"uid": "P951FEA4DE68E13C5"
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},
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"query": "SELECT mean(mean_value) FROM (SELECT mean(end_end_time)/1000000 AS mean_value FROM \"weld-sensor-anomaly-data\" WHERE time > now() - 3m GROUP BY time(1m))\n",
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"query": "SELECT mean(mean_value) FROM (SELECT mean(end_end_time)/1000000000 AS mean_value FROM \"weld-sensor-anomaly-data\" WHERE time > now() - 3m GROUP BY time(1m))\n",
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"rawQuery": true,
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"refId": "A",
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"resultFormat": "time_series"
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}
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],
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"title": "Average Time to Process a point E2E (ms)",
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"title": "Average Time to Process a point E2E (seconds)",
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"type": "stat"
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},
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{
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"pluginVersion": "12.0.0",
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"targets": [
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{
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"query": " select mean(processing_time)/1000000 from \"weld-sensor-anomaly-data\" order by time desc",
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"query": " select mean(processing_time)/1000000000 from \"weld-sensor-anomaly-data\" order by time desc",
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