Social Media Data Center IoT Alerts

This dataset provides detailed, structured records of IoT alert events from social media platform data centers, including device information, alert types and severities, response metrics, and resolution details. It enables IT managers to monitor device health, detect security incidents, and optimize maintenance workflows for distributed edge environments. The dataset supports proactive risk mitigation, incident response analysis, and operational reporting.

  • last updated 24 Dec 2025
  • by GoMask
The brief that made it

Real-time monitoring and analysis of IoT device health and security events

Sample rows

preview · 8 of 120 rows · all 22 columns
alert_idstringalert_severitystringtime_to_acknowledge_minutesintegeris_escalatedbooleanassigned_tostringalert_timestampdatetimedata_center_idstringdata_center_namestringdata_center_location_citystringdata_center_location_statestringdata_center_location_countrystringdevice_idstringdevice_typestringdevice_modelstringdevice_firmware_versionstringalert_typestringalert_statusstringdetected_bystringtime_to_resolve_minutesintegerrelated_ticket_idstringalert_descriptionstringresolution_notesstring
ALRT-0001highblankfalseblank2022-01-01T02:15:31ZDC-NYC-01New York Central DCNew YorkNYUSDV-SEN-101sensorTempSense-X100v2.3.1device_healthnewdevice_agentblankblankTemperature sensor reported unexpected fluctuation in readings.blank
ALRT-0002critical3truesec_ops_team2024-02-13T09:44:11ZDC-SFO-03San Francisco Bay DCSan FranciscoCAUSDV-CAM-210cameraCamPro-4Kv5.1.0securityescalatedmonitoring_toolblankTCK-3831Unauthorized access detected at entrance, camera feed flagged.blank
ALRT-0003critical2truenet_eng_bob2024-03-05T17:22:41ZDC-BOM-12Mumbai Gateway DCMumbaiMHINDV-GAT-301gatewayGateLink XTv1.8.0-betaconnectivitynewmonitoring_toolblankTCK-4104Gateway lost connection to edge devices in zone 4.blank
ALRT-0004medium22falseeng_satoshi2024-04-17T11:37:58ZDC-TYO-10Tokyo Edge DCTokyoTokyoJPDV-SRV-701serverSrvMax-9100v4.7.4maintenanceresolvedmaintenance_scheduler54blankServer scheduled for maintenance completed successfully.Routine server maintenance finished without incident.
ALRT-0005low16falseeng_alex2024-01-27T08:05:44ZDC-LON-07London Main DCLondonLondonGBDV-ROU-512routerEdgeRoute XRv3.0.2maintenanceresolvedmaintenance_scheduler31blankRouter firmware updated during maintenance window.Router firmware update completed as scheduled.
ALRT-0006high4falsesec_ops_team2023-12-31T23:59:59ZDC-JHB-16Johannesburg Node DCJohannesburgGPZADV-CAM-214cameraCamPro-HDv5.0.9securityacknowledgeddevice_agentblankblankCamera detected motion outside normal hours.blank
ALRT-0007info8falsenet_eng_anika2024-04-04T15:16:02ZDC-SNG-05Singapore Hub DCSingaporeSGSGDV-GAT-311gatewayGateNanov1.7.3connectivityresolvedmonitoring_tool13blankGateway reported temporary loss of signal, now restored.Signal loss resolved, gateway back online.
ALRT-0008medium6falsetech_jane2024-03-22T10:32:47ZDC-NYC-01New York Central DCNew YorkNYUSDV-SEN-105sensorEnviroSense-2v2.4.0device_healthacknowledgeddevice_agentblankblankHumidity sensor flagged for calibration drift.blank

What the 120 rows show

from the 120-row sample

Critical (alert severity) stands out: 30 of its 30 rows have is_escalated = true, against 6 of 90 for the rest.

  • 30%is_escalated = true
  • 7median time_to_acknowledge_minutes
  • 3detected_by values
  • 4alert statuses
  • 5device types
  • 6alert types
Is escalated rate by alert_severityis_escalated = true
0%50%100%100%critic…30 of 3023%high6 of 260%medium0 of 370%low0 of 90%info0 of 18
time_to_acknowledge_minutes102 rows, in bands of 5
0255026421775121102545time_to_acknowledge_minutes →

Median 7, from 0 to 41.

assigned_to100 rows with a value · 20 left blank
  1. sec_ops_team22
  2. net_eng_bob15
  3. net_eng_anika14
  4. eng_satoshi13
  5. eng_alex13
  6. tech_mike9
  7. tech_jane8
  8. maint_team_11
  9. maint_team_ravi1
  10. maint_team_sam1
22 columns by typefrom the column list below
  • string 18
  • integer 2
  • datetime 1
  • boolean 1

Columns

22 columns in four groups
blueprint · 22 columns
columntypedescriptionexample
Text 18 columns
alert_idstringUnique identifier for each IoT alert event.uniqueALRT-0001
data_center_idstringUnique identifier for the data center where the alert originated.8 centersDC-NYC-01
data_center_namestringHuman-readable name of the data center.optionalNew York Central DC
data_center_location_citystringCity where the data center is located.8 cities · optionalNew York
data_center_location_statestringState or region where the data center is located.11 states · optionalNY
data_center_location_countrystringCountry where the data center is located.7 countries · optionalUS
device_idstringUnique identifier for the IoT device that generated the alert.DV-SEN-101
device_typestringType or category of the IoT device (e.g., sensor, camera, server).5 typessensor
device_modelstringModel or version of the IoT device.12 models · optionalTempSense-X100
device_firmware_versionstringFirmware version running on the IoT device.optionalv2.3.1
alert_typestringCategory of the alert (e.g., device_health, security, maintenance, connectivity).6 valuesdevice_health
alert_severitystringSeverity level of the alert.critical · high · medium · low · infohigh
alert_statusstringCurrent status of the alert (e.g., new, acknowledged, resolved, escalated).new · acknowledged · resolved · escalatednew
alert_descriptionstringDetailed description of the alert event.optionalTemperature sensor report…
detected_bystringSource or system that detected the alert (e.g., monitoring_tool, device_agent).3 values · optionaldevice_agent
assigned_tostringUser ID or team responsible for handling the alert.optionalsec_ops_team
resolution_notesstringNotes or comments regarding the resolution of the alert.optionalRoutine server maintenanc…
related_ticket_idstringReference to an external incident or ticketing system ID, if applicable.optionalTCK-3831
Numbers 2 columns
time_to_acknowledge_minutesintegerTime in minutes taken to acknowledge the alert.0 or more · optional3
time_to_resolve_minutesintegerTime in minutes taken to resolve the alert.0 or more · optional54
Dates and times 1 column
alert_timestampdatetimeDate and time when the alert was generated.2022-01-01T02:15:31Z
True or false 1 column
is_escalatedbooleanIndicates if the alert was escalated for further action.optionalfalse

Use it for

  • is escalated30%36 of 120 rowsmean time to acknowle…3.5crit…7.5high15.7medi…19.3low

    A technology dashboard

    The is_escalated rate, time_to_acknowledge_minutes by alert_severity and a breakdown of assigned_to. Excel, Power BI or Tableau.

  • Why do 36 of 120 rows have is_escalated = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable alerts with alert_timestamp, data_center_id and data_center_name to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 22 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset120 rows22 columns
Yours1,000 rows22 columnsdata_center_location_city: UK only

blueprint · social-media-data-center-iot-alerts

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 22 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Each alert must include device ID, timestamp, severity, and alert type
  • Severity levels categorized as: low, medium, high, critical
  • Alerts flagged as 'security' require immediate IT escalation
  • Devices reporting repeated faults (>3 in 24h) trigger maintenance recommendation
  • Alert types mapped to predefined operational categories (network, power, security, hardware)
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
social-media-data-center-iot-alerts

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