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LSREL11-BP01 Implement monitoring of equipment telemetry to detect anomalies - Life Sciences Lens
Implementation guidanceResources

LSREL11-BP01 Implement monitoring of equipment telemetry to detect anomalies

Capture equipment telemetry such as temperature, vibration, cycle counts, and error codes in real time to identify anomalies early. A consistent telemetry pipeline enables proactive monitoring, alerts, and traceability of equipment performance across research facilities.

Desired outcome:

  • Continuous monitoring of lab equipment to detect anomalies early.

  • Reduced risk of unplanned downtime through proactive alerts.

  • Complete telemetry records available for troubleshooting and audits.

Common anti-patterns:

  • Not collecting or collecting telemetry data inconsistently.

  • Storing telemetry without time-stamping or contextual metadata.

  • Failing to establish thresholds or alerts on critical parameters.

Benefits of establishing this best practice:

  • Improves reliability of experiments through early detection of issues.

  • Enables root cause analysis and reproducibility through equipment performance records.

  • Supports regulatory adherence by providing traceable operational logs.

Level of risk exposed if this best practice is not established: Medium

Implementation guidance

A resilient telemetry strategy requires secure, standardized pipelines for collection and long-term storage. Verify that your data includes time stamps and contextual metadata to support traceability. Integrate alerts with incident response processes for timely remediation. Preserve telemetry records for audits and long-term performance analysis.

Implementation steps

  1. Deploy AWS IoT Greengrass to capture telemetry locally and preprocess sensitive data at the lab site.

  2. Stream telemetry securely into AWS IoT Core for ingestion.

  3. Store data in Amazon Timestream for time-series analysis or Amazon S3 for long-term archival.

  4. Configure anomaly detection with Amazon CloudWatch Alarms and notify research operations teams through Amazon SNS.

  5. Provide researchers with performance dashboards using Quick for visualization.

Resources

Related best practices:

  • Incident detection and alerting

  • Data integrity and traceability for regulated environments

  • Root cause analysis frameworks