MIDAOPS03-BP02 Implement real-time monitoring and alerting capabilities
Establish comprehensive monitoring of your industrial data infrastructure with automated alerts to quickly identify and respond to operational issues before they impact manufacturing processes. Configure appropriate thresholds and notification channels to quickly alert the right teams about system health, data quality, and performance anomalies.
Desired outcome: Your organization has established a clear, quantifiable understanding of industrial data workload performance through well-defined metrics and KPIs that align with business objectives and operational requirements.
Benefits of establishing this best practice: Monitoring and alerting capabilities allow the manufacturing team to quickly identify issues or impending problems that could impact production, quality, or maintenance.
Level of risk exposed if this best practice is not established: High
Implementation guidance
Develop and implement a comprehensive metrics monitoring framework that captures both technical and business aspects of your industrial data workload.
Implementation steps
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Use AWS IoT Greengrass for device software to collect, process, and export data streams, including when devices are offline. It can act as an industrial data gateway between the shop floor and your AWS environment.
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For pre-built industrial connectors, implement the AWS Shop Floor Connectivity (SFC)
open-source solution either as a stand-alone application or as an AWS IoT Greengrass component. SFC is a data ingestion enabler that delivers customizable greenfield and brownfield connectivity solutions. It addresses limitations and unifies data collection from existing IoT data collection services, allowing customers to consistently collect data from equipment across different vendors for use with various AWS services. -
Consider AWS IoT SiteWise to collect data from disparate data sources using OPCUA and MQTT connectors. AWS IoT SiteWise Monitor provides near real-time dashboard visualization of your key metrics and can be configured for alerting workflows.
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Use Amazon Managed Grafana to deliver integrated live dashboards for monitoring your production KPIs, operations, machine status, and alerts. The dashboards can use Grafana's native data source connectors to visualize data from multiple AWS services, including AWS IoT SiteWise, Amazon Timestream, Amazon RDS, and Amazon Aurora. This provides a unified visualization layer for your industrial data, enabling real-time monitoring and analysis of your manufacturing operations.
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Configure custom Amazon CloudWatch dashboards and alarms to track critical metrics, such as data ingestion rates and latency resource utilization (like CPU, memory, and storage) for edge gateways and cloud services, anomalies or deviations in key operational KPIs, security events and access patterns.
Key AWS services
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Amazon CloudWatch
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Amazon Managed Grafana
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AWS IoT Greengrass
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AWS IoT SiteWise
Resources
Related documents:
