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How to Integrate SAP Leonardo with Grafana

January 24, 2025

Discover step-by-step instructions to seamlessly connect SAP Leonardo with Grafana, enhancing your data visualization and analytics capabilities effortlessly.

How to Connect SAP Leonardo to Grafana: a Simple Guide

 

Set Up SAP Leonardo Environment

 

  • Ensure you have access to the SAP Cloud Platform and that SAP Leonardo services are enabled in your environment.

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  • Configure and deploy your IoT or machine learning models on the SAP Leonardo platform as required for integration with Grafana.

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  • Generate the necessary API keys for accessing SAP Leonardo services.

 

Install Grafana

 

  • Download and install Grafana using a package manager or the official Grafana website.

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  • Start the Grafana server using the following command:

 

systemctl start grafana-server

 

  • Ensure Grafana starts automatically at boot by enabling it:

 

systemctl enable grafana-server

 

Configure SAP Leonardo Data Source in Grafana

 

  • Log in to your Grafana dashboard using your browser. The default URL is usually http://localhost:3000.

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  • Navigate to the 'Data Sources' section and click on 'Add data source'.

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  • Choose 'HTTP' as the data source type since SAP Leonardo can expose data through RESTful APIs.

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  • Under the URL section, insert the endpoint URL of your SAP Leonardo API.

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  • Set the authentication type according to your SAP Leonardo setup (e.g., API Key, OAuth, etc.). Enter the required credentials or API key.

 

Create a Dashboard in Grafana

 

  • Start by clicking on the '+' icon on the sidebar and choose 'Dashboard'.

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  • Select 'Add New Panel' to create a new visualization for your SAP Leonardo data.

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  • Choose a suitable visualization type based on the nature of the data (e.g., graph, table, heatmap).

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  • In the Query section, construct a query to fetch the necessary data from SAP Leonardo API. Example:

 

GET /iot/data HTTP/1.1
Host: your-sap-leonardo-api-endpoint
Authorization: Bearer your-api-token

 

  • Use transformation functions provided by Grafana if you need to process data before visualization.

 

Test and Validate Integration

 

  • Review the initial data visualizations on your Grafana dashboard to ensure data is being correctly reflected from SAP Leonardo.

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  • If any data discrepancies or errors are found, recheck connections, API endpoints, and authentication details.

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  • Iterate over dashboard improvements by customizing panels, using different queries, and applying alerts if necessary.

 

Enhance with Advanced Features

 

  • Utilize Grafana's alerting feature to receive notifications based on data thresholds from SAP Leonardo services.

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  • Configure additional data sources, if required, to combine SAP Leonardo data with other sources for a comprehensive dashboard.

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  • Use filters and variables to create dynamic dashboards that are easy to navigate and tailor to different use cases.

 

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How to Use SAP Leonardo with Grafana: Usecases

 

Integrated Predictive Maintenance System

 

  • Introduction to Use Case: In modern industrial operations, predictive maintenance is crucial for minimizing downtime and reducing costs. Leveraging SAP Leonardo, an IoT and machine learning platform, along with Grafana, a visualization and monitoring tool, can provide a comprehensive solution for predictive maintenance by integrating automated analytics with real-time visualization.

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  • Data Collection with SAP Leonardo: Utilize SAP Leonardo's IoT capabilities to collect data from various sensors attached to critical machinery. This data includes temperature, vibration, and operational status.

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  • Data Processing: Implement machine learning models within SAP Leonardo to process the collected data. These models predict potential failures and maintenance needs by analyzing patterns and deviations in the sensor data.

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  • Real-Time Monitoring: Use SAP Leonardo's real-time analytics to continuously monitor machine conditions and send alerts for any anomalies detected by the machine learning models. This ensures timely intervention before failures occur.

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  • Data Visualization with Grafana: Integrate Grafana to visualize the data processed by SAP Leonardo. Grafana's customizable dashboards can display real-time updates, historical trends, and predictive insights from the machine learning models.

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  • Benefits of Integration:
    • Improved Decision Making: Combining predictive analytics with rich, accessible visualizations enhances decision-making capabilities for operations managers.
    • Reduced Downtime: Predictive maintenance minimizes unscheduled downtimes by forecasting potential failures and suggesting timely maintenance tasks.
    • Cost Efficiency: Lower maintenance costs due to more efficient scheduling and reduced unnecessary inspections or replacements.

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  • Technical Environment:
    • Deploy SAP Leonardo on cloud infrastructure for scalable data processing and analysis.
    • Set up Grafana on-premises or in the cloud, connected to SAP Leonardo's output data sources for seamless visualization.

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  • Conclusion: The combination of SAP Leonardo's advanced data analytics with Grafana's intuitive visualization capabilities offers a robust solution for predictive maintenance. This setup enhances operational efficiency, reduces costs, and improves overall equipment effectiveness.

 

grafana-cli plugins install my-plugin

 

 

Smart Energy Management System

 

  • Introduction to Use Case: In contemporary energy management, optimizing energy consumption while ensuring sustainability is pivotal. By leveraging SAP Leonardo's capabilities for data gathering and machine learning, coupled with Grafana's superior visualization tools, organizations can implement an effective energy management system. This solution aids in monitoring, analyzing, and optimizing energy usage to achieve cost savings and sustainability goals.

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  • Data Collection with SAP Leonardo: Utilize SAP Leonardo to connect to smart meters and IoT sensors across facilities to gather data on energy usage, generation, and distribution. This data includes metrics such as real-time energy consumption, peak loads, and energy flow across different departments.

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  • Data Processing: Implement machine learning algorithms in SAP Leonardo to analyze the energy data. These algorithms can detect patterns, identify inefficiencies, and predict future energy consumption based on historical data and external factors such as weather conditions.

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  • Real-Time Monitoring: Leverage SAP Leonardo’s real-time analytics to observe energy consumption and efficiency metrics on-the-fly. Alerts can be configured to notify facility managers when energy usage exceeds predefined thresholds, facilitating immediate corrective action.

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  • Data Visualization with Grafana: Integrate Grafana to construct comprehensive dashboards that visualize energy consumption statistics, patterns, and predictions generated by SAP Leonardo’s analytics. Grafana allows for interactive and customizable dashboards, offering vivid insights into energy data across multiple time frames and operational contexts.

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  • Benefits of Integration:
    • Enhanced Energy Efficiency: The integration allows for continuous monitoring and immediate insights into energy usage, facilitating timely interventions for increased efficiency.
    • Lower Operating Costs: By identifying and correcting inefficiencies, organizations can significantly reduce their energy costs over time.
    • Improved Sustainability: The system promotes sustainable energy consumption practices by optimizing energy usage and reducing waste.

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  • Technical Environment:
    • Deploy SAP Leonardo on a robust cloud platform designed for big data processing and machine learning, ensuring scalability and flexibility.
    • Host Grafana either in the cloud or on-premises, ensuring it’s securely connected to SAP Leonardo's processed data outputs for effective visualization.

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  • Conclusion: Integrating SAP Leonardo with Grafana creates a potent energy management system that not only optimizes energy consumption but also enhances sustainability and reduces costs. This synergy provides actionable insights, facilitating informed decisions that lead to significant operational and environmental benefits.

 

grafana-cli plugins install energy-monitoring-plugin

 

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