Blog: Using Prometheus in Node-RED for monitoring #2651
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Hasmin-AC
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Oct 8, 2024
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| Prometheus is a cutting-edge open-source monitoring and alerting toolkit that empowers organizations to gain real-time insights into their systems and applications. Designed for efficient handling of time series data, Prometheus captures critical metrics, organizes them, and stores them alongside timestamps, enabling you to track performance and identify issues as they arise. | ||
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| With its unique ability to scrape metrics from various HTTP endpoints, Prometheus transforms raw data into actionable insights, allowing teams to seamlessly monitor everything from CPU usage to request counts. However, it is essential to note that Prometheus stores this data in memory. While this design provides quick access to metrics for real-time monitoring, there may be better options for long-term storage. |
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Can you provide some examples of the better options?
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| ### Key Concepts and Components of Prometheus | ||
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| Understanding some fundamental concepts will enhance your ability to utilize Prometheus effectively: |
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Before we get started here are some essential Prometheus concepts you need to know:
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| ## Conclusion | ||
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| In this guide, we covered the fundamentals of Prometheus, starting with its role as a robust monitoring and alerting toolkit. We explored the installation process, ensuring you can effectively set up Prometheus on your system. Then, we demonstrated how to integrate Prometheus with Node-RED for sending and receiving metrics and a practical example of monitoring CPU usage. This setup can be easily extended to track various metrics, providing a holistic view of your system's performance. |
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| In this guide, we covered the fundamentals of Prometheus, starting with its role as a robust monitoring and alerting toolkit. We explored the installation process, ensuring you can effectively set up Prometheus on your system. Then, we demonstrated how to integrate Prometheus with Node-RED for sending and receiving metrics and a practical example of monitoring CPU usage. This setup can be easily extended to track various metrics, providing a holistic view of your system's performance. | |
| We covered the fundamentals of Prometheus, starting with its role as a robust monitoring and alerting toolkit. We explored the installation process, ensuring you can effectively set up Prometheus on your system. Then, we demonstrated how to integrate Prometheus with Node-RED for sending and receiving metrics and a practical example of monitoring CPU usage. This setup can be easily extended to track various metrics, providing a holistic view of your system's performance. |
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| Now that you've learned how to build a Prometheus dashboard and run basic queries refer to the [Prometheus API documentation](https://prometheus.io/docs/prometheus/latest/querying/api/) for more advanced queries. | ||
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| ## Conclusion |
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| ## Conclusion | |
| ## Summary |
ZJvandeWeg
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Oct 9, 2024
| description: Learn to integrate Prometheus with Node-RED for monitoring and exporting metrics and create dashboards to visualize them. | ||
| date: 2024-10-12 | ||
| authors: ["sumit-shinde"] | ||
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| - system monitoring using prometheus | ||
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| Prometheus is a popular tool for monitoring and collecting system metrics. It helps you track server performance, resource usage, and application health. It’s widely used in various applications, including IoT, where it can monitor data such as temperature and humidity. By collecting these metrics, you can gain valuable insights into your systems and ensure they run smoothly. |
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| Prometheus is a popular tool for monitoring and collecting system metrics. It helps you track server performance, resource usage, and application health. It’s widely used in various applications, including IoT, where it can monitor data such as temperature and humidity. By collecting these metrics, you can gain valuable insights into your systems and ensure they run smoothly. | |
| Prometheus is a popular tool for monitoring and collecting server metrics. It helps you track performance, resource usage, and application health. By collecting these metrics, you can gain valuable insights into your systems and ensure they run smoothly. |
I've not seen widespread use at all, it's not really well suited for IoT either. What's the source?
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