CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866908477354409984 |
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| author | Sohana, Sarah Pourmajidi, William Steinbacher, John Miranskyy, Andriy |
| author_facet | Sohana, Sarah Pourmajidi, William Steinbacher, John Miranskyy, Andriy |
| contents | Cloud computing is essential for modern enterprises, requiring robust tools to monitor and manage Large-Scale Cloud Systems (LCS). Traditional monitoring tools often miss critical insights due to the complexity and volume of LCS telemetry data. This paper presents CloudHeatMap, a novel heatmap-based visualization tool for near-real-time monitoring of LCS health. It offers intuitive visualizations of key metrics, such as call volumes and response times, enabling operators to quickly identify performance issues. A case study on the IBM Cloud Console demonstrates the tool's effectiveness in enhancing operational monitoring and decision-making. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_21092 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems Sohana, Sarah Pourmajidi, William Steinbacher, John Miranskyy, Andriy Distributed, Parallel, and Cluster Computing Software Engineering Cloud computing is essential for modern enterprises, requiring robust tools to monitor and manage Large-Scale Cloud Systems (LCS). Traditional monitoring tools often miss critical insights due to the complexity and volume of LCS telemetry data. This paper presents CloudHeatMap, a novel heatmap-based visualization tool for near-real-time monitoring of LCS health. It offers intuitive visualizations of key metrics, such as call volumes and response times, enabling operators to quickly identify performance issues. A case study on the IBM Cloud Console demonstrates the tool's effectiveness in enhancing operational monitoring and decision-making. |
| title | CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems |
| topic | Distributed, Parallel, and Cluster Computing Software Engineering |
| url | https://arxiv.org/abs/2410.21092 |