CloudHeatMap: Heatmap-Based Monitoring for Large-Scale Cloud Systems

TL;DR

CloudHeatMap introduces a heatmap visualization tool that enhances real-time monitoring of large-scale cloud systems, enabling quick identification of performance issues through intuitive visualizations of key metrics.

Contribution

The paper presents CloudHeatMap, a novel heatmap-based visualization approach specifically designed for monitoring the health of large-scale cloud systems in near-real-time.

Findings

Improves detection of performance issues in LCS

Enhances operational decision-making

Proven effectiveness in IBM Cloud case study

Abstract

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.