Date of Publication :8th August 2024

Abstract:In today’s fast-placed digital world, ensuring the smooth operation of critical applications has become more impor- tant than ever before. With increase in user expectations and ever- increasing competition, even minor downtime or performance issues can lead to significant losses in revenue, reputation and customer trust. To prevent such outcomes, organizations must proactively monitor their applications and detect potential issues before they impact users. Application monitoring involves con- tinuously tracking various metrics associated with application’s performance and availability. Traditional monitoring approaches mainly include relying on manually checking the system and periodic reporting which can be time consuming, error-prone and reactive. In contrast, modern monitoring tools leverage au- tomation, machine learning, and real-time analytics to enable faster detection, diagnosis, and resolution of issues. Prometheus and Grafana are two popular open-source tools that have gained widespread adoption in recent years for application monitoring purposes. Prometheus is a powerful metric collection and query engine that enables organizations to capture granular data about application behavior and infrastructure health. Grafana, on the other hand, is a flexible visualization platform that allows users to create custom dashboards, alerts, and reports based on Prometheus (and other) data sources.

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