Cloud Observability: A Framework for Modern Cloud Architecture

Abstract

This research investigates the effectiveness of cloud observability tools in improving the performance and reliability of cloud applications. A key challenge is the limited understanding of how these tools affect system metrics and user experience under diverse operating conditions. This study addresses this gap by collecting and analyzing quantitative performance data, user interaction logs, and incident reports from multiple cloud environments. The findings demonstrate that cloud observability tools not only enhance application performance metrics but also improve user satisfaction by reducing latency and downtime. More broadly, this research suggests that improved cloud observability can lead to greater reliability in digital services across various sectors, increasing user trust and encouraging cloud technology adoption. By demonstrating the tangible benefits of these tools, this study provides valuable recommendations for organizations seeking to leverage cloud solutions for enhanced service delivery, contributing to better outcomes and greater operational resilience in a digital world.

This paper presents a technology reference framework for implementing observability. The framework outlines the key functional technology areas that need to be considered for creating actionable feedback loops that use telemetry data for data center and cloud deployments. The technology framework can be used as guiding reference for evaluating and optimizing existing monitoring architectures and implementing new observability solutions.