Unified Observability for Multi-Cloud Deployments: Leveraging AppDynamics and ThousandEyes for End-to-End Visibility
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Abstract
As companies increasingly implement multi-cloud infrastructures, performance monitoring between cloud platforms and on-premise infrastructure has become significantly more complex. Traditional monitoring solutions are lacking in providing the end-to-end, overall visibility necessary to ensure optimum application and network performance in such distributed environments. The research goal of this study is to address the gap in unified observability for multi-cloud deployments by examining the correlation of two best-of-breed application performance management (APM) and network performance monitoring (NPM) tools, AppDynamics and ThousandEyes. AppDynamics, which is known for its APM features, is best at monitoring transactions and detecting performance problems on the application level. Alternatively, ThousandEyes is an NPM specialist providing visibility into the health of communications within cloud environments and between cloud and on-premise environments. Although the benefits provided by these individual tools are significant, a large gap still remains in correlating application and network data to conduct end-to-end performance analysis, especially in global multi-cloud systems. This study explores the ways in which the combination of AppDynamics and ThousandEyes can help create a shared observability solution for organizations to observe application behavior and network performance in real-time. By filling the gap between application-level and network-level data, the methodology provides faster root cause analysis speed, better security monitoring, pre-emptive detection of problems, and cost savings. This study hopes to provide insights that would result in a better and effective monitoring solution addressing the increasing demand for end-to-end visibility for complex multi-cloud setups. Finally, this study hopes to help organizations empower themselves with the ability to provide performance, reliability, and security to multi-cloud infrastructures
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