Network performance monitoring is essential for cloud operations teams to manage application and infrastructure performance across multicloud and hybrid cloud environments. Despite the widespread adoption of various monitoring tools, organizations struggle with network-related issues due to the complexity introduced by numerous applications, services, and interdependencies. As network traffic increases, largely driven by hybrid and multi-cloud architectures, organizations are investing more in network visibility tools, yet often maintain multiple, siloed tools that fail to provide a comprehensive view of network activity. Effective observability requires unifying data streams, topological mapping of cloud entities, and automation to analyze vast amounts of data and identify root causes of issues. Dynatrace offers solutions such as the Dynatrace Grail data lakehouse and Smartscape topological mapping, integrating with partners like Gigamon to enhance network traffic insights. The use of causal AI, like Dynatrace's Davis, further aids in automating data analysis and providing contextual insights, enabling teams to maintain service levels and address network performance issues efficiently.