Which feature of Datadog is primarily used to visualize application performance?

Dashboards are a key feature of Datadog that enables users to visualize application performance effectively. They allow teams to create custom views that consolidate various metrics, events, and logs into a single interface. This makes it easier to monitor and analyze the performance of applications in real-time. Users can leverage different widgets such as graphs, heat maps, and time series to represent data visually, providing insights into key performance indicators (KPIs) and helping teams to quickly identify issues or trends in application behavior.

Dashboards can be tailored to specific needs by combining different data sources, creating a comprehensive overview that aids in decision-making and performance optimization. This visualization capability is crucial for understanding how applications behave under different loads, how they interact with other services, and where improvements can be made.

While alerts are critical for notifying teams about performance issues, and logs provide a detailed record of events that can be analyzed, they do not offer the same level of visual insight into application performance that dashboards do. Integrations help connect Datadog with other tools and platforms, enhancing its functionality but are not focused on visualizing performance.