Formula 1 teams leverage real-time analytics to gain critical insights and make data-driven decisions during races, with a significant role played by Azure Data Explorer (ADX) and Grafana Cloud. Anshul Sharma, a Senior Product Manager at Microsoft, highlighted the importance of telemetry data in F1, where cars equipped with 300 sensors generate 1.1 million data points per second, translating to 160 TB per race. This data is crucial for optimizing car performance, detecting issues, and making in-race adjustments. In his presentation at GrafanaCONline, Sharma demonstrated how telemetry data from a simulated F1 race can be processed and visualized using ADX for analytics and Grafana for advanced dashboards, enabling teams to monitor metrics like tire wear and engine temperature in near real-time. The integration of ADX with Grafana allows for seamless data visualization through a user-friendly interface, supporting interactive queries at petabyte scale. This analytics stack, which can be applied beyond F1 to industries like retail and finance, enables high availability and minimal latency by deploying Grafana Cloud in the same Azure region as ADX.