Continuous profiling is transforming how developers monitor and optimize software performance by enabling non-stop, low-overhead data collection on application behavior in production environments. Unlike traditional profiling methods that were time-consuming and resource-intensive, continuous profiling integrates seamlessly with other telemetry data, such as metrics, logs, and traces, offering a comprehensive view of application performance. This approach helps teams quickly diagnose and resolve issues, improve release velocity, and enhance the customer experience. Its adoption is gaining momentum, with OpenTelemetry recognizing it as a critical observability signal alongside metrics, logs, and tracing. Companies like Datadog have leveraged continuous profiling to achieve significant cost savings and operational efficiencies, underscoring its value as an essential tool in today's competitive software landscape.