Examples of RidgeRun GStreamer Analytics
This section provides concrete use cases that demonstrate how RidgeRun GStreamer Analytics can be applied to address real-world challenges. Each example highlights a different scenario and shows how the platform’s metrics, logging, and visualization capabilities can be used to streamline the debugging and optimization of GStreamer-based systems.
The structure of this section is as follows:
In the Synchronization Debug example, a live pipeline is configured to drop buffers due to synchronization delays. Through remote debug logging displayed in Grafana Drilldown, engineers are able to filter logs by process, pipeline, or category and quickly identify “buffer is too late” events. These logs can then be correlated with pipeline latency and jitter metrics, making synchronization issues easier to pinpoint.
The Heavy Processing Monitoring example illustrates how a CPU and memory-intensive pipeline drives system resources toward saturation. Grafana dashboards clearly display the impact on throughput by showing changes in FPS and bitrate metrics. These views provide evidence that CPU overload leads directly to degraded pipeline performance and instability.
The System Failure Debug example demonstrates the behavior of a pipeline that terminates unexpectedly using error injection, simulating a crash or system fault. Remote logs capture the error messages in Grafana Drilldown, while the circular logging mechanism on the device ensures the last runtime messages are preserved across rotating files. This design ensures that engineers retain access to the crucial final context, even when connectivity is lost or part of the logging data becomes corrupted.