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You have an Azure subscription that contains an Azure Stream Analytics job named Job1.
You need to monitor input events for Job1 to identify the number of events that were NOT processed.
Which metric should you use?
Backlogged Input Events is a metric that shows the number of input events that are waiting to be processed by the Stream Analytics job1. This metric indicates the performance and health of the job, as well as the input data rate and latency.If the Backlogged Input Events metric is high or increasing, it means that the job is not able to keep up with the incoming events and some events are not processed in a timely manner2.
Output Events is a metric that shows the number of output events that are emitted by the Stream Analytics job1. This metric indicates the output data rate and throughput of the job. It does not show how many input events were not processed by the job.
Out-of-Order Events is a metric that shows the number of input events that arrive out of order based on their timestamp1. This metric indicates the quality and consistency of the input data source. It does not show how many input events were not processed by the job.
Late Input Events is a metric that shows the number of input events that arrive after the late arrival window has expired1. This metric indicates the timeliness and reliability of the input data source. It does not show how many input events were not processed by the job.