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Update stream-analytics-solution-patterns.md
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articles/stream-analytics/stream-analytics-solution-patterns.md

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@@ -117,7 +117,7 @@ There are two key things to monitor:
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First and foremost, you need to make sure the job is running. Without the job in the running state, no new metrics or logs are generated. Jobs can change to a failed state for various reasons, including having a high SU utilization level (that is, running out of resources).
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- [Watermark delay metrics](https://azure.microsoft.com/de-de/blog/new-metric-in-azure-stream-analytics-tracks-latency-of-your-streaming-pipeline/)
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- [Watermark delay metrics](./stream-analytics-job-analysis-with-metric-dimensions.md)
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This metric reflects how far behind your processing pipeline is in wall clock time (seconds). Some of the delay is attributed to the inherent processing logic. As a result, monitoring the increasing trend is much more important than monitoring the absolute value. The steady state delay should be addressed by your application design, not by monitoring or alerts.
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