Queue Historical
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Enterprise DLP

Queue Historical

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Queue Historical

View the Queue Historical dashboard to analyze Email DLP queue depth trends and per-stage dwell times across selectable time windows from real time to 30 days.
  1. Log in to Strata Cloud Manager.
  2. Select ConfigurationSaaS SecurityData SecurityDashboard and choose Email DLP.
  3. Select Queue Historical.
  4. Choose a time window to set the scope of the Queue Historical Dashboard and Dwell Time by Stage.
    • Real Time—Live queue depth sampled at short intervals.
    • Last 15 min, Last 30 min, Last 1 hour, Last 3 hours—Recent operational windows for active troubleshooting.
    • Last 12 hours, Last 24 hours, Last 2 days—Day-scale operational windows for post-incident review.
    • Last 7 days, Last 30 days—Trend windows for identifying recurring patterns or capacity growth.
  5. Review the Queue Historical Dashboard to identify when queue depth increased and which stages were affected.
    The chart plots time on the x-axis and message count on the y-axis. The Delivery Pending stage is displayed as a stacked step line that separates Deferred and Delayed sub-components so you can distinguish messages actively awaiting retry from those that have already generated delay notifications. Scan Pending is plotted as a separate step line.
    Use the Avg / P95 toggle in the upper-right corner of the chart to switch between average queue depth and 95th-percentile depth for the selected time window.
  6. Review the Dwell Time by Stage metrics for the selected time window to understand how long messages spent in each pipeline stage.
    The Dwell Time by Stage section shows a widget for each pipeline stage: Scan Pending Queue, Delivery Pending Queue, Delivery Pending - Deferred, and Delivery Pending - Delayed. Each card shows average dwell time (seconds) and P95 dwell time for the selected window.
    Average dwell time reflects typical processing speed per stage. P95 dwell time surfaces the slowest 5 percent of messages and is a stronger indicator of user-visible delay than the average.