2 results found

1. Granular Monitoring for Individual Azure Storage Services

   As a Cloud Infrastructure Manager,
   I want the ability to monitor individual storage services (Blob, File, Queue, Table) within an Azure Storage Account separately, in addition to the overall account-level metrics,
   so that I can set specific alerts and thresholds for each storage type, quickly identify which specific storage service is experiencing issues, and ensure more effective and targeted monitoring of my Azure storage infrastructure.

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   Under Review  ·  AdminIsidora Jeremic (Admin, Paessler) responded

2. Adaptive Sensor Scanning Intervals Based on Threshold Breaches

   As a Systems Engineer managing critical infrastructure, I want sensors to automatically switch to a higher sampling rate (down sampling interval) when a predefined threshold is exceeded, and revert to normal interval once the condition clears. This feature could be optionally combined with the existing "Unusual Detection" capability for intelligent, context-aware monitoring.

   Currently, PRTG sensors operate at a fixed scanning interval regardless of the monitored value's state. This means that during critical events (threshold breaches, performance degradation, outages), we capture data at the same granularity as during normal operations—missing valuable diagnostic information precisely when we need it most.

   Proposed behavior:

   When a sensor value crosses a defined warning or error threshold, the sensor automatically reduces its scanning interval (e.g., from 5 minutes to 30 seconds)
   Once the value returns to normal for a configurable stabilization period, the sensor reverts to its standard interval

   Optional integration with Unusual Detection: trigger high-frequency sampling when anomalous patterns are detected, even before thresholds are breached

   Benefits:

   Better incident diagnostics: High-resolution data during incidents enables precise root cause analysis

   Resource optimization: Conserve system resources and storage during normal operations while ensuring detailed capture when it matters

   Proactive monitoring: Combined with Unusual Detection, catch emerging issues with granular data before they escalate

   Reduced MTTR: More data points during incidents accelerate troubleshooting and resolution

   As a Systems Engineer managing critical infrastructure, I want sensors to automatically switch to a higher sampling rate (down sampling interval) when a predefined threshold is exceeded, and revert to normal interval once the condition clears. This feature could be optionally combined with the existing "Unusual Detection" capability for intelligent, context-aware monitoring.

   Currently, PRTG sensors operate at a fixed scanning interval regardless of the monitored value's state. This means that during critical events (threshold breaches, performance degradation, outages), we capture data at the same granularity as during normal operations—missing valuable diagnostic information precisely when we need it most.

   Proposed behavior:

   … more

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   Under Review  ·  AdminIsidora Jeremic (Admin, Paessler) responded