3.2.3.1 Events

Figure 3-12 Events


This image illustrates events

3.2.3.1.1 Identify databases with the highest number of error events

Purpose: Identify the databases having the maximum number of error events.

3.2.3.1.2 Identify clusters with the highest number of error events

Purpose: Identify the clusters having the maximum number of error events.

3.2.3.1.3 Drill-down flow

Figure 3-13 Events drill-down flow


This image illustrates events drill-down flow

3.2.3.1.3.1 Investigate a specific error event

Purpose:
  • Find the error that occurred the most and apply it as a filter.
  • In the drill-down page, check if there is a spike of occurrence of this event on the timeline chart.
  • Filter the hosts on which this event occurred the most.
  • Filter the databases on which this event occurred the most.
  • Once the filters are applied, pinpoint the insight reports which can be used to further investigate the event.

3.2.3.1.3.2 Find the most recent events across the fleet

Purpose:
  • Observe if the new issues occur after a system update.
  • Filter by time.
  • Monitor events between the last system update and now.

3.2.3.1.3.3 Identify anomalies among certain clusters/hosts

Purpose:
  • Analyze if it is more prevalent on certain clusters/hosts.
  • Analyze if it is more prevalent on certain databases.
  • Filter and go to the corresponding insight report for more granular analysis.