BigPanda vs. Selector Analytics

If the organization has a proper CMDB asset record then BigPanda features can be utilized to their true potential as it has alert correlation capability. The alert can be redirected to the proper support team using the auto-share feature. This wouldn't be the case where asset records are not updated and the Operations have to manually assign the alerts to support groups.

Incentivized

Selector Analytics has proven very useful for our SRE and DevOps teams. It addresses our concern of being able to monitor network health and gives good analytics for our needs. It also helps with problem identification quickly so that we can resolve any potential issues. Getting an idea of network health allows us to identify potential problems beforehand, and we can take measures to fix them.

Incentivized

• Alert correlation feature helps in grouping similar alerts together
• Alert Enrichment to enhance the data after it arrives on the tool
• Integration with multiple tools
• The console is very user friendly and provides ease of administration

Incentivized

• Network Health Monitoring.
• Realtime Actionable Insights.
• Identifying ways to fix problems.

Incentivized

• Tool should have a feature to query the data
• The dashboard feature needs improvement
• It should have a dark mode

Incentivized

• Dashboard Customizations would be good to have.
• Integration with tools such as Slack.

Incentivized

TrueSight didn't provide many customization options. The features provided were primitive as compared to BigPanda. TrueSight was being used just for alert visibility and assignment to a proper support group from a single console. Although Moogsoft had similar features as compared to BigPanda, the user administration and ease of use were a bit complicated. BigPanda provides a much simpler user interface.

Incentivized

• BIgPanda is very easy to implement and use
• Better than the previous tool, provides more functionality
• BIgPanda's alert enrichment feature very helpful

Incentivized

• Helped us identify problems faster.
• Insights to identify ways to prevent future problems.
• Helps us resolve problems faster.
• Reduced our server costs - as we know when to scale up and when to scale down.

Incentivized