Splunk Infrastructure Monitoring Review
May 02, 2021

Splunk Infrastructure Monitoring Review

Imnet Worku Edossa | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Software Version

SignalFx Infrastructure Monitoring

Overall Satisfaction with Splunk Infrastructure Monitoring (formerly SignalFx)

[Splunk Infrastructure Monitoring (formerly SignalFx)] is being used across the entire organization for many purposes such as continuous monitoring of cloud resources and application statuses. It addresses business problems that require us to get timely notifications for events occurring within our infrastructure and address them accordingly. In my own department, our continuous monitoring tools rely on SFX reports.

Pros

  • Resource utilisation metrics
  • Continuous data sent from within applications
  • Integration with 3rd party tools to trigger on-call notification alerts

Cons

  • I'd say better advice on how best organizations can tailor it to suit their needs
  • I've seen newcomers face a steeper learning curve, and hence better documentation
  • I'm not a big fan of how active/inactive metrics can be told apart
  • Improved response to potential issues in production
  • Improved monitoring details
  • Reliable metrics

Do you think Splunk Infrastructure Monitoring delivers good value for the price?

Yes

Are you happy with Splunk Infrastructure Monitoring's feature set?

Yes

Did Splunk Infrastructure Monitoring live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Splunk Infrastructure Monitoring go as expected?

I wasn't involved with the implementation phase

Would you buy Splunk Infrastructure Monitoring again?

Yes

For monitoring cloud resources, such as instances, containers, pods, CPU utilization and the like, Splunk Infrastructure Monitoring [(formerly SignalFx)] is very well suited. For instantaneous notifications for events that require intervention, it is also pretty well suited. I'd say it is less appropriate for logging though, whereby historical data is used to trace bugs and issues in code.

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