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A peek into IBM Watson AIOps.
September 15, 2022

A peek into IBM Watson AIOps.

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson AIOps

We leverage IBM Watson AIOps to do two primary functions, assist in our IT Asset Management and ensure that our application scaling (up and down) is fully automated. IBM Watson AIOps has allowed my team to more effectively manage IT Asset management tasks with lower effort and higher visibility, as well as recoup costs from zombie application instances in our Hybrid Cloud environments.
  • Insightful
  • Easy to Manage.
  • Aesthetically pleasing dashboards.
  • Deployment procedure documentation can be improved.
  • Fine tuning capabilities for IT Asset management could be improved.
  • Alerting features could be improved.
  • IT Asset Management Insights.
  • Application Usage Insights.
  • Application Resource Automation.
  • Time savings for my team with IT Asset Management tasks.
  • Time savings for my Application Engineers for cleanup tasks.
  • Resource usage savings in our Hybrid Cloud Environments.
IBM Watson AIOps stacks up well with Turbonomic because it basically is Turbonomic. IBM added Turbonomic's feature set into IBM Watson AIOps and we were therefore quite comfortable shifting to the re-branded version introduced by IBM. We do like the fact that IBM Watson AIOps includes the functionality of Turbonomic.

Do you think IBM Cloud Pak for AIOps delivers good value for the price?

Yes

Are you happy with IBM Cloud Pak for AIOps's feature set?

Yes

Did IBM Cloud Pak for AIOps live up to sales and marketing promises?

Yes

Did implementation of IBM Cloud Pak for AIOps go as expected?

I wasn't involved with the implementation phase

Would you buy IBM Cloud Pak for AIOps again?

Yes

IBM Watson AIOps is well suited for IT Asset Management tasks due to its insightful dashboard that leads our IT Team to track IT Asset usage/requirements in real-time. We have also enjoyed using the reports provided for IT Asset Management which we provide to our upper management team for predictive budgeting purposes. We found that IBM Watson AIOps is not as well suited for our Application resource automation as the tuning (aggressiveness) is not as tunable as we would like.