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Status Submitted
Workspace IBM Turbonomic ARM
Categories Public Cloud IaaS
Created by Guest
Created on Dec 30, 2024

RELATED IDEAS

Capture the past actions and use them to create a persistence or volatility index. Some customers are more likely to implement persistent actions.

The Turbonomic ideal is that Customers trust our actions – and automate so that those Cloud VM scale actions happen automatically – perhaps every night. This is NOT what happens in the real world.

Customers or App Teams have problems either trusting our actions or they’ve still got the ITIL mentality that 90% of incidents come from changes – and they’re change averse. Many customers have AT LEAST a 7 day change process and are unable to implement Turbo actions that fast.

But what happened if we were to show that some of our recommendations hadn’t changed for 2 weeks? They’d be more likely to implement.

Or that the actions are very changeable due to variable customer load? The Turbonomic TAM would recommend some policy changes – maybe increase the number of change windows, increase the maximum observation period or adjust to P99. Lots of options now we have more information.

What the Customer Wants:  

•VMs (for the moment) should have graphs with volatility or persistency data and charts – see the charts in the PPTX attached.

•High persistency recommendations could be prioritized in the actions dashboard.

•Policies could be amended to only show actions with high persistency.

volatility idea...
volatility idea.pptx
 volatility idea.pptx
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volatility idea.pptx
Idea priority Medium
  • Guest
    Reply
    |     Dec 30, 2024

    I concur with the sentiment expressed herein.  We face the same challenges with app teams.  Take note of "Column E" in the downloadable CSV, which contains "First Discovered (in days)" value.  Ensure you are socializing only those that are "30+" days old, which clearly indicates the resource has a strong history of having a recommendation.  Beyond this, it is left to Turbonomic customers to save/persist an archive of recommendations toward the goal of determining a persistence/volatility index.  Good luck!

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