MongoDB On GB consumption

[divyjai]

Hi Team,

I need to calculate the consumption for MongoDB Enterprise Advanced which is licensed per RAM memory (GB). I have created a custom license metric as "memory" in flexera but I am unable to get any consumption against this metric. Since , there is no relevant license metric available in flexera, could you guide me how can I get the consumption count in case of custom license type.Also,for the consumption on GB (Gigabyte)what metric can we selected get the consumption.

Let us know

[ChrisG]

Take a look at the following thread for some previous thoughts that @mfranz has shared on this scenario: RAM Licensing - MongoDB. As noted there, there is nothing built in to FlexNet Manager Suite/Flexera One ITAM that would automate calculation of consumption here, but if you're using FlexNet Manager Suite (On-premises) then you might explore using some kind of business adapter to do an appropriate calculation and automate updating that detail on your license record.

The following idea may also be relevant to you, so feel free to vote on it if it would be helpful: FNMEA-I-9: New license memory metric.

[divyjai]

Can you provide the details on Business adapter which business adapter what is the name for same ?Is it free or paid ,Also please provide documentation if you have on the same

[ChrisG]

Here are some helpful resources containing information about working with business adapters:

• Business Adapter Practice Guide (in the Flexera Learning Center)
• Using FlexNet Business Adapters (FlexNet Manager Suite 2021 R1 documentation)

Many organizations use an experienced consulting services provider to help with designing and configuring business adapters, as specialized skills in doing this kind of work can help. This kind of work would normally involve some kind of cost.

[kclausen]

@divyjai - Yes, as highlighted by Chris G, when you create a Custom Metric, by default it means that there is not an automated way for Flexera to capture the data to calculate consumption.

For Flexera One ITAM, you can create a Custom Report that shows all of the installations of MongoDB Enterprise Advanced, along with the Server Name and the total amount of RAM on each server.  When you run this report, download to Excel and then go to the bottom of the report and subtotal the RAM column.  This is your total RAM Consumption.

You can then go into your MongoDB Custom License and manually enter the total RAM Consumption.  You would need to perform this task on a scheduled basis (Monthly, Weekly, ??)

[Harpreet]

@kclausen Could you let us know the field we need to select here in order to get total amount of RAM on each server? I have selected total memory. Is this the one you are referring to? If this is not the one, can you tell me which field I need to use and where can I find the same in Flexera. Thanks in advance. 

[ChrisG]

Yes, "Total memory" in the column shown in the screenshot here is the same as "Total RAM". The figure is the total number of bytes.

[Harpreet]

Hi , 

Thank you for providing the resolution to my query earlier.

Can you tell where can we add the consumption manually in FNMS tool? 

[kclausen]

@Harpreet - Assuming you have created a Software License with a license metric of "Custom Metric", then on the Compliance tab of the license, the Consumed Entitlements field becomes a field where you can manually type in the consumption and then save the license.

[Harpreet]

As suggested , I have tried to add manual demand for the custom license metric. However, I need to add 9,481,728,540,672 this number of bytes. The tool is allowing me to add number upto 2147483647. Is there a fixed limit and we cannot add a number greater than this limit? Please check the attached screenshot for your reference.

[kclausen]

That seems like an extremely large number. 

Since your license is measured by the number of GB of RAM, that large number needs to be converted from number of bytes to GB, which would be 9482.

[Harpreet]

@kclausen This was helpful. I will add the demand now. Thankyou so much for the quick response! 🙂