topic Re: Sum of all metrics values in custom chart in Extensions

Sum of all metrics values in custom chart

maborin — Mon, 06 Apr 2020 20:48:51 GMT

Hi,

I developed a oneagent plugin with sucess, but I could not not created a custom chart with Sum of all metrics values.

I tried with entity: HOST and PROCESS_GROUP_INSTANCE.

Can someone help me?

Re: Sum of all metrics values in custom chart

skrystosik — Tue, 07 Apr 2020 05:23:29 GMT

There is no option to sum all values from metric dimensions. In such case metric should have option to disable dimension (For example hostname). Those metricos can’t do that so you will not be able to get sum. I’ve done RFE for such case some time ago. As I rememeber I’ve got feedback that they are working about such option in the future.

Sebastian

Re: Sum of all metrics values in custom chart

ChadTurner — Tue, 07 Apr 2020 12:07:03 GMT

@marcus b. Keep an eye out for this as it was demoed to a me last week. There will be an option to have the SUM which will allow you to total up all of the line items in a given custom chart. Dynatrace has not released when this will be released and available. Keep an eye out for it tho.

Re: Sum of all metrics values in custom chart

maborin — Tue, 07 Apr 2020 13:26:05 GMT

Hi gyus,

Thank you for this information. This option is really important for all dashboards.

Share your RFE for me to up vote.

Re: Sum of all metrics values in custom chart

maborin — Mon, 20 Apr 2020 17:46:56 GMT

Hi Sebastian,
Share your RFE for me to up vote.

Re: Sum of all metrics values in custom chart

maborin — Mon, 11 May 2020 12:00:56 GMT

Hi,

i changed my json and i was successful.

i needed to create metric with parameter "entity": "PROCESS_GROUP". Ex:

{

"name": "custom.python.win.perfmon",

"version": "1.03",

"type": "python",

"entity": "PROCESS_GROUP_INSTANCE",

"metricGroup": "custom.python.win.perfmon",

"source": {

"package": "winperfmon",

"className": "WinPerfmon",

"install_requires": ["winstats"],

"activation": "Singleton"

"metrics": [

{

"timeseries": {

"key": "terminal_services.user_sessions",

"unit": "Count",

"aggregation": "avg",

"dimensions": ["Metric"],

"displayname": "Perfmon - Terminal Services"}

{

"entity": "PROCESS_GROUP",

"timeseries": {

"key": "terminal_services.user_sessions.group",

"unit": "Count",

"aggregation": "avg",

"dimensions": ["Metric"],

"displayname": "Perfmon - Terminal Services Group"}

}

And entity_id in Code .py