NLP provisioning dashboard

Panels

Expected Killed Alive

Number of expected, killed and alive provisioning processes.

The queries used to get the panel information are:

nlp_provisioning_expected_alive_processes
nlp_provisioning_killed_processes
nlp_provisioning_alive_processes

An example of this panel is shown below:

Killed by container

Time series with the killed processes by container.

The x-axis shows the time series and the y-axis shows the number of killed processes by container.

The queries used to get the panel information are:

nlp_provisioning_container_killed_count_total

An example of this panel is shown below:

Killed processes

Time series with the total killed processes.

The x-axis shows the time series and the y-axis shows the number of killed processes.

The queries used to get the panel information are:

nlp_provisioning_killed_processes

An example of this panel is shown below:

Alive processes VS Expected alive processes

Time series with the ratio between alive processes and expected alive processes.

The x-axis shows the time series and the y-axis shows the ratio between alive and expected

The queries used to get the panel information are:

nlp_provisioning_alive_processes/ nlp_provisioning_expected_alive_processes

An example of this panel is shown below:

Alive processes VS expected processes

Time series with the ratio between alive processes rate aggregated by 15 minutes and expected alive processes rate aggregated by 15 minutes.

The x-axis shows the time series and the y-axis shows the ratio between alive/expected processes

The queries used to get the panel information are:

sum by (exported_job) (rate(nlp_provisioning_alive_processes{exported_job="nlp_provisioning_job"}[15m])) / 
sum by (exported_job) (rate(nlp_provisioning_expected_alive_processes{exported_job="nlp_provisioning_job"}[15m]))

An example of this panel is shown below: