[
https://issues.apache.org/jira/browse/AIRFLOW-4593?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nikhil SInghal updated AIRFLOW-4593:
------------------------------------
Description:
We are running Apache Airflow on Kubernetes. When I see my Grafana Dashboard I
see that the memory used is consistently increasing. Can anyone give me some
pointers for how can I debug this or with existing issues/solutions related to
this.
This is a sharp increase in Airflow scheduler and slow increase for worker and
webserver
was:
We are running Apache Airflow on Kubernetes. When I see my Grafana Dashboard I
see that the memory used is consistently increasing. Can anyone give me some
pointers for how can I debug this or any with existing issues/solutions related
to this.
This is a sharp increase in Airflow scheduler and slow increase for worker and
webserver
> Memory leak in Airflow scheduler
> --------------------------------
>
> Key: AIRFLOW-4593
> URL: https://issues.apache.org/jira/browse/AIRFLOW-4593
> Project: Apache Airflow
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 1.10.2
> Reporter: Nikhil SInghal
> Priority: Major
> Attachments: Screenshot 2019-05-30 at 3.19.33 PM.png
>
>
> We are running Apache Airflow on Kubernetes. When I see my Grafana Dashboard
> I see that the memory used is consistently increasing. Can anyone give me
> some pointers for how can I debug this or with existing issues/solutions
> related to this.
> This is a sharp increase in Airflow scheduler and slow increase for worker
> and webserver
>
>
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
