deepak4babu opened a new issue, #42195:
URL: https://github.com/apache/airflow/issues/42195

   ### Apache Airflow version
   
   Other Airflow 2 version (please specify below)
   
   ### If "Other Airflow 2 version" selected, which one?
   
   2.8.3
   
   ### What happened?
   
   We started to use deferrable operators and sensors from 2 weeks back. As 
part of it, we started using triggerer. The triggerer container memory is 
increasing steadily, even when no triggers are running.
   
   
   <img width="951" alt="airflow-triggerer-memory-leak-2 8 3" 
src="https://github.com/user-attachments/assets/74342e88-74a8-4703-a753-6204ae58e268";>
   
   
   ### What you think should happen instead?
   
   Memory consumption of idle triggerer should be less and does not increase
   
   ### How to reproduce
   
   Deploy triggerer in kubernetes with airflow version 2.8.3. Monitor for 24hrs
   
   ### Operating System
   
   kubernetes
   
   ### Versions of Apache Airflow Providers
   
   apache-airflow-providers-celery==3.6.1
   apache-airflow-providers-common-io==1.4.0
   apache-airflow-providers-common-sql==1.11.1
   apache-airflow-providers-ftp==3.7.0
   apache-airflow-providers-http==4.10.0
   apache-airflow-providers-imap==3.5.0
   apache-airflow-providers-smtp==1.8.0
   apache-airflow-providers-sqlite==3.7.1
   
   ### Deployment
   
   Other
   
   ### Deployment details
   
   Airflow version: 2.8.3
   Python version: 3.9.x
   Database: Postgres 13
   
   Kubernetes details:
   Azure kubernetes service
   Kustomize Version: v5.0.4-0.20230601165947-6ce0bf390ce3
   k8s Server Version: v1.29.4
   
   Dags are packaged as python packages and installed in the airflow base 
image. Airflow triggerer is deployed using our custom helm chart, which is just 
a modified version of official one.
   
   
   
   ### Anything else?
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [ ] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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