IIPOCTAK opened a new issue, #58401:
URL: https://github.com/apache/airflow/issues/58401

   ### Apache Airflow version
   
   3.1.3
   
   ### If "Other Airflow 2/3 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   We are currently using Airflow 3.1.0. After upgrading to the latest versions:
   
   - 3.1.0 -> 3.1.1
   - 3.1.0 -> 3.1.2
   - 3.1.0 -> 3.1.3
   
   We observed significant CPU throttling in the DagProcessor.
   
   As shown in the graphs below, CPU throttling has increased dramatically:
   <img width="687" height="304" alt="Image" 
src="https://github.com/user-attachments/assets/f7d85d1b-828a-4520-8cbc-9463a275ad63";
 />
   <img width="769" height="298" alt="Image" 
src="https://github.com/user-attachments/assets/c19e264c-6837-478a-9354-453ce1bdf477";
 />
   
   CPU usage has also increased, but not nearly as much as throttling:
   <img width="744" height="300" alt="Image" 
src="https://github.com/user-attachments/assets/d447d13a-cf2c-499d-b1e9-cdb3d27bb451";
 />
   <img width="1100" height="297" alt="Image" 
src="https://github.com/user-attachments/assets/05662bb0-b60f-47cf-ac20-5518b939de89";
 />
   
   Our Airflow resources run in a Kubernetes cluster. We did not change 
anything except the package versions.
   requrements.txt:
   ```
   -apache-airflow[fab,ldap]==3.1.0
   -apache-airflow-providers-fab==2.4.4
   +apache-airflow[fab,ldap]==3.1.3
   +apache-airflow-providers-fab==3.0.1
   ```
   values.yaml:
   ```
   -airflowVersion: 3.1.0
   +airflowVersion: 3.1.3
   
   -defaultAirflowTag: 3.1.0-python3.10
   +defaultAirflowTag: 3.1.3-python3.10
   ```
   
   I were trying to change this parameters after upgrade:
   ```
   AIRFLOW__DAG_PROCESSOR__FILE_PARSING_SORT_MODE: "random_seeded_by_host"
   AIRFLOW__DAG_PROCESSOR__PARSING_PROCESSES: "1"
   AIRFLOW__DAG_PROCESSOR__REFRESH_INTERVAL: "300"
   ```
   And increase CPU limits/requests (x2). Nothing helped.
   
   ### What you think should happen instead?
   
   _No response_
   
   ### How to reproduce
   
   Upgrade airflow version, for example, from 3.1.0 -> 3.1.3 version and check 
CPU usage and throttling.
   
   ### Operating System
   
   Debian GNU/Linux 12 (bookworm)
   
   ### Versions of Apache Airflow Providers
   
   \# pip3 list | grep providers
   ```
   apache-airflow-providers-amazon           9.12.0
   apache-airflow-providers-celery           3.12.3
   apache-airflow-providers-cncf-kubernetes  10.8.1
   apache-airflow-providers-common-compat    1.7.4
   apache-airflow-providers-common-io        1.6.3
   apache-airflow-providers-common-messaging 2.0.0
   apache-airflow-providers-common-sql       1.28.1
   apache-airflow-providers-docker           4.4.3
   apache-airflow-providers-elasticsearch    6.3.3
   apache-airflow-providers-fab              2.4.4
   apache-airflow-providers-ftp              3.13.2
   apache-airflow-providers-git              0.0.8
   apache-airflow-providers-google           18.0.0
   apache-airflow-providers-grpc             3.8.2
   apache-airflow-providers-hashicorp        4.3.2
   apache-airflow-providers-http             5.3.4
   apache-airflow-providers-microsoft-azure  12.7.1
   apache-airflow-providers-mysql            6.3.4
   apache-airflow-providers-odbc             4.10.2
   apache-airflow-providers-openlineage      2.7.1
   apache-airflow-providers-postgres         6.3.0
   apache-airflow-providers-redis            4.3.1
   apache-airflow-providers-sendgrid         4.1.3
   apache-airflow-providers-sftp             5.4.0
   apache-airflow-providers-slack            9.3.0
   apache-airflow-providers-smtp             2.2.1
   apache-airflow-providers-snowflake        6.5.4
   apache-airflow-providers-ssh              4.1.4
   apache-airflow-providers-standard         1.8.0
   ```
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   helm
   
   ### Anything else?
   
   Constantly after upgrade
   
   ### 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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