narenjngr opened a new issue, #58404:
URL: https://github.com/apache/airflow/issues/58404

   ### Apache Airflow version
   
   Other Airflow 2/3 version (please specify below)
   
   ### If "Other Airflow 2/3 version" selected, which one?
   
   3.0.6
   
   ### What happened?
   
   After upgrade to airflow 3, system started experiencing random DAG 
disappearance.
   The config for dag processor has this setup:
   
        -  name: AIRFLOW__DAG_PROCESSOR__BUNDLE_REFRESH_CHECK_INTERVAL
           value: "30"
         - name: AIRFLOW__DAG_PROCESSOR__REFRESH_INTERVAL
           value: "30"
         - name: AIRFLOW__CORE__STORE_SERIALIZED_DAGS
           value: "True"
         - name: AIRFLOW__DAG_PROCESSOR__DAG_FILE_PROCESSOR_TIMEOUT
           value: "600"
         - name: AIRFLOW__LOGGING__LOGGING_LEVEL
           value: "DEBUG"
   
   Files found by aiflow dag -folder also reduce over the period of time.
   Here is my dag processor values.yaml file section-
   
       dagProcessor:
         enabled: true
         replicas: 1
         revisionHistoryLimit: ~
         command: ~
         args: ["bash", "-c", "exec airflow dag-processor"]
     
     
         strategy:
           rollingUpdate:
             maxSurge: "100%"
             maxUnavailable: "50%"
     
         livenessProbe:
           initialDelaySeconds: 120
           timeoutSeconds: 60
           failureThreshold: 10
           periodSeconds: 60
           command: ~
     
         serviceAccount:
           automountServiceAccountToken: true
           create: false
           name: "airflow"
     
           annotations: {}
     
         securityContext: {}
     
         securityContexts:
           pod: {}
           container: {}
     
         containerLifecycleHooks: {}
     
         resources:
           limits:
             cpu: 1
             memory: 2Gi
           requests:
             cpu: 500m
             memory: 500Mi
     
         terminationGracePeriodSeconds: 60
     
         safeToEvict: true
     
         extraContainers: []
         extraInitContainers: []
         extraVolumes: []
         extraVolumeMounts: []
     
         # Select certain nodes for airflow dag processor pods.
         nodeSelector: {}
         affinity: {}
         tolerations: []
         topologySpreadConstraints: []
     
         priorityClassName: ~
     
         annotations: {}
     
         podAnnotations: {}
     
         logGroomerSidecar:
           enabled: true
           command: ~
           args: ["bash", "/clean-logs"]
           retentionDays: 15
           frequencyMinutes: 15
           resources: {}
           securityContexts:
             container: {}
     
           env: []
     
         waitForMigrations:
           enabled: true
           env: []
           securityContexts:
             container: {}
     
         env: 
           - name: AIRFLOW__DAG_PROCESSOR__BUNDLE_REFRESH_CHECK_INTERVAL
             value: "30"
           - name: AIRFLOW__DAG_PROCESSOR__REFRESH_INTERVAL
             value: "30"
           - name: AIRFLOW__CORE__STORE_SERIALIZED_DAGS
             value: "True"
           - name: AIRFLOW__DAG_PROCESSOR__DAG_FILE_PROCESSOR_TIMEOUT
             value: "600"
           - name: AIRFLOW__LOGGING__LOGGING_LEVEL
             value: "DEBUG"
   
   Points of interest in log:
   DAG processor logs started showing 0 DAGs from 1 in logs for dag 
PROJECT_DATABRICKS_STOP_JOBS suddenly as per attached log file clip. DAG is 
scheduled to run at every week day 7 PM local time.
   
   
   ### What you think should happen instead?
   
   DAGs shouldn't disappear unless I delete these DAGs from the mounted volume.
   
   ### How to reproduce
   
   Use same dag processor config and observer for few days. Intermittent issue.
   
   ### Operating System
   
   Linux
   
   ### Versions of Apache Airflow Providers
   
   eval_type_backport==0.2.2
   apache-airflow-providers-databricks==6.4.0
   apache-airflow-providers-mongo==4.2.1
   apache-airflow-providers-git==0.0.2
   apache-airflow-providers-standard==1.2.0
   soda-core-spark-df==3.5.5
   soda-core-spark[databricks]==3.5.5
   soda-core-scientific==3.5.5
   pymongo~=4.0.0
   typing_extensions==4.13.2
   paramiko<4
   PyMuPDF~=1.26.5
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   _No response_
   
   ### 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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