plane claude 3
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@@ -59,8 +59,8 @@ spec:
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# Celery Worker - Aggressive Memory-Begrenzung
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# Celery Worker - Aggressive Memory-Begrenzung
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CELERY_WORKER_CONCURRENCY: "1"
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CELERY_WORKER_CONCURRENCY: "1"
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CELERY_WORKER_MAX_TASKS_PER_CHILD: "10"
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CELERY_WORKER_MAX_TASKS_PER_CHILD: "5"
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CELERY_WORKER_MAX_MEMORY_PER_CHILD: "500000"
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CELERY_WORKER_MAX_MEMORY_PER_CHILD: "400000"
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CELERY_WORKER_PREFETCH_MULTIPLIER: "1"
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CELERY_WORKER_PREFETCH_MULTIPLIER: "1"
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# Task Limits - Sehr restriktiv
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# Task Limits - Sehr restriktiv
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@@ -69,23 +69,29 @@ spec:
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CELERY_TASK_ACKS_LATE: "true"
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CELERY_TASK_ACKS_LATE: "true"
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CELERY_TASK_REJECT_ON_WORKER_LOST: "true"
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CELERY_TASK_REJECT_ON_WORKER_LOST: "true"
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# Task-Routing um problematische Tasks zu isolieren
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CELERY_TASK_DEFAULT_QUEUE: "default"
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CELERY_TASK_CREATE_MISSING_QUEUES: "true"
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# Python Memory Management
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# Python Memory Management
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PYTHONMALLOC: "malloc"
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PYTHONMALLOC: "malloc"
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MALLOC_TRIM_THRESHOLD_: "65536"
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MALLOC_TRIM_THRESHOLD_: "65536"
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MALLOC_MMAP_THRESHOLD_: "65536"
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# Logging reduzieren
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# Logging erhöhen um Problem-Tasks zu identifizieren
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CELERY_WORKER_LOG_LEVEL: "WARNING"
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CELERY_WORKER_LOG_LEVEL: "INFO"
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CELERY_TASK_LOG_FORMAT: "[%(asctime)s: %(levelname)s/%(processName)s] %(task_name)s[%(task_id)s]: %(message)s - Memory: %(process)s"
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worker:
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worker:
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replicas: 3
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replicas: 2
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concurrency: 1
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concurrency: 1
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resources:
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resources:
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requests:
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requests:
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memory: "4096Mi"
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memory: "2Gi"
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cpu: "500m"
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cpu: "500m"
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limits:
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limits:
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memory: "8192Mi"
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memory: "6Gi"
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cpu: "1500m"
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cpu: "1500m"
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# Health Checks komplett deaktiviert für Debugging
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# Health Checks komplett deaktiviert für Debugging
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