54 lines
1.5 KiB
YAML
54 lines
1.5 KiB
YAML
---
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apiVersion: v1
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data:
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config.yaml: |-
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service_setting:
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predictor: SARIMAX
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max_cpu_usage_percentage: 0.5
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worker_monitor:
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interval_seconds: 30
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update_num_worker_interval_seconds: 300
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worker:
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timeout_seconds: 60
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rabbitmq_restart_times: 5
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cache_primary_workload_metrics_data: True
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log_level: info
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predictor:
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SARIMAX:
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type: SARIMAX
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module: .sarimax_predictor
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class: SARIMAXPredictor
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trained: True # model training and prediction are performed by the same process
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saved: True # no need for saving models
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order:
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p: [0,1,2]
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q: [0,1,2]
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seasonal_order:
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P: [0,1,2]
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D: [0,1]
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Q: [0,1]
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confidence_level: 99 # 90, 95, 98, 99
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fft: True
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minimal_sample_size: 100
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VAR:
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minimal_metric_size: 10
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TF:
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observation_scaled: True
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CORRELATION_IMPACT:
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minimal_metric_size: 10
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kind: ConfigMap
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metadata:
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annotations:
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{{- if .Values.global.commonAnnotations }}
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{{- include "render-value" ( dict "value" .Values.global.commonAnnotations "context" .) | nindent 4 }}
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{{- end }}
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labels:
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{{- if .Values.global.commonLabels }}
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{{- include "render-value" ( dict "value" .Values.global.commonLabels "context" .) | nindent 4 }}
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{{- end }}
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app.kubernetes.io/part-of: federatorai
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app: alameda
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name: alameda-ai-config
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namespace: {{ .Release.Namespace }}
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