ddadmin
335e5e7612
- Зачем: - диапазонные запросы Prometheus возвращали временные ряды, из-за чего Grafana не вычисляла алерты Airflow и Kafka. - Что: - между запросом Prometheus и Threshold добавлен Reduce(last) в семи правилах, а аннотации переведены на итоговое число. - добавлены регрессионные тесты конфигурации и зависимость PyYAML для их запуска. - в уроке 5 уточнено время срабатывания и восстановления алерта scheduler. - Проверка: - uv run --with-requirements generator/requirements.txt pytest tests/ -q -p no:cacheprovider: 33 passed. - uv run --with-requirements requirements.txt pytest tests/ -q -p no:cacheprovider из generator: 218 passed. - Docker Compose config и вычисление правил в Grafana 11.5.2 прошли успешно.
251 lines
7.3 KiB
YAML
251 lines
7.3 KiB
YAML
apiVersion: 1
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groups:
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- orgId: 1
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name: kafka_health_group
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folder: Kafka Alerts
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interval: 1m
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rules:
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# --- Alert: Kafka Broker Down ---
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- uid: kafka_broker_down
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title: Kafka Broker Down
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condition: C
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data:
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- refId: A
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relativeTimeRange:
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from: 300
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to: 0
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datasourceUid: prometheus_uid
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model:
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datasource:
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type: prometheus
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uid: prometheus_uid
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editorMode: code
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expr: kafka_brokers
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instant: false
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intervalMs: 1000
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legendFormat: __auto
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maxDataPoints: 43200
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range: true
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refId: A
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- refId: B
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datasourceUid: __expr__
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model:
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conditions:
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- evaluator:
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params: []
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type: gt
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operator:
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type: and
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query:
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params:
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- B
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reducer:
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params: []
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type: last
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type: query
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datasource:
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type: __expr__
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uid: __expr__
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expression: A
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intervalMs: 1000
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maxDataPoints: 43200
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reducer: last
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refId: B
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type: reduce
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- refId: C
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datasourceUid: __expr__
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model:
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conditions:
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- evaluator:
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params:
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- 1
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type: lt
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operator:
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type: and
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query:
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params:
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- C
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reducer:
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params: []
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type: last
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type: query
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datasource:
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type: __expr__
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uid: __expr__
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expression: B
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intervalMs: 1000
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maxDataPoints: 43200
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refId: C
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type: threshold
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noDataState: Alerting
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execErrState: Error
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for: 1m
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annotations:
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summary: "Kafka broker недоступен"
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description: "Количество доступных брокеров: {{ $values.B.Value }} (ожидается ≥ 1)"
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labels:
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severity: critical
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# --- Alert: High Consumer Lag ---
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- uid: kafka_consumer_lag_high
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title: Kafka Consumer Lag High
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condition: C
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data:
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- refId: A
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relativeTimeRange:
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from: 300
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to: 0
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datasourceUid: prometheus_uid
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model:
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datasource:
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type: prometheus
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uid: prometheus_uid
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editorMode: code
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expr: kafka_consumergroup_lag
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instant: false
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intervalMs: 1000
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legendFormat: "{{ consumergroup }} - {{ topic }}:{{ partition }}"
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maxDataPoints: 43200
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range: true
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refId: A
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- refId: B
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datasourceUid: __expr__
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model:
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conditions:
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- evaluator:
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params: []
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type: gt
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operator:
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type: and
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query:
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params:
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- B
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reducer:
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params: []
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type: last
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type: query
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datasource:
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type: __expr__
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uid: __expr__
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expression: A
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intervalMs: 1000
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maxDataPoints: 43200
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reducer: last
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refId: B
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type: reduce
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- refId: C
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datasourceUid: __expr__
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model:
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conditions:
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- evaluator:
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params:
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- 10000
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type: gt
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operator:
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type: and
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query:
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params:
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- C
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reducer:
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params: []
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type: last
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type: query
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datasource:
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type: __expr__
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uid: __expr__
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expression: B
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intervalMs: 1000
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maxDataPoints: 43200
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refId: C
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type: threshold
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noDataState: NoData
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execErrState: Error
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for: 5m
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annotations:
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summary: "Высокий лаг консьюмера {{ $labels.consumergroup }}"
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description: "Lag для {{ $labels.topic }}:{{ $labels.partition }} составляет {{ $values.B.Value }} сообщений (порог: 10000)"
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labels:
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severity: warning
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# --- Alert: No Messages Produced ---
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- uid: kafka_no_messages_produced
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title: Kafka No Messages Produced
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condition: C
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data:
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- refId: A
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relativeTimeRange:
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from: 600
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to: 0
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datasourceUid: prometheus_uid
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model:
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datasource:
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type: prometheus
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uid: prometheus_uid
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editorMode: code
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expr: rate(kafka_topic_partition_current_offset[5m])
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instant: false
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intervalMs: 1000
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legendFormat: "{{ topic }}"
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maxDataPoints: 43200
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range: true
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refId: A
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- refId: B
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datasourceUid: __expr__
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model:
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conditions:
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- evaluator:
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params: []
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type: gt
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operator:
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type: and
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query:
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params:
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- B
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reducer:
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params: []
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type: last
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type: query
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datasource:
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type: __expr__
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uid: __expr__
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expression: A
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intervalMs: 1000
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maxDataPoints: 43200
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reducer: last
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refId: B
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type: reduce
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- refId: C
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datasourceUid: __expr__
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model:
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conditions:
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- evaluator:
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params:
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- 0.1
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type: lt
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operator:
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type: and
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query:
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params:
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- C
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reducer:
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params: []
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type: last
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type: query
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datasource:
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type: __expr__
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uid: __expr__
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expression: B
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intervalMs: 1000
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maxDataPoints: 43200
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refId: C
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type: threshold
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noDataState: NoData
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execErrState: Error
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for: 10m
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annotations:
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summary: "В топик {{ $labels.topic }} не поступают сообщения"
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description: "Rate сообщений < 0.1 msg/sec в течение 10 минут"
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labels:
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severity: warning
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