mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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c6fc3fa94d
Original query can't be executed via PromQL which results in error if expression is evaluated by Prometheus. The new expression is compatible with both engines.
271 lines
13 KiB
YAML
271 lines
13 KiB
YAML
# File contains default list of alerts for VM cluster and vmagent services.
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# The alerts below are just recommendations and may require some updates
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# and threshold calibration according to every specific setup.
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groups:
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- name: serviceHealth
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# note the `job` filter and update accordingly to your setup
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rules:
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- alert: TooManyRestarts
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expr: changes(process_start_time_seconds{job=~"vmselect|vminsert|vmstorage|vmagent|vmalert"}[15m]) > 2
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labels:
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severity: critical
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annotations:
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summary: "{{ $labels.job }} too many restarts (instance {{ $labels.instance }})"
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description: "Job {{ $labels.job }} (instance {{ $labels.instance }}) has restarted more than twice in the last 15 minutes.
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It might be crashlooping."
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- alert: ServiceDown
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expr: up{job=~"vmselect|vminsert|vmstorage|vmagent|vmalert"} == 0
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for: 2m
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labels:
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severity: "critical"
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annotations:
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summary: "Service {{ $labels.job }} is down on {{ $labels.instance }}"
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description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 2 minutes."
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# Alerts group for VM cluster assumes that Grafana dashboard
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# https://grafana.com/grafana/dashboards/11176 is installed.
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# Please, update the `dashboard` annotation according to your setup.
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- name: vmcluster
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interval: 30s
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concurrency: 2
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rules:
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- alert: DiskRunsOutOfSpaceIn3Days
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expr: |
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vm_free_disk_space_bytes / ignoring(path) (
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(
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sum(rate(vm_rows_added_to_storage_total[1d])) -
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sum(rate(vm_deduplicated_samples_total[1d])) without(type)
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)
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*
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(
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sum(vm_data_size_bytes{type!="indexdb"}) /
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sum(vm_rows{type!="indexdb"})
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)
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) < 3 * 24 * 3600
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for: 30m
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labels:
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severity: critical
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=113&var-instance={{ $labels.instance }}"
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summary: "Instance {{ $labels.instance }} will run out of disk space in 3 days"
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description: "Taking into account current ingestion rate, free disk space will be enough only
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for {{ $value | humanizeDuration }} on instance {{ $labels.instance }}.\n
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Consider to limit the ingestion rate, decrease retention or scale the disk space up if possible."
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- alert: DiskRunsOutOfSpace
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expr: |
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sum(vm_data_size_bytes) by(instance) /
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(
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sum(vm_free_disk_space_bytes) by(instance) +
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sum(vm_data_size_bytes) by(instance)
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) > 0.8
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for: 30m
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labels:
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severity: critical
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annotations:
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dashboard: http://localhost:3000/d/oS7Bi_0Wz?viewPanel=110&var-instance={{ $labels.instance }}"
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summary: "Instance {{ $labels.instance }} will run out of disk space soon"
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description: "Disk utilisation on instance {{ $labels.instance }} is more than 80%.\n
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Having less than 20% of free disk space could cripple merges processes and overall performance.
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Consider to limit the ingestion rate, decrease retention or scale the disk space if possible."
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- alert: RequestErrorsToAPI
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expr: increase(vm_http_request_errors_total[5m]) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=52&var-instance={{ $labels.instance }}"
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summary: "Too many errors served for {{ $labels.job }} path {{ $labels.path }} (instance {{ $labels.instance }})"
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description: "Requests to path {{ $labels.path }} are receiving errors.
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Please verify if clients are sending correct requests."
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- alert: RPCErrors
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expr: |
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(
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sum(increase(vm_rpc_connection_errors_total[5m])) by(job, instance)
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+
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sum(increase(vm_rpc_dial_errors_total[5m])) by(job, instance)
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+
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sum(increase(vm_rpc_handshake_errors_total[5m])) by(job, instance)
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+
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sum(increase(vm_rpc_reroute_errors_total[5m])) by(job, instance)
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) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=44&var-instance={{ $labels.instance }}"
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summary: "Too many RPC errors for {{ $labels.job }} (instance {{ $labels.instance }})"
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description: "RPC errors are interconnection errors between cluster components.\n
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Possible reasons for errors are misconfiguration, overload, network blips or unreachable components."
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- alert: ConcurrentFlushesHitTheLimit
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expr: avg_over_time(vm_concurrent_addrows_current[1m]) >= vm_concurrent_addrows_capacity
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=133&var-instance={{ $labels.instance }}"
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summary: "vmstorage on instance {{ $labels.instance }} is constantly hitting concurrent flushes limit"
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description: "The limit of concurrent flushes on instance {{ $labels.instance }} is equal to number of CPUs.\n
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When vmstorage constantly hits the limit it means that storage is overloaded and requires more CPU."
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- alert: TooManyLogs
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expr: sum(increase(vm_log_messages_total{level!="info"}[5m])) by (job, instance) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=104&var-instance={{ $labels.instance }}"
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summary: "Too many logs printed for job \"{{ $labels.job }}\" ({{ $labels.instance }})"
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description: "Logging rate for job \"{{ $labels.job }}\" ({{ $labels.instance }}) is {{ $value }} for last 15m.\n
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Worth to check logs for specific error messages."
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- alert: RowsRejectedOnIngestion
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expr: sum(rate(vm_rows_ignored_total[5m])) by (instance, reason) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=135&var-instance={{ $labels.instance }}"
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summary: "Some rows are rejected on \"{{ $labels.instance }}\" on ingestion attempt"
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description: "VM is rejecting to ingest rows on \"{{ $labels.instance }}\" due to the
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following reason: \"{{ $labels.reason }}\""
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- alert: TooHighChurnRate
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expr: |
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(
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sum(rate(vm_new_timeseries_created_total[5m]))
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/
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sum(rate(vm_rows_inserted_total[5m]))
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) > 0.1
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=102"
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summary: "Churn rate is more than 10% for the last 15m"
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description: "VM constantly creates new time series.\n
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This effect is known as Churn Rate.\n
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High Churn Rate tightly connected with database performance and may
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result in unexpected OOM's or slow queries."
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- alert: TooHighChurnRate24h
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expr: |
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sum(increase(vm_new_timeseries_created_total[24h]))
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>
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(sum(vm_cache_entries{type="storage/hour_metric_ids"})* 3)
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=102"
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summary: "Too high number of new series created over last 24h"
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description: "The number of created new time series over last 24h is 3x times higher than
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current number of active series.\n
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This effect is known as Churn Rate.\n
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High Churn Rate tightly connected with database performance and may
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result in unexpected OOM's or slow queries."
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- alert: TooHighSlowInsertsRate
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expr: |
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(
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sum(rate(vm_slow_row_inserts_total[5m]))
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/
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sum(rate(vm_rows_inserted_total[5m]))
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) > 0.05
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=108"
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summary: "Percentage of slow inserts is more than 5% for the last 15m"
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description: "High rate of slow inserts may be a sign of resource exhaustion
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for the current load. It is likely more RAM is needed for optimal handling of the current number of active time series."
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- alert: ProcessNearFDLimits
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expr: (process_max_fds - process_open_fds) < 100
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for: 5m
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labels:
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severity: critical
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=117&var-instance={{ $labels.instance }}"
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summary: "Number of free file descriptors is less than 100 for \"{{ $labels.job }}\"(\"{{ $labels.instance }}\") for the last 5m"
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description: "Exhausting OS file descriptors limit can cause severe degradation of the process.
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Consider to increase the limit as fast as possible."
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- alert: LabelsLimitExceededOnIngestion
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expr: sum(increase(vm_metrics_with_dropped_labels_total[5m])) by (instance) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=116&var-instance={{ $labels.instance }}"
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summary: "Metrics ingested to vminsert on ({{ $labels.instance }}) are exceeding labels limit"
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description: "VictoriaMetrics limits the number of labels per each metric with `-maxLabelsPerTimeseries` command-line flag.\n
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This prevents from ingesting metrics with too many labels. Please verify that `-maxLabelsPerTimeseries` is configured
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correctly or that clients which send these metrics aren't misbehaving."
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- alert: VminsertIsDroppingRows
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expr: sum(rate(vm_rpc_rows_lost_total[5m])) by(instance) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=84&var-instance={{ $labels.instance }}"
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summary: "VMinsert \"{{ $labels.job }}\" on instance {{ $labels.instance }} drops rows due to RPC errors."
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description: "VMinsert starts to drop rows if there are no healthy VMstorage nodes where it can route
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insert requests to. Check the health state of VMstorage nodes and RPC metrics."
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# Alerts group for vmagent assumes that Grafana dashboard
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# https://grafana.com/grafana/dashboards/12683 is installed.
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# Pls update the `dashboard` annotation according to your setup.
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- name: vmagent
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interval: 30s
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concurrency: 2
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rules:
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- alert: PersistentQueueIsDroppingData
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expr: sum(increase(vm_persistentqueue_bytes_dropped_total[5m])) by (job, instance) > 0
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for: 10m
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labels:
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severity: critical
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annotations:
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dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=49&var-instance={{ $labels.instance }}"
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summary: "Instance {{ $labels.instance }} is dropping data from persistent queue"
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description: "Vmagent dropped {{ $value | humanize1024 }} from persistent queue
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on instance {{ $labels.instance }} for the last 10m."
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- alert: TooManyScrapeErrors
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expr: sum(increase(vm_promscrape_scrapes_failed_total[5m])) by (job, instance) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=31&var-instance={{ $labels.instance }}"
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summary: "Job \"{{ $labels.job }}\" on instance {{ $labels.instance }} fails to scrape targets for last 15m"
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- alert: TooManyWriteErrors
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expr: |
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(sum(increase(vm_ingestserver_request_errors_total[5m])) by (job, instance)
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+
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sum(increase(vmagent_http_request_errors_total[5m])) by (job, instance)) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=77&var-instance={{ $labels.instance }}"
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summary: "Job \"{{ $labels.job }}\" on instance {{ $labels.instance }} responds with errors to write requests for last 15m."
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- alert: TooManyRemoteWriteErrors
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expr: sum(rate(vmagent_remotewrite_retries_count_total[5m])) by(job, instance, url) > 0
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for: 15m
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labels:
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severity: warning
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annotations:
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dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=61&var-instance={{ $labels.instance }}"
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summary: "Job \"{{ $labels.job }}\" on instance {{ $labels.instance }} fails to push to remote storage"
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description: "Vmagent fails to push data via remote write protocol to destination \"{{ $labels.url }}\"\n
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Ensure that destination is up and reachable."
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