mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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0f4bcc00b2
* dasbhoard: replace `null` datasources null datasource value may confuse Grafana and make it drop panel query in some versions. * docker: bump grafana image version * dashboards: add URL variable selector to vmagent dashboard * dashboards: add new panel `Remote write connection saturation` to vmagent dashboard * alerts: add new alert for `Remote write connection saturation` panel of vmagent dashboard * dashboards: add "Logging rate" panel to vmagent dashboard
264 lines
13 KiB
YAML
264 lines
13 KiB
YAML
# File contains default list of alerts for vm-single 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: vm-health
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# note the `job` filter and update accordingly to your setup
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rules:
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# note the `job` filter and update accordingly to your setup
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- alert: TooManyRestarts
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expr: changes(process_start_time_seconds{job=~"victoriametrics|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 }} 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=~"victoriametrics|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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- 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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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: TooHighMemoryUsage
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expr: (process_resident_memory_anon_bytes / vm_available_memory_bytes) > 0.9
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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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summary: "It is more than 90% of memory used by \"{{ $labels.job }}\"(\"{{ $labels.instance }}\") during the last 5m"
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description: "Too high memory usage may result into multiple issues such as OOMs or degraded performance.
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Consider to either increase available memory or decrease the load on the process."
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# Alerts group for VM single assumes that Grafana dashboard
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# https://grafana.com/grafana/dashboards/10229 is installed.
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# Pls update the `dashboard` annotation according to your setup.
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- name: vmsingle
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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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(
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rate(vm_rows_added_to_storage_total[1d]) -
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ignoring(type) rate(vm_deduplicated_samples_total{type="merge"}[1d])
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)
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* scalar(
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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/wNf0q_kZk?viewPanel=73&var-instance={{ $labels.instance }}"
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summary: "Instance {{ $labels.instance }} will run out of disk space soon"
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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 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/wNf0q_kZk?viewPanel=53&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/wNf0q_kZk?viewPanel=35&var-instance={{ $labels.instance }}"
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summary: "Too many errors served for 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: 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/wNf0q_kZk?viewPanel=59&var-instance={{ $labels.instance }}"
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summary: "VictoriaMetrics 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 VictoriaMetrics 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/wNf0q_kZk?viewPanel=67&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/wNf0q_kZk?viewPanel=58&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])) by(instance)
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/
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sum(rate(vm_rows_inserted_total[5m])) by (instance)
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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/wNf0q_kZk?viewPanel=66&var-instance={{ $labels.instance }}"
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summary: "Churn rate is more than 10% on \"{{ $labels.instance }}\" for the last 15m"
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description: "VM constantly creates new time series on \"{{ $labels.instance }}\".\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])) by(instance)
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>
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(sum(vm_cache_entries{type="storage/hour_metric_ids"}) by(instance) * 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/wNf0q_kZk?viewPanel=66&var-instance={{ $labels.instance }}"
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summary: "Too high number of new series on \"{{ $labels.instance }}\" 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 on \"{{ $labels.instance }}\".\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])) by(instance)
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/
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sum(rate(vm_rows_inserted_total[5m])) by (instance)
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) > 0.5
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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/wNf0q_kZk?viewPanel=68&var-instance={{ $labels.instance }}"
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summary: "Percentage of slow inserts is more than 50% on \"{{ $labels.instance }}\" for the last 15m"
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description: "High rate of slow inserts on \"{{ $labels.instance }}\" 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: 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=74&var-instance={{ $labels.instance }}"
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summary: "Metrics ingested in ({{ $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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# 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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- alert: RemoteWriteConnectionIsSaturated
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expr: rate(vmagent_remotewrite_send_duration_seconds_total[5m]) > 0.9
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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=84&var-instance={{ $labels.instance }}"
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summary: "Remote write connection from \"{{ $labels.job }}\" (instance {{ $labels.instance }}) to {{ $labels.url }} is saturated"
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description: "The remote write connection between vmagent \"{{ $labels.job }}\" (instance {{ $labels.instance }}) and destination \"{{ $labels.url }}\"
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is saturated by more than 90% and vmagent won't be able to keep up.\n
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This usually means that `-remoteWrite.queues` command-line flag must be increased in order to increase
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the number of connections per each remote storage."
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