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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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b275983403
Previously the -maxConcurrentInserts was limiting the number of established client connections, which write data to VictoriaMetrics. Some of these connections could be idle. Such connections do not consume big amounts of CPU and RAM, so there is a little sense in limiting the number of such connections. So now the -maxConcurrentInserts command-line option limits the number of concurrently executed insert requests, not including idle connections. It is recommended removing -maxConcurrentInserts command-line option, since the default value for this option should work good for most cases.
194 lines
9.2 KiB
YAML
194 lines
9.2 KiB
YAML
# File contains default list of alerts for VictoriaMetrics cluster.
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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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# Alerts group for VM cluster assumes that Grafana dashboard
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# https://grafana.com/grafana/dashboards/11176-victoriametrics-cluster/ 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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(
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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 > 0
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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=200&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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show_at: dashboard
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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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) > 0
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for: 15m
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labels:
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severity: warning
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show_at: dashboard
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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_insert_current[1m]) >= vm_concurrent_insert_capacity
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for: 15m
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labels:
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severity: warning
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show_at: dashboard
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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: 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: VminsertVmstorageConnectionIsSaturated
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expr: rate(vm_rpc_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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show_at: dashboard
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annotations:
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dashboard: "http://localhost:3000/d/oS7Bi_0Wz?viewPanel=139&var-instance={{ $labels.instance }}"
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summary: "Connection between vminsert on {{ $labels.instance }} and vmstorage on {{ $labels.addr }} is saturated"
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description: "The connection between vminsert (instance {{ $labels.instance }}) and vmstorage (instance {{ $labels.addr }})
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is saturated by more than 90% and vminsert won't be able to keep up.\n
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This usually means that more vminsert or vmstorage nodes must be added to the cluster in order to increase
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the total number of vminsert -> vmstorage links."
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