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cae148d5c6
The purpose of the update is to make the dash more usable for large installations with many instances. Panels which showed metrics per-instance (Mem, CPU) now are showing metrics per-job or min/max/avg aggregations in % instead. This supposed to help immediately to identify resource shortage and remain usable for small and big installations. For cases when detailed info is needed, to the bottom of the dashboard a new row `Drilldown` was added. Panels like Mem or CPU now contain a `data-link` named `Drilldown` (cis shown on line click) which takes user to more detailed panel. The change list is the following: * bump Grafana version to 9.1.0; * replace old "Graph" panel with "TimeSeries" panel; * improve Uptime panel to show number of instances per job; * show % usage of Mem and CPU instead of absolute values; * `Caches` row was removed. All needed info for caches is now part of `Troubleshooting`; * add `Drilldown` section for detailed resource usage; * add Annotations for Alert triggers. Not all alerts are supposed to be displayed on the dashboard, but only those with label `show_at: dashboard`. See `alerts-cluster.yml` change. Signed-off-by: hagen1778 <roman@victoriametrics.com> Signed-off-by: hagen1778 <roman@victoriametrics.com>
193 lines
9.1 KiB
YAML
193 lines
9.1 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 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=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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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_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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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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