# File contains default list of alerts for vm-single and vmagent services. # The alerts below are just recommendations and may require some updates # and threshold calibration according to every specific setup. groups: - name: serviceHealth rules: # note the `job` filter and update accordingly to your setup - alert: TooManyRestarts expr: changes(process_start_time_seconds{job=~"victoriametrics|vmagent|vmalert"}[15m]) > 2 labels: severity: critical annotations: summary: "{{ $labels.job }} too many restarts (instance {{ $labels.instance }})" description: "Job {{ $labels.job }} has restarted more than twice in the last 15 minutes. It might be crashlooping." # Alerts group for VM single assumes that Grafana dashboard # https://grafana.com/grafana/dashboards/10229 is installed. # Pls update the `dashboard` annotation according to your setup. - name: vmsingle interval: 30s concurrency: 2 rules: - alert: DiskRunsOutOfSpaceIn3Days expr: | vm_free_disk_space_bytes / ignoring(path) ( ( sum(rate(vm_rows_added_to_storage_total[1d])) - sum(rate(vm_deduplicated_samples_total[1d])) without(type) ) * ( sum(vm_data_size_bytes{type!="indexdb"}) / sum(vm_rows{type!="indexdb"}) ) ) < 3 * 24 * 3600 for: 30m labels: severity: critical annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=73&var-instance={{ $labels.instance }}" summary: "Instance {{ $labels.instance }} will run out of disk space soon" description: "Taking into account current ingestion rate, free disk space will be enough only for {{ $value | humanizeDuration }} on instance {{ $labels.instance }}.\n Consider to limit the ingestion rate, decrease retention or scale the disk space if possible." - alert: RequestErrorsToAPI expr: increase(vm_http_request_errors_total[5m]) > 0 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=35&var-instance={{ $labels.instance }}" summary: "Too many errors served for path {{ $labels.path }} (instance {{ $labels.instance }})" description: "Requests to path {{ $labels.path }} are receiving errors. Please verify if clients are sending correct requests." - alert: ConcurrentFlushesHitTheLimit expr: vm_concurrent_addrows_current >= vm_concurrent_addrows_capacity for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=59&var-instance={{ $labels.instance }}" summary: "VictoriMetrics on instance {{ $labels.instance }} is constantly hitting concurrent flushes limit" description: "The limit of concurrent flushes on instance {{ $labels.instance }} is equal to number of CPUs.\n When VictoriaMetrics constantly hits the limit it means that storage is overloaded and requires more CPU." - alert: TooManyLogs expr: sum(increase(vm_log_messages_total{level!="info"}[5m])) by (job, instance) > 0 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=67&var-instance={{ $labels.instance }}" summary: "Too many logs printed for job \"{{ $labels.job }}\" ({{ $labels.instance }})" description: "Logging rate for job \"{{ $labels.job }}\" ({{ $labels.instance }}) is {{ $value }} for last 15m.\n Worth to check logs for specific error messages." - alert: RowsRejectedOnIngestion expr: sum(rate(vm_rows_ignored_total[5m])) by (instance, reason) > 0 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=58&var-instance={{ $labels.instance }}" summary: "Some rows are rejected on \"{{ $labels.instance }}\" on ingestion attempt" description: "VM is rejecting to ingest rows on \"{{ $labels.instance }}\" due to the following reason: \"{{ $labels.reason }}\"" - alert: TooHighChurnRate expr: | ( sum(rate(vm_new_timeseries_created_total[5m])) by(instance) / sum(rate(vm_rows_inserted_total[5m])) by (instance) ) > 0.1 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=66&var-instance={{ $labels.instance }}" summary: "Churn rate is more than 10% on \"{{ $labels.instance }}\" for the last 15m" description: "VM constantly creates new time series on \"{{ $labels.instance }}\".\n This effect is known as Churn Rate.\n High Churn Rate tightly connected with database performance and may result in unexpected OOM's or slow queries." - alert: TooHighChurnRate24h expr: | sum(increase(vm_new_timeseries_created_total[24h])) by(instance) > (sum(vm_cache_entries{type="storage/hour_metric_ids"}) by(instance) * 3) for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=66&var-instance={{ $labels.instance }}" summary: "Too high number of new series on \"{{ $labels.instance }}\" created over last 24h" description: "The number of created new time series over last 24h is 3x times higher than current number of active series on \"{{ $labels.instance }}\".\n This effect is known as Churn Rate.\n High Churn Rate tightly connected with database performance and may result in unexpected OOM's or slow queries." - alert: TooHighSlowInsertsRate expr: | ( sum(rate(vm_slow_row_inserts_total[5m])) by(instance) / sum(rate(vm_rows_inserted_total[5m])) by (instance) ) > 0.5 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=68&var-instance={{ $labels.instance }}" summary: "Percentage of slow inserts is more than 50% on \"{{ $labels.instance }}\" for the last 15m" description: "High rate of slow inserts on \"{{ $labels.instance }}\" may be a sign of resource exhaustion for the current load. It is likely more RAM is needed for optimal handling of the current number of active time series." - alert: ProcessNearFDLimits expr: process_open_fds / process_max_fds > 0.8 for: 10m labels: severity: critical annotations: summary: "Number of free file descriptors is less than 20% for \"{{ $labels.job }}\"(\"{{ $labels.instance }}\") for the last 10m" description: "Exhausting OS file descriptors limit can cause severe degradation of the process. Consider to increase the limit as fast as possible." # Alerts group for vmagent assumes that Grafana dashboard # https://grafana.com/grafana/dashboards/12683 is installed. # Pls update the `dashboard` annotation according to your setup. - name: vmagent interval: 30s concurrency: 2 rules: - alert: PersistentQueueIsDroppingData expr: sum(increase(vm_persistentqueue_bytes_dropped_total[5m])) by (job, instance) > 0 for: 10m labels: severity: critical annotations: dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=49&var-instance={{ $labels.instance }}" summary: "Instance {{ $labels.instance }} is dropping data from persistent queue" description: "Vmagent dropped {{ $value | humanize1024 }} from persistent queue on instance {{ $labels.instance }} for the last 10m." - alert: TooManyScrapeErrors expr: sum(increase(vm_promscrape_scrapes_failed_total[5m])) by (job, instance) > 0 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=31&var-instance={{ $labels.instance }}" summary: "Job \"{{ $labels.job }}\" on instance {{ $labels.instance }} fails to scrape targets for last 15m" - alert: TooManyWriteErrors expr: | (sum(increase(vm_ingestserver_request_errors_total[5m])) by (job, instance) + sum(increase(vmagent_http_request_errors_total[5m])) by (job, instance)) > 0 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=77&var-instance={{ $labels.instance }}" summary: "Job \"{{ $labels.job }}\" on instance {{ $labels.instance }} responds with errors to write requests for last 15m." - alert: TooManyRemoteWriteErrors expr: sum(rate(vmagent_remotewrite_retries_count_total[5m])) by(job, instance, url) > 0 for: 15m labels: severity: warning annotations: dashboard: "http://localhost:3000/d/G7Z9GzMGz?viewPanel=61&var-instance={{ $labels.instance }}" summary: "Job \"{{ $labels.job }}\" on instance {{ $labels.instance }} fails to push to remote storage" description: "Vmagent fails to push data via remote write protocol to destination \"{{ $labels.url }}\"\n Ensure that destination is up and reachable."