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docker-compose: provide the example list of alerting rules for vm components (#1005)
List contains examples for the alerting rules which might be executed via `vmalert` to track the health state of VM components. It is assumed that list will be revised and calibrated for each system individually.
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@ -1279,6 +1279,7 @@ The most interesting metrics are:
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VictoriaMetrics also exposes currently running queries with their execution times at `/api/v1/status/active_queries` page.
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VictoriaMetrics also exposes currently running queries with their execution times at `/api/v1/status/active_queries` page.
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See the example of alerting rules for VM components [here](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml).
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## Troubleshooting
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## Troubleshooting
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@ -1,23 +1,174 @@
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# 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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groups:
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- name: groupGorSingleAlert
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- name: serviceHealth
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rules:
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rules:
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- alert: VMRows
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# note the `job` filter and update accordingly to your setup
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for: 10s
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- alert: TooManyRestarts
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expr: vm_rows > 0
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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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labels:
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label: bar
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severity: critical
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host: "{{ $labels.instance }}"
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annotations:
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annotations:
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summary: "{{ $value|humanize }}"
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summary: "{{ $labels.job }} too many restarts (instance {{ $labels.instance }})"
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description: "{{$labels}}"
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description: "Job {{ $labels.job }} has restarted more than twice in the last 15 minutes.
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- name: TestGroup
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It might be crashlooping."
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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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rules:
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- alert: Conns
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- alert: DiskRunsOutOfSpaceIn3Days
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expr: sum(vm_tcplistener_conns) by(instance) > 1
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expr: |
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for: 5s
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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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annotations:
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summary: "Too high connection number for {{$labels.instance}}"
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dashboard: "http://localhost:3000/d/wNf0q_kZk?viewPanel=73&var-instance={{ $labels.instance }}"
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description: "It is {{ $value }} connections for {{$labels.instance}}"
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summary: "Instance {{ $labels.instance }} will run out of disk space soon"
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- alert: ExampleAlertAlwaysFiring
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description: "Taking into account current ingestion rate, free disk space will be enough only
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expr: sum by(job)
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for {{ $value | humanizeDuration }} on instance {{ $labels.instance }}.\n
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(up == 1)
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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: vm_concurrent_addrows_current >= 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: "VictoriMetrics 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: 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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# 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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