Clock is out of sync.\n VALUE = {{ $value }}\n LABELS, min_over_time(node_timex_sync_status[1m]) == 0 and node_timex_maxerror_seconds >=, Host clock not synchronising (instance {{ $labels.instance }}), Clock not synchronising.\n VALUE = {{ $value }}\n LABELS, Container killed (instance {{ $labels.instance }}), A container has disappeared\n VALUE = {{ $value }}\n LABELS. We're going to use a common exporter called the node_exporter which gathers Linux system stats like CPU, memory and disk usage. "}[1m]) >, PGBouncer errors (instance {{ $labels.instance }}), PGBouncer is logging errors. This uses rate (prometheus_tsdb_head_samples_appended_total [1h]), but the result is ~ … Today I want to tackle one apparently obvious thing, which is getting a graph (or numbers) of CPU utilization. How to install and configure Prometheuson your Linux servers; 2. Th… What should I do? # cAdvisor can sometimes consume a lot of CPU, so this alert will fire constantly. How to Push data. Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share … How to append namespace before metric name in prometheus? Prometheus and its exporters are on by default, starting with GitLab 9.0. InfluxDB v2.0 is the latest stable version. High disk space usage, since each time series data requires additional disk space. "translated from the Spanish"? Prometheus resource usage fundamentally depends on how much work you ask it to do, so ask Prometheus to do less work. Prometheus data can also be directly queried by name. Prometheus provides metrics of CPU, memory, disk usage, I/O, network statistics, MySQL server and Nginx. Swarmprom is a starter kit for Docker Swarm monitoring with Prometheus, Grafana, cAdvisor, Node Exporter, Alert Manager, and Unsee. A read failure is a non-timeout exception encountered during a read request. In this post we will be discussing how to set up application and infrastructure monitoring for Docker Swarm with the help of Prometheus. Give a name for the dashboard and then choose the data source as Prometheus. It might be crashlooping.\n VALUE = {{ $value }}\n LABELS, PrometheusAlertmanagerConfigurationReloadFailure, alertmanager_config_last_reload_successful !=, Prometheus AlertManager configuration reload failure (instance {{ $labels.instance }}), AlertManager configuration reload error\n VALUE = {{ $value }}\n LABELS, count(count_values("config_hash", alertmanager_config_hash)) >, Prometheus AlertManager config not synced (instance {{ $labels.instance }}), Configurations of AlertManager cluster instances are out of sync\n VALUE = {{ $value }}\n LABELS, Prometheus AlertManager E2E dead man switch (instance {{ $labels.instance }}), Prometheus DeadManSwitch is an always-firing alert. prometheus-disk-usage-exporter. *"}[3m]) >, Postgresql high rollback rate (instance {{ $labels.instance }}), Ratio of transactions being aborted compared to committed is > 2 %\n VALUE = {{ $value }}\n LABELS, Postgresql commit rate low (instance {{ $labels.instance }}), Postgres seems to be processing very few transactions\n VALUE = {{ $value }}\n LABELS, Postgresql low XID consumption (instance {{ $labels.instance }}), Postgresql seems to be consuming transaction IDs very slowly\n VALUE = {{ $value }}\n LABELS, Postgresqllow XLOG consumption (instance {{ $labels.instance }}), Postgres seems to be consuming XLOG very slowly\n VALUE = {{ $value }}\n LABELS, Postgresql WALE replication stopped (instance {{ $labels.instance }}), WAL-E replication seems to be stopped\n VALUE = {{ $value }}\n LABELS, rate(postgresql_errors_total{type="statement_timeout"}[1m]) >, Postgresql high rate statement timeout (instance {{ $labels.instance }}), Postgres transactions showing high rate of statement timeouts\n VALUE = {{ $value }}\n LABELS, increase(postgresql_errors_total{type="deadlock_detected"}[1m]) >, Postgresql high rate deadlock (instance {{ $labels.instance }}), Postgres detected deadlocks\n VALUE = {{ $value }}\n LABELS, (pg_xlog_position_bytes and pg_replication_is_replica == 0) - GROUP_RIGHT(instance) (pg_xlog_position_bytes and pg_replication_is_replica == 1) > 1e+09, Postgresql replication lag bytes (instance {{ $labels.instance }}), Postgres Replication lag (in bytes) is high\n VALUE = {{ $value }}\n LABELS, Postgresql unused replication slot (instance {{ $labels.instance }}), Unused Replication Slots\n VALUE = {{ $value }}\n LABELS, ((pg_stat_user_tables_n_dead_tup > 10000) / (pg_stat_user_tables_n_live_tup + pg_stat_user_tables_n_dead_tup)) >= 0.1 unless ON(instance) (pg_replication_is_replica == 1), Postgresql too many dead tuples (instance {{ $labels.instance }}), PostgreSQL dead tuples is too large\n VALUE = {{ $value }}\n LABELS, Postgresql split brain (instance {{ $labels.instance }}), Split Brain, too many primary Postgresql databases in read-write mode\n VALUE = {{ $value }}\n LABELS, pg_replication_is_replica and changes(pg_replication_is_replica[1m]) >, Postgresql promoted node (instance {{ $labels.instance }}), Postgresql standby server has been promoted as primary node\n VALUE = {{ $value }}\n LABELS, ON(__name__) {__name__=~"pg_settings_([^t]|t[^r]|tr[^a]|tra[^n]|tran[^s]|trans[^a]|transa[^c]|transac[^t]|transact[^i]|transacti[^o]|transactio[^n]|transaction[^_]|transaction_[^r]|transaction_r[^e]|transaction_re[^a]|transaction_rea[^d]|transaction_read[^_]|transaction_read_[^o]|transaction_read_o[^n]|transaction_read_on[^l]|transaction_read_onl[^y]).
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