This lets you keep, analyze, and use data in a more efficient way regardless of the data. InsightsMetrics | where Namespace == "prometheus" | where Name contains "some_prometheus_metric" Query config or scraping errors. Following are the command line flags :- It will export metrics such as the CPU usage, the memory and the disk I/O usage. Example: Endpoints in Prometheus configuration file Prometheus is written in Go and use query language for data processing. I thought I was going mad, just ended up being stupid. See, for example, high disk space usage in Thanos Compactor. GitHub Gist: instantly share code, notes, and snippets. Disk usage. Thus, to avoid blowing this post out of proportion and just copying, and pasting the source code, I will sum things up. Updated 31.07.2018 supports … site design / logo © 2021 Stack Exchange Inc; user contributions licensed under cc by-sa. How to calculate disk space required by Prometheus v2.2? The results will be similar to: Prometheus Query Result. Stack Exchange network consists of 176 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. Please check ntp and hardware clock settings\n VALUE = {{ $value }}\n LABELS, Ceph monitor low space (instance {{ $labels.instance }}), Ceph monitor storage is low.\n VALUE = {{ $value }}\n LABELS, Ceph OSD Down (instance {{ $labels.instance }}), Ceph Object Storage Daemon Down\n VALUE = {{ $value }}\n LABELS, Ceph high OSD latency (instance {{ $labels.instance }}), Ceph Object Storage Daemon latency is high. # Indicate the queue name in dedicated label. We are trying to calculate the storage requirements but is unable to find the values needed to do the calculation for our version of Prometheus (v2.2). For example if you have high-cardinality metrics where you always just … It joins a Thanos cluster on startup and advertises the data it can access. Can the Hamiltonian be interpreted as the "speed" of unitary evolution? In this tutorial we will cover the installation of Prometheus and its usage to monitor the CentOS 7 server by following the steps as shown below. Grafana itself persists data about the dashboards it has saved, but no data is actually held in Grafana. The first task is collecting the data we'd like to monitor and report it to a URL reachable by the Prometheus server. Using the dashboard we have created , We can check the resources used by the servers. #1.1.5. Prometheus stateful set is labelled as thanos-store-api: true so that each pod gets discovered by the headless service, which we will create next. Request throughput may be to high.\n VALUE = {{ $value }}\n LABELS, avg_over_time(((sum by (proxy) (haproxy_server_max_sessions)) / (sum by (proxy) (haproxy_server_limit_sessions))) [2m]) * 100 >, HAProxy backend max active session (instance {{ $labels.instance }}), HAproxy backend {{ $labels.fqdn }}/{{ $labels.backend }} is reaching session limit (> 80%).\n VALUE = {{ $value }}\n LABELS, sum by (proxy) (rate(haproxy_backend_current_queue[2m])) >, HAProxy pending requests (instance {{ $labels.instance }}), Some HAProxy requests are pending on {{ $labels.fqdn }}/{{ $labels.backend }} backend\n VALUE = {{ $value }}\n LABELS, avg by (proxy) (haproxy_backend_max_total_time_seconds) >, HAProxy HTTP slowing down (instance {{ $labels.instance }}), Average request time is increasing\n VALUE = {{ $value }}\n LABELS, sum by (proxy) (rate(haproxy_backend_retry_warnings_total[1m])) >, HAProxy retry high (instance {{ $labels.instance }}), High rate of retry on {{ $labels.fqdn }}/{{ $labels.backend }} backend\n VALUE = {{ $value }}\n LABELS, HAProxy proxy down (instance {{ $labels.instance }}), HAProxy proxy is down\n VALUE = {{ $value }}\n LABELS, HAProxy server down (instance {{ $labels.instance }}), HAProxy backend is down\n VALUE = {{ $value }}\n LABELS, sum by (proxy) (rate(haproxy_frontend_denied_connections_total[2m])) >, HAProxy frontend security blocked requests (instance {{ $labels.instance }}), HAProxy is blocking requests for security reason\n VALUE = {{ $value }}\n LABELS, increase(haproxy_server_check_failures_total[1m]) >, HAProxy server healthcheck failure (instance {{ $labels.instance }}), Some server healthcheck are failing on {{ $labels.server }}\n VALUE = {{ $value }}\n LABELS, HAProxy down (instance {{ $labels.instance }}), HAProxy down\n VALUE = {{ $value }}\n LABELS, sum by (backend) rate(haproxy_server_http_responses_total{code="4xx"}[1m]) / sum by (backend) rate(haproxy_server_http_responses_total[1m]) * 100 >, sum by (backend) rate(haproxy_server_http_responses_total{code="5xx"}[1m]) / sum by (backend) rate(haproxy_server_http_responses_total[1m]) * 100 >, sum by (server) rate(haproxy_server_http_responses_total{code="4xx"}[1m]) / sum by (backend) rate(haproxy_server_http_responses_total[1m]) * 100 >, sum by (server) rate(haproxy_server_http_responses_total{code="5xx"}[1m]) / sum by (backend) rate(haproxy_server_http_responses_total[1m]) * 100 >, sum by (server) rate(haproxy_server_response_errors_total[1m]) / sum by (server) rate(haproxy_server_http_responses_total[1m]) * 100 >, sum by (backend) rate(haproxy_backend_connection_errors_total[1m]) >, sum by (server) rate(haproxy_server_connection_errors_total[1m]) >, ((sum by (backend) (avg_over_time(haproxy_backend_max_sessions[2m])) / sum by (backend) (avg_over_time(haproxy_backend_limit_sessions[2m]))) * 100) >, sum by (backend) haproxy_backend_current_queue >, avg by (backend) (haproxy_backend_http_total_time_average_seconds) >, rate(sum by (backend) (haproxy_backend_retry_warnings_total)) >, HAProxy backend down (instance {{ $labels.instance }}), HAProxy server is down\n VALUE = {{ $value }}\n LABELS, rate(sum by (frontend) (haproxy_frontend_requests_denied_total)) >, increase(haproxy_server_check_failures_total) >, count(traefik_backend_server_up) by (backend) ==, Traefik backend down (instance {{ $labels.instance }}), All Traefik backends are down\n VALUE = {{ $value }}\n LABELS, sum(rate(traefik_backend_requests_total{code=~"4. Envoy sidecars might have outdated configuration.\n VALUE = {{ $value }}\n LABELS, sum(rate(mixer_runtime_dispatches_total{adapter=~"prometheus"}[1m])) <, Istio Mixer Prometheus dispatches low (instance {{ $labels.instance }}), Number of Mixer dispatches to Prometheus is too low. The WMI exporter is an awesome exporter for Windows Servers. Thanks for contributing an answer to DevOps Stack Exchange! Garbage Disposal - Water Shoots Up Non-Disposal Side. What's the status of "Doktorin" (female doctor)? I am trying to develop one query to show the CPU Usage(%) for one specific process in one windows server. Number of spare drives is insufficient to fix issue automatically.\n VALUE = {{ $value }}\n LABELS, Host RAID disk failure (instance {{ $labels.instance }}), At least one device in RAID array on {{ $labels.instance }} failed. The Prometheus ecosystem consists of multiple components that are are written in Go language, making them easy to build and deploy as static binaries. Using the wmi_exporter or the scollector_exporter with Prometheus I am finding it difficult to get accurate CPU usage. Prometheus is exactly that tool, it can identify memory usage, CPU usage, available disk space, etc. You can find out how many samples your server is ingesting with this query: It keeps a small amount of information about all remote blocks on local disk and keeps it in-sync with the bucket. Today I want to tackle one apparently obvious thing, which is getting a graph (or numbers) of CPU utilization. The URLs must be resolvable from your running Prometheus server and use the port on which InfluxDB is running (8086 by default). Prometheus is written in Go and use query language for data processing. What happened in April 2020 on devops.se? In our previous tutorial, we built a complete Grafana dashboard in order to monitor CPU and memory usages. sample rate = rate(prometheus_local_storage_ingested_samples_total{job="prometheus",instance="$Prometheus:9090"}[1m]), The other side is ingestion, which is way easier to reason with capacity-wise. Prometheus is awesome, but the human mind doesn't work in PromQL. As was pointed out, our math was broken, so the below metrics worked for the calculation. Alert thresholds depend on nature of applications. Execute a Prometheus query. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting. , Prometheus job missing (instance {{ $labels.instance }}), A Prometheus job has disappeared\n VALUE = {{ $value }}\n LABELS, Prometheus target missing (instance {{ $labels.instance }}), A Prometheus target has disappeared. "}[1m]) >, PGBouncer errors (instance {{ $labels.instance }}), PGBouncer is logging errors. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting. This query language allows you to slice and dice your dimensional data to answer operational questions in an ad-hoc way, display trends in dashboards, or generate alerts about failures in your systems.In this tutorial, we will learn how to query Prometheus 1.3.1. On disk, Prometheus tends to use … When performing basic system troubleshooting, you want to have a complete overview of every single metric on your system : CPU, memory but more importantly a great view over the disk I/O usage.. https://metrics:[WRITE_TOKEN]@prometheus. So in total we see that the imported snapshot occupies about 73MB of disk space with avg 0.346 bytes per sample. Another useful metric to query and visualize is the prometheus_local_storage_chunk_ops_total metric that reports the per-second rate of all storage chunk operations taking place in Prometheus. However having to hit disk for a regular query due to not having enough page cache would be suboptimal for performance, so I'd advise against. Prometheus and its exporters are on by default, starting with GitLab 9.0. Prometheus runs as the gitlab ... or through a compatible dashboard tool. # Alert threshold depends on nature of application. To calculate disk space required by Prometheus v2.20 in bytes, use the query: Where retention_time_seconds is the value you've configured for --storage.tsdb.retention.time, which defaults to 15d = 1296000 seconds. Making statements based on opinion; back them up with references or personal experience. Give a name for the dashboard and then choose the data source as Prometheus. Prometheus: Get CPU Usage % for one specific process from windows_exporter. Please add more disks.\n VALUE = {{ $value }}\n LABELS, Ceph OSD reweighted (instance {{ $labels.instance }}), Ceph Object Storage Daemon takes too much time to resize.\n VALUE = {{ $value }}\n LABELS, Ceph PG down (instance {{ $labels.instance }}), Some Ceph placement groups are down. If this alert happens frequently, we may need to increase the postgres setting max_locks_per_transaction.\n VALUE = {{ $value }}\n LABELS, SQL Server down (instance {{ $labels.instance }}), SQL server instance is down\n VALUE = {{ $value }}\n LABELS, SQL Server deadlock (instance {{ $labels.instance }}), SQL Server is having some deadlock.\n VALUE = {{ $value }}\n LABELS, pgbouncer_pools_server_active_connections >, PGBouncer active connectinos (instance {{ $labels.instance }}), PGBouncer pools are filling up\n VALUE = {{ $value }}\n LABELS, increase(pgbouncer_errors_count{errmsg!="server conn crashed? This query language can be used to select and aggregate time series data in real time and the result of the query can be shown as a graph, table or can be used by other clients to visualize the data. How to append namespace before metric name in prometheus? *"} OFFSET 5m, Postgresql configuration changed (instance {{ $labels.instance }}), Postgres Database configuration change has occurred\n VALUE = {{ $value }}\n LABELS, Postgresql SSL compression active (instance {{ $labels.instance }}), Database connections with SSL compression enabled. Let’s look at final disk space usage stats: VictoriaMetrics: 7.2GB . Why don't we see the Milky Way out the windows in Star Trek? Asking for help, clarification, or responding to other answers. Is it possible to modify this Minecraft contraption to make the cart leave if it is full? Can an inverter through a battery charger charge its own batteries? Prometheus stores numeric examples of named time series. 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. Query Prometheus metrics data The following example is a Prometheus metrics query showing disk reads per second per disk per node. # 1000 context switches is an arbitrary number. Active today. Prometheus resource usage fundamentally depends on how much work you ask it to do, so ask Prometheus to do less work. For better or worse, the Prometheus code has a lot of types. We can do this via the Prometheus WebUI, or we can use … Give a name for the dashboard and then choose the data source as Prometheus. Prometheus + Grafana is a common combination of tools to build up a monitoring system. A noisy neighbor is killing VM performances or a spot instance may be out of credit.\n VALUE = {{ $value }}\n LABELS. In the “Expression” input box at the top of the web page, enter the text: istio_requests_total Then, click the Execute button. scrape them every 5 seconds. In the “Expression” input box at the top of the web page, enter the text: istio_requests_total Then, click the Execute button. Prometheus monitoring is quickly becoming the Docker and Kubernetes monitoring tool to use. Once the exporter is running it'll host the parseable data on port 9100, this is configurable by passing the flag -web.listen-add… It is this headless service which will be used by the Thanos Querier to query data across all Prometheus instances. To investigate any configuration or scraping errors, the following example query returns informational events from the KubeMonAgentEvents table. High disk space usage, since each time series data requires additional disk space. # The exporter must be started with --include-system-metrics flag or REDIS_EXPORTER_INCL_SYSTEM_METRICS=true environment variable. Monitoring disk I/O on a Linux system is crucial for every system administrator.. and then click Import. It does this by a calculation based on the idle metric of the CPU, working out the overall percentage of the other states for a CPU in a 5 minute window and presenting that data per instance . By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy. Disk usage; Frequently asked questions Prometheus endpoints support in InfluxDB. This can occur when replica nodes lose connection to the master and reconnect (a.k.a flapping).\n VALUE = {{ $value }}\n LABELS, time() - redis_rdb_last_save_timestamp_seconds > 60 * 60 *, Redis missing backup (instance {{ $labels.instance }}), Redis has not been backuped for 24 hours\n VALUE = {{ $value }}\n LABELS. For Grafana there is also an official Docker image available for you to use. Prometheus too many restarts Prometheus has restarted more than twice in the last 15 minutes. If you use the ~18600 number you found I get a very different result from 68TiB: 2,592,000 (seconds) * 18600 (samples/second) * 1.3 (bytes/sample) = 62,674,560,000 (bytes). *"}[1m])) / node_network_speed_bytes{device!~"^tap. We're going to use a common exporter called the node_exporter which gathers Linux system stats like CPU, memory and disk usage. Prometheus has various metric types such as Counter, Gauge, Histogram and Summary. There are also some other collectors you can set up based on your individual setup, however we are going to enable only the node collector here. Data is available but inconsistent across nodes.\n VALUE = {{ $value }}\n LABELS, Ceph PG activation long (instance {{ $labels.instance }}), Some Ceph placement groups are too long to activate.\n VALUE = {{ $value }}\n LABELS, Ceph PG backfill full (instance {{ $labels.instance }}), Some Ceph placement groups are located on full Object Storage Daemon on cluster. Prometheus is a free software application used for event monitoring and alerting. )$"}[1m])) / sum(rate(apiserver_request_count{job="apiserver"}[1m])) * 100 >, Kubernetes API server errors (instance {{ $labels.instance }}), Kubernetes API server is experiencing high error rate\n VALUE = {{ $value }}\n LABELS, (sum(rate(rest_client_requests_total{code=~"(4|5).."}[1m])) by (instance, job) / sum(rate(rest_client_requests_total[1m])) by (instance, job)) * 100 >, Kubernetes API client errors (instance {{ $labels.instance }}), Kubernetes API client is experiencing high error rate\n VALUE = {{ $value }}\n LABELS, KubernetesClientCertificateExpiresNextWeek, apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 7*24*60*60, Kubernetes client certificate expires next week (instance {{ $labels.instance }}), A client certificate used to authenticate to the apiserver is expiring next week.\n VALUE = {{ $value }}\n LABELS, apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 24*60*60, Kubernetes client certificate expires soon (instance {{ $labels.instance }}), A client certificate used to authenticate to the apiserver is expiring in less than 24.0 hours.\n VALUE = {{ $value }}\n LABELS, histogram_quantile(0.99, sum(rate(apiserver_request_latencies_bucket{subresource!="log",verb!~"^(? What is the likelihood I get in trouble for forgetting to file cryptocurrency taxes? A certain amount of Prometheus's query language is reasonably obvious, but once you start getting into the details and the clever tricks you wind up needing to wrap your mind around how PromQL wants you to think about its world. The most common cause for this type of error is when batch sizes are too large.\n VALUE = {{ $value }}\n LABELS, cassandra_stats{name="org:apache:cassandra:metrics:cache:keycache:hitrate:value"} < .85, Cassandra cache hit rate key cache (instance {{ $labels.instance }}), Key cache hit rate is below 85%\n VALUE = {{ $value }}\n LABELS, // @TODO: Please contribute => https://github.com/samber/awesome-prometheus-alerts , Zookeeper Down (instance {{ $labels.instance }}), Zookeeper down on instance {{ $labels.instance }}\n VALUE = {{ $value }}\n LABELS, Zookeeper missing leader (instance {{ $labels.instance }}), Zookeeper cluster has no node marked as leader\n VALUE = {{ $value }}\n LABELS, Zookeeper Too Many Leaders (instance {{ $labels.instance }}), Zookeeper cluster has too many nodes marked as leader\n VALUE = {{ $value }}\n LABELS, Zookeeper Not Ok (instance {{ $labels.instance }}), Zookeeper instance is not ok\n VALUE = {{ $value }}\n LABELS, sum(kafka_topic_partition_in_sync_replica) by (topic) <, Kafka topics replicas (instance {{ $labels.instance }}), Kafka topic in-sync partition\n VALUE = {{ $value }}\n LABELS, sum(kafka_consumergroup_lag) by (consumergroup) >, Kafka consumers group (instance {{ $labels.instance }}), Kafka consumers group\n VALUE = {{ $value }}\n LABELS, delta(kafka_burrow_partition_current_offset[1m]) <, Kafka topic offset decreased (instance {{ $labels.instance }}), Kafka topic offset has decreased\n VALUE = {{ $value }}\n LABELS, Kafka consumer lag (instance {{ $labels.instance }}), Kafka consumer has a 30 minutes and increasing lag\n VALUE = {{ $value }}\n LABELS, sum(rate(nginx_http_requests_total{status=~"^4.."}[1m])) / sum(rate(nginx_http_requests_total[1m])) * 100 >, Nginx high HTTP 4xx error rate (instance {{ $labels.instance }}), Too many HTTP requests with status 4xx (> 5%)\n VALUE = {{ $value }}\n LABELS, sum(rate(nginx_http_requests_total{status=~"^5.."}[1m])) / sum(rate(nginx_http_requests_total[1m])) * 100 >, Nginx high HTTP 5xx error rate (instance {{ $labels.instance }}), Too many HTTP requests with status 5xx (> 5%)\n VALUE = {{ $value }}\n LABELS, histogram_quantile(0.99, sum(rate(nginx_http_request_duration_seconds_bucket[2m])) by (host, node)) >, Nginx latency high (instance {{ $labels.instance }}), Nginx p99 latency is higher than 3 seconds\n VALUE = {{ $value }}\n LABELS, Apache down (instance {{ $labels.instance }}), Apache down\n VALUE = {{ $value }}\n LABELS, (sum by (instance) (apache_workers{state="busy"}) / sum by (instance) (apache_scoreboard) ) * 100 >, Apache workers load (instance {{ $labels.instance }}), Apache workers in busy state approach the max workers count 80% workers busy on {{ $labels.instance }}\n VALUE = {{ $value }}\n LABELS, Apache restart (instance {{ $labels.instance }}), Apache has just been restarted.\n VALUE = {{ $value }}\n LABELS, ((sum by (server) (rate(haproxy_server_http_responses_total{code="4xx"}[1m])) / sum by (proxy) (rate(haproxy_server_http_responses_total[1m]))) * 100) >, HAProxy high HTTP 4xx error rate backend (instance {{ $labels.instance }}), Too many HTTP requests with status 4xx (> 5%) on backend {{ $labels.fqdn }}/{{ $labels.backend }}\n VALUE = {{ $value }}\n LABELS, ((sum by (server) (rate(haproxy_server_http_responses_total{code="5xx"}[1m])) / sum by (proxy) (rate(haproxy_server_http_responses_total[1m]))) * 100) >, HAProxy high HTTP 5xx error rate backend (instance {{ $labels.instance }}), Too many HTTP requests with status 5xx (> 5%) on backend {{ $labels.fqdn }}/{{ $labels.backend }}\n VALUE = {{ $value }}\n LABELS, HAProxy high HTTP 4xx error rate server (instance {{ $labels.instance }}), Too many HTTP requests with status 4xx (> 5%) on server {{ $labels.server }}\n VALUE = {{ $value }}\n LABELS, HAProxy high HTTP 5xx error rate server (instance {{ $labels.instance }}), Too many HTTP requests with status 5xx (> 5%) on server {{ $labels.server }}\n VALUE = {{ $value }}\n LABELS, (sum by (server) (rate(haproxy_server_response_errors_total[1m])) / sum by (server) (rate(haproxy_server_http_responses_total[1m]))) * 100 >, HAProxy server response errors (instance {{ $labels.instance }}), Too many response errors to {{ $labels.server }} server (> 5%).\n VALUE = {{ $value }}\n LABELS, (sum by (proxy) (rate(haproxy_backend_connection_errors_total[1m]))) >, HAProxy backend connection errors (instance {{ $labels.instance }}), Too many connection errors to {{ $labels.fqdn }}/{{ $labels.backend }} backend (> 100 req/s).