mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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177 lines
9.2 KiB
Markdown
177 lines
9.2 KiB
Markdown
---
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sort: 13
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---
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# Quick start
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## How to install
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VictoriaMetrics is distributed in two forms:
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* [Single-server-VictoriaMetrics](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html) - all-in-one
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binary, which is very easy to use and maintain.
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Single-server-VictoriaMetrics perfectly scales vertically and easily handles millions of metrics/s;
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* [VictoriaMetrics Cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html) - set of components
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for building horizontally scalable clusters.
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Single-server-VictoriaMetrics VictoriaMetrics is available as:
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* [Managed VictoriaMetrics at AWS](https://aws.amazon.com/marketplace/pp/prodview-4tbfq5icmbmyc)
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* [Docker images](https://hub.docker.com/r/victoriametrics/victoria-metrics/)
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* [Snap packages](https://snapcraft.io/victoriametrics)
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* [Helm Charts](https://github.com/VictoriaMetrics/helm-charts#list-of-charts)
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* [Binary releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases)
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* [Source code](https://github.com/VictoriaMetrics/VictoriaMetrics).
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See [How to build from sources](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-build-from-sources)
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* [VictoriaMetrics on Linode](https://www.linode.com/marketplace/apps/victoriametrics/victoriametrics/)
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* [VictoriaMetrics on DigitalOcean](https://marketplace.digitalocean.com/apps/victoriametrics-single)
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Just download VictoriaMetrics and follow
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[these instructions](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-start-victoriametrics).
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Then read [Prometheus setup](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#prometheus-setup)
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and [Grafana setup](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#grafana-setup) docs.
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VictoriaMetrics is developed at a fast pace, so it is recommended periodically checking the [CHANGELOG](https://docs.victoriametrics.com/CHANGELOG.html) and performing [regular upgrades](https://docs.victoriametrics.com/#how-to-upgrade-victoriametrics).
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### Starting VM-Single via Docker
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The following commands download the latest available
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[Docker image of VictoriaMetrics](https://hub.docker.com/r/victoriametrics/victoria-metrics)
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and start it at port 8428, while storing the ingested data at `victoria-metrics-data` subdirectory
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under the current directory:
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<div class="with-copy" markdown="1">
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```console
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docker pull victoriametrics/victoria-metrics:latest
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docker run -it --rm -v `pwd`/victoria-metrics-data:/victoria-metrics-data -p 8428:8428 victoriametrics/victoria-metrics:latest
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```
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</div>
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Open <a href="http://localhost:8428">http://localhost:8428</a> in web browser
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and read [these docs](https://docs.victoriametrics.com/#operation).
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There is also [VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html)
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- horizontally scalable installation, which scales to multiple nodes.
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### Starting VM-Cluster via Docker
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The following commands clone the latest available
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[VictoriaMetrics repository](https://github.com/VictoriaMetrics/VictoriaMetrics)
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and start the docker container via 'make docker-cluster-up'. Further customization is possible by editing
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the [docker-compose-cluster.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/docker-compose-cluster.yml)
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file.
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<div class="with-copy" markdown="1">
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```console
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git clone https://github.com/VictoriaMetrics/VictoriaMetrics &&
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make docker-cluster-up
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```
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</div>
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See more details [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker#readme).
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* [Cluster setup](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#cluster-setup)
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## Write data
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There are two main models in monitoring for data collection:
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[push](https://docs.victoriametrics.com/keyConcepts.html#push-model)
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and [pull](https://docs.victoriametrics.com/keyConcepts.html#pull-model).
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Both are used in modern monitoring and both are supported by VictoriaMetrics.
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See more details on [writing data here](https://docs.victoriametrics.com/keyConcepts.html#write-data).
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## Query data
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VictoriaMetrics provides an
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[HTTP API](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#prometheus-querying-api-usage)
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for serving read queries. The API is used in various integrations such as
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[Grafana](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#grafana-setup).
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The same API is also used by
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[VMUI](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#vmui) - graphical User Interface
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for querying and visualizing metrics.
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[MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) - is he query language for executing read queries
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in VictoriaMetrics. MetricsQL is a [PromQL](https://prometheus.io/docs/prometheus/latest/querying/basics)
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-like query language with a powerful set of functions and features for working specifically with time series data.
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See more details on [querying data here](https://docs.victoriametrics.com/keyConcepts.html#query-data)
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## Alerting
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It is not possible to physically trace all changes on graphs all the time, that is why alerting exists.
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In [vmalert](https://docs.victoriametrics.com/vmalert.html) it is possible to create a set of conditions
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based on PromQL and MetricsQL queries that will send a notification when such conditions are met.
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## Data migration
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Migrating data from other TSDBs to VictoriaMetrics is as simple as importing data via any of
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[supported formats](https://docs.victoriametrics.com/keyConcepts.html#push-model).
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The migration might get easier when using [vmctl](https://docs.victoriametrics.com/vmctl.html) - VictoriaMetrics
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command line tool. It supports the following databases for migration to VictoriaMetrics:
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* [Prometheus using snapshot API](https://docs.victoriametrics.com/vmctl.html#migrating-data-from-prometheus);
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* [Thanos](https://docs.victoriametrics.com/vmctl.html#migrating-data-from-thanos);
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* [InfluxDB](https://docs.victoriametrics.com/vmctl.html#migrating-data-from-influxdb-1x);
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* [OpenTSDB](https://docs.victoriametrics.com/vmctl.html#migrating-data-from-opentsdb);
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* [Migrate data between VictoriaMetrics single and cluster versions](https://docs.victoriametrics.com/vmctl.html#migrating-data-from-victoriametrics).
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## Productionisation
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When going to production with VictoriaMetrics we recommend following the recommendations.
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### Monitoring
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Each VictoriaMetrics component emits its own metrics with various details regarding performance
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and health state. Docs for the components also contain a `Monitoring` section with an explanation
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of what and how should be monitored. For example,
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[Single-server-VictoriaMetrics Monitoring](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#monitoring).
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VictoriaMetric team prepared a list of [Grafana dashboards](https://grafana.com/orgs/victoriametrics/dashboards)
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for the main components. Each dashboard contains a lot of useful information and tips. It is recommended
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to have these dashboards installed and up to date.
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The list of alerts for [single](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml)
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and [cluster](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/cluster/deployment/docker/alerts.yml)
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versions would also help to identify and notify about issues with the system.
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The rule of thumb is to have a separate installation of VictoriaMetrics or any other monitoring system
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to monitor the production installation of VictoriaMetrics. This would make monitoring independent and
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will help identify problems with the main monitoring installation.
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See more details in the article [VictoriaMetrics Monitoring](https://victoriametrics.com/blog/victoriametrics-monitoring/).
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### Capacity planning
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See capacity planning sections in [docs](https://docs.victoriametrics.com) for
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[Single-server-VictoriaMetrics](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#capacity-planning).
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and [VictoriaMetrics Cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#capacity-planning).
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Capacity planning isn't possible without [monitoring](#monitoring), so consider configuring it first.
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Understanding resource usage and performance of VictoriaMetrics also requires knowing the tech terms
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[active series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series),
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[churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate),
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[cardinality](https://docs.victoriametrics.com/FAQ.html#what-is-high-cardinality),
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[slow inserts](https://docs.victoriametrics.com/FAQ.html#what-is-a-slow-insert).
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All of them are present in [Grafana dashboards](https://grafana.com/orgs/victoriametrics/dashboards).
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### Data safety
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It is recommended to read [Replication and data safety](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#replication-and-data-safety),
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[Why replication doesn’t save from disaster?](https://valyala.medium.com/speeding-up-backups-for-big-time-series-databases-533c1a927883)
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and [backups](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#backups).
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### Configuring limits
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To avoid excessive resource usage or performance degradation limits must be in place:
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* [Resource usage limits](https://docs.victoriametrics.com/FAQ.html#how-to-set-a-memory-limit-for-victoriametrics-components);
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* [Cardinality limiter](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#cardinality-limiter).
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