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docs: update docs for beginners QuickStart page was updated with more relevant information. Key Concepts was added to cover basics for the VictoriaMetrics.
172 lines
8.8 KiB
Markdown
172 lines
8.8 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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### 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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```bash
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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 cluster repository](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster)
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and start the docker container via 'docker-compose'. Further customization is possible by editing
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the [docker-compose.yaml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/cluster/deployment/docker/docker-compose.yml)
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file.
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<div class="with-copy" markdown="1">
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```bash
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git clone https://github.com/VictoriaMetrics/VictoriaMetrics --branch cluster &&
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cd VictoriaMetrics/deployment/docker &&
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docker-compose up
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```
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</div>
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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 the 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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### 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). |