mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 09:21:47 +01:00
cfba770c8e
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/7383 Signed-off-by: hagen1778 <roman@victoriametrics.com>
126 lines
11 KiB
Markdown
126 lines
11 KiB
Markdown
# VictoriaMetrics
|
|
|
|
[](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/latest)
|
|
[](https://hub.docker.com/r/victoriametrics/victoria-metrics)
|
|
[](https://slack.victoriametrics.com/)
|
|
[](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/LICENSE)
|
|
[](https://goreportcard.com/report/github.com/VictoriaMetrics/VictoriaMetrics)
|
|
[](https://github.com/VictoriaMetrics/VictoriaMetrics/actions)
|
|
[](https://codecov.io/gh/VictoriaMetrics/VictoriaMetrics)
|
|
|
|
<picture>
|
|
<source srcset="docs/logo_white.webp" media="(prefers-color-scheme: dark)">
|
|
<source srcset="docs/logo.webp" media="(prefers-color-scheme: light)">
|
|
<img src="docs/logo.webp" width="300" alt="VictoriaMetrics logo">
|
|
</picture>
|
|
|
|
VictoriaMetrics is a fast, cost-saving, and scalable solution for monitoring and managing time series data. It delivers high performance and reliability, making it an ideal choice for businesses of all sizes.
|
|
|
|
Here are some resources and information about VictoriaMetrics:
|
|
|
|
- Documentation: [docs.victoriametrics.com](https://docs.victoriametrics.com)
|
|
- Case studies: [Grammarly, Roblox, Wix,...](https://docs.victoriametrics.com/casestudies/).
|
|
- Available: [Binary releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/latest), [Docker images](https://hub.docker.com/r/victoriametrics/victoria-metrics/), [Source code](https://github.com/VictoriaMetrics/VictoriaMetrics)
|
|
- Deployment types: [Single-node version](https://docs.victoriametrics.com/), [Cluster version](https://docs.victoriametrics.com/cluster-victoriametrics/), and [Enterprise version](https://docs.victoriametrics.com/enterprise/)
|
|
- Changelog: [CHANGELOG](https://docs.victoriametrics.com/changelog/), and [How to upgrade](https://docs.victoriametrics.com/#how-to-upgrade-victoriametrics)
|
|
- Community: [Slack](https://slack.victoriametrics.com/), [X (Twitter)](https://x.com/VictoriaMetrics), [LinkedIn](https://www.linkedin.com/company/victoriametrics/), [YouTube](https://www.youtube.com/@VictoriaMetrics)
|
|
|
|
Yes, we open-source both the single-node VictoriaMetrics and the cluster version.
|
|
|
|
## Prominent features
|
|
|
|
VictoriaMetrics is optimized for timeseries data, even when old time series are constantly replaced by new ones at a high rate, it offers a lot of features:
|
|
|
|
* **Long-term storage for Prometheus** or as a drop-in replacement for Prometheus and Graphite in Grafana.
|
|
* **Powerful stream aggregation**: Can be used as a StatsD alternative.
|
|
* **Ideal for big data**: Works well with large amounts of time series data from APM, Kubernetes, IoT sensors, connected cars, industrial telemetry, financial data and various [Enterprise workloads](https://docs.victoriametrics.com/enterprise/).
|
|
* **Query language**: Supports both PromQL and the more performant MetricsQL.
|
|
* **Easy to setup**: No dependencies, single [small binary](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d), configuration through command-line flags, but the default is also fine-tuned; backup and restore with [instant snapshots](https://medium.com/@valyala/how-victoriametrics-makes-instant-snapshots-for-multi-terabyte-time-series-data-e1f3fb0e0282).
|
|
* **Global query view**: Multiple Prometheus instances or any other data sources may ingest data into VictoriaMetrics and queried via a single query.
|
|
* **Various Protocols**: Support metric scraping, ingestion and backfilling in various protocol.
|
|
* [Prometheus exporters](https://docs.victoriametrics.com/#how-to-scrape-prometheus-exporters-such-as-node-exporter), [Prometheus remote write API](https://docs.victoriametrics.com/#prometheus-setup), [Prometheus exposition format](https://docs.victoriametrics.com/#how-to-import-data-in-prometheus-exposition-format).
|
|
* [InfluxDB line protocol](https://docs.victoriametrics.com/#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf) over HTTP, TCP and UDP.
|
|
* [Graphite plaintext protocol](https://docs.victoriametrics.com/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd) with [tags](https://graphite.readthedocs.io/en/latest/tags.html#carbon).
|
|
* [OpenTSDB put message](https://docs.victoriametrics.com/#sending-data-via-telnet-put-protocol).
|
|
* [HTTP OpenTSDB /api/put requests](https://docs.victoriametrics.com/#sending-opentsdb-data-via-http-apiput-requests).
|
|
* [JSON line format](https://docs.victoriametrics.com/#how-to-import-data-in-json-line-format).
|
|
* [Arbitrary CSV data](https://docs.victoriametrics.com/#how-to-import-csv-data).
|
|
* [Native binary format](https://docs.victoriametrics.com/#how-to-import-data-in-native-format).
|
|
* [DataDog agent or DogStatsD](https://docs.victoriametrics.com/#how-to-send-data-from-datadog-agent).
|
|
* [NewRelic infrastructure agent](https://docs.victoriametrics.com/#how-to-send-data-from-newrelic-agent).
|
|
* [OpenTelemetry metrics format](https://docs.victoriametrics.com/#sending-data-via-opentelemetry).
|
|
* **NFS-based storages**: Supports storing data on NFS-based storages such as Amazon EFS, Google Filestore.
|
|
* And many other features such as metrics relabeling, cardinality limiter, etc.
|
|
|
|
## Enterprise version
|
|
|
|
In addition, the Enterprise version includes extra features:
|
|
|
|
- **Anomaly detection**: Automation and simplification of your alerting rules, covering complex anomalies found in metrics data.
|
|
- **Backup automation**: Automates regular backup procedures.
|
|
- **Multiple retentions**: Reducing storage costs by specifying different retentions for different datasets.
|
|
- **Downsampling**: Reducing storage costs and increasing performance for queries over historical data.
|
|
- **Stable releases** with long-term support lines ([LTS](https://docs.victoriametrics.com/lts-releases/)).
|
|
- **Comprehensive support**: First-class consulting, feature requests and technical support provided by the core VictoriaMetrics dev team.
|
|
- Many other features, which you can read about on [the Enterprise page](https://docs.victoriametrics.com/enterprise/).
|
|
|
|
[Contact us](mailto:info@victoriametrics.com) if you need enterprise support for VictoriaMetrics. Or you can request a free trial license [here](https://victoriametrics.com/products/enterprise/trial/), downloaded Enterprise binaries are available at [Github Releases](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/latest).
|
|
|
|
We strictly apply security measures in everything we do. VictoriaMetrics has achieved security certifications for Database Software Development and Software-Based Monitoring Services. See [Security page](https://victoriametrics.com/security/) for more details.
|
|
|
|
## Benchmarks
|
|
|
|
Some good benchmarks VictoriaMetrics achieved:
|
|
|
|
* **Minimal memory footprint**: handling millions of unique timeseries with [10x less RAM](https://medium.com/@valyala/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893) than InfluxDB, up to [7x less RAM](https://valyala.medium.com/prometheus-vs-victoriametrics-benchmark-on-node-exporter-metrics-4ca29c75590f) than Prometheus, Thanos or Cortex.
|
|
* **Highly scalable and performance** for [data ingestion](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b) and [querying](https://medium.com/@valyala/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4), [20x outperforms](https://medium.com/@valyala/insert-benchmarks-with-inch-influxdb-vs-victoriametrics-e31a41ae2893) InfluxDB and TimescaleDB.
|
|
* **High data compression**: [70x more data points](https://medium.com/@valyala/when-size-matters-benchmarking-victoriametrics-vs-timescale-and-influxdb-6035811952d4) may be stored into limited storage than TimescaleDB, [7x less storage](https://valyala.medium.com/prometheus-vs-victoriametrics-benchmark-on-node-exporter-metrics-4ca29c75590f) space is required than Prometheus, Thanos or Cortex.
|
|
* **Reducing storage costs**: [10x more effective](https://docs.victoriametrics.com/casestudies/#grammarly) than Graphite according to the Grammarly case study.
|
|
* **A single-node VictoriaMetrics** can replace medium-sized clusters built with competing solutions such as Thanos, M3DB, Cortex, InfluxDB or TimescaleDB. See [VictoriaMetrics vs Thanos](https://medium.com/@valyala/comparing-thanos-to-victoriametrics-cluster-b193bea1683), [Measuring vertical scalability](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae), [Remote write storage wars - PromCon 2019](https://promcon.io/2019-munich/talks/remote-write-storage-wars/).
|
|
* **Optimized for storage**: [Works well with high-latency IO](https://medium.com/@valyala/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b) and low IOPS (HDD and network storage in AWS, Google Cloud, Microsoft Azure, etc.).
|
|
|
|
## Community and contributions
|
|
|
|
Feel free asking any questions regarding VictoriaMetrics:
|
|
|
|
* [Slack Inviter](https://slack.victoriametrics.com/) and [Slack channel](https://victoriametrics.slack.com/)
|
|
* [X (Twitter)](https://x.com/VictoriaMetrics/)
|
|
* [Linkedin](https://www.linkedin.com/company/victoriametrics/)
|
|
* [Reddit](https://www.reddit.com/r/VictoriaMetrics/)
|
|
* [Telegram-en](https://t.me/VictoriaMetrics_en)
|
|
* [Telegram-ru](https://t.me/VictoriaMetrics_ru1)
|
|
* [Mastodon](https://mastodon.social/@victoriametrics/)
|
|
|
|
If you like VictoriaMetrics and want to contribute, then please [read these docs](https://docs.victoriametrics.com/contributing/).
|
|
|
|
## VictoriaMetrics Logo
|
|
|
|
The provided [ZIP file](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/VM_logo.zip) contains three folders with different logo orientations. Each folder includes the following file types:
|
|
|
|
* JPEG: Preview files
|
|
* PNG: Preview files with transparent background
|
|
* AI: Adobe Illustrator files
|
|
|
|
### VictoriaMetrics Logo Usage Guidelines
|
|
|
|
#### Font
|
|
|
|
* Font Used: Lato Black
|
|
* Download here: [Lato Font](https://fonts.google.com/specimen/Lato)
|
|
|
|
#### Color Palette
|
|
|
|
* Black [#000000](https://www.color-hex.com/color/000000)
|
|
* Purple [#4d0e82](https://www.color-hex.com/color/4d0e82)
|
|
* Orange [#ff2e00](https://www.color-hex.com/color/ff2e00)
|
|
* White [#ffffff](https://www.color-hex.com/color/ffffff)
|
|
|
|
### Logo Usage Rules
|
|
|
|
* Only use the Lato Black font as specified.
|
|
* Maintain sufficient clear space around the logo for visibility.
|
|
* Do not modify the spacing, alignment, or positioning of design elements.
|
|
* You may resize the logo as needed, but ensure all proportions remain intact.
|
|
|
|
Thank you for your cooperation!
|