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See https://docs.victoriametrics.com/#community-and-contributions
Signed-off-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit 74e8d6ad55)
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# VictoriaMetrics
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[](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/latest)
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[](https://hub.docker.com/r/victoriametrics/victoria-metrics)
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[](https://slack.victoriametrics.com/)
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[](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/LICENSE)
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[](https://goreportcard.com/report/github.com/VictoriaMetrics/VictoriaMetrics)
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[](https://github.com/VictoriaMetrics/VictoriaMetrics/actions)
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[](https://codecov.io/gh/VictoriaMetrics/VictoriaMetrics)
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<picture>
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<source srcset="docs/logo_white.webp" media="(prefers-color-scheme: dark)">
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<source srcset="docs/logo.webp" media="(prefers-color-scheme: light)">
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<img src="docs/logo.webp" width="300" alt="VictoriaMetrics logo">
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</picture>
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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.
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Here are some resources and information about VictoriaMetrics:
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- Documentation: [docs.victoriametrics.com](https://docs.victoriametrics.com)
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- Case studies: [Grammarly, Roblox, Wix,...](https://docs.victoriametrics.com/casestudies/).
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- 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)
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- 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/)
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- Changelog: [CHANGELOG](https://docs.victoriametrics.com/changelog/), and [How to upgrade](#how-to-upgrade-victoriametrics)
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- Community: [Slack](https://slack.victoriametrics.com/), [Twitter](https://twitter.com/VictoriaMetrics), [LinkedIn](https://www.linkedin.com/company/victoriametrics/), [YouTube](https://www.youtube.com/@VictoriaMetrics)
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Yes, we open-source both the single-node VictoriaMetrics and the cluster version.
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## Prominent features
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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:
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* **Long-term storage for Prometheus** or as a drop-in replacement for Prometheus and Graphite in Grafana.
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* **Powerful stream aggregation**: Can be used as a StatsD alternative.
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* **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/).
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* **Query language**: Supports both PromQL and the more performant MetricsQL.
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* **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).
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* **Global query view**: Multiple Prometheus instances or any other data sources may ingest data into VictoriaMetrics and queried via a single query.
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* **Various Protocols**: Support metric scraping, ingestion and backfilling in various protocol.
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* [Prometheus exporters](#how-to-scrape-prometheus-exporters-such-as-node-exporter), [Prometheus remote write API](#prometheus-setup), [Prometheus exposition format](#how-to-import-data-in-prometheus-exposition-format).
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* [InfluxDB line protocol](#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf) over HTTP, TCP and UDP.
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* [Graphite plaintext protocol](#how-to-send-data-from-graphite-compatible-agents-such-as-statsd) with [tags](https://graphite.readthedocs.io/en/latest/tags.html#carbon).
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* [OpenTSDB put message](#sending-data-via-telnet-put-protocol).
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* [HTTP OpenTSDB /api/put requests](#sending-opentsdb-data-via-http-apiput-requests).
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* [JSON line format](#how-to-import-data-in-json-line-format).
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* [Arbitrary CSV data](#how-to-import-csv-data).
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* [Native binary format](#how-to-import-data-in-native-format).
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* [DataDog agent or DogStatsD](#how-to-send-data-from-datadog-agent).
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* [NewRelic infrastructure agent](#how-to-send-data-from-newrelic-agent).
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* [OpenTelemetry metrics format](#sending-data-via-opentelemetry).
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* **NFS-based storages**: Supports storing data on NFS-based storages such as Amazon EFS, Google Filestore.
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* And many other features such as metrics relabeling, cardinality limiter, etc.
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## Enterprise version
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In addition, the Enterprise version includes extra features:
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- **Anomaly detection**: Automation and simplification of your alerting rules, covering complex anomalies found in metrics data.
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- **Backup automation**: Automates regular backup procedures.
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- **Multiple retentions**: Reducing storage costs by specifying different retentions for different datasets.
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- **Downsampling**: Reducing storage costs and increasing performance for queries over historical data.
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- **Stable releases** with long-term support lines ([LTS](https://docs.victoriametrics.com/lts-releases/)).
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- **Comprehensive support**: First-class consulting, feature requests and technical support provided by the core VictoriaMetrics dev team.
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- Many other features, which you can read about on [the Enterprise page](https://docs.victoriametrics.com/enterprise/).
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[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).
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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.
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## Benchmarks
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Some good benchmarks VictoriaMetrics achieved:
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* **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.
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* **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.
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* **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.
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* **Reducing storage costs**: [10x more effective](https://docs.victoriametrics.com/casestudies/#grammarly) than Graphite according to the Grammarly case study.
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* **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/).
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* **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.).
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## Community and contributions
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Feel free asking any questions regarding VictoriaMetrics:
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* [Slack Inviter](https://slack.victoriametrics.com/) and [Slack channel](https://victoriametrics.slack.com/)
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* [Twitter](https://twitter.com/VictoriaMetrics/)
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* [Linkedin](https://www.linkedin.com/company/victoriametrics/)
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* [Reddit](https://www.reddit.com/r/VictoriaMetrics/)
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* [Telegram-en](https://t.me/VictoriaMetrics_en)
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* [Telegram-ru](https://t.me/VictoriaMetrics_ru1)
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* [Mastodon](https://mastodon.social/@victoriametrics/)
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If you like VictoriaMetrics and want to contribute, then please [read these docs](https://docs.victoriametrics.com/contributing/).
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## VictoriaMetrics Logo
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[Zip](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/VM_logo.zip) contains three folders with different image orientations (main color and inverted version).
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Files included in each folder:
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* 2 JPEG Preview files
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* 2 PNG Preview files with transparent background
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* 2 EPS Adobe Illustrator EPS10 files
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### Logo Usage Guidelines
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#### Font used
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* Lato Black
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* Lato Regular
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#### Color Palette
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* HEX [#110f0f](https://www.color-hex.com/color/110f0f)
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* HEX [#ffffff](https://www.color-hex.com/color/ffffff)
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### We kindly ask
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* Please don't use any other font instead of suggested.
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* To keep enough clear space around the logo.
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* Do not change spacing, alignment, or relative locations of the design elements.
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* Do not change the proportions for any of the design elements or the design itself.
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You may resize as needed but must retain all proportions. |