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Contents

   



(Top)
 


1 History  





2 Architecture  



2.1  Additional Components  







3 Limitations  





4 Integrations  





5 Use Cases  





6 Usage  





7 References  














Draft:VictoriaMetrics

















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From Wikipedia, the free encyclopedia
 



VictoriaMetrics
Original author(s)Aliaksandr Valialkin
Developer(s)VictoriaMetrics Inc.
Initial releaseClosed Source Release: September, 2018 / 1st Open Source Release: May, 2019
Stable release

v1.99 / 01 March 2024

Repositoryhttps://github.com/VictoriaMetrics/VictoriaMetrics
Written inGo
Operating systemLinux, Windows, MacOS, FreeBSD, OpenBSD
Available inEnglish
TypeTime Series Database / Monitoring Solution
LicenseApache 2.0
Websitehttps://victoriametrics.com

VictoriaMetrics is a free and open source time series database (TSDB) and monitoring solution[1][2][3]. It is designed to collect, store and process real-time metrics. It supports the Prometheus pull model and various push protocols (Graphite, InfluxDB, OpenTSDB) for data ingestion. For reading the data and evaluating alerting rules VictoriaMetrics supports the MetricsQL and Graphite query languages. The project is written in Go and licensed under the Apache 2 License, with its source code available on GitHub.

History

[edit]

VictoriaMetrics was created by Aliaksandr Valialkin in response to scalability issues with the Prometheus monitoring solution used at his previous place of work.[4] Inspired by the performance and architecture of ClickHouse, a free software analytical database, Aliaksandr decided to implement a storage for efficient processing of time series data. He started working on a project he later named VictoriaMetrics, after his wife.

The initial, proprietary version of VictoriaMetrics was released in September, 2018.

Later, in May 2019, the open source version of VictoriaMetrics was released.

Architecture

[edit]

VictoriaMetrics is distributed as a single-node or cluster version.

Additional Components
[edit]

There are additional components in the VictoriaMetrics product ecosystem for various purposes:

Limitations

[edit]

Integrations

[edit]

VictoriaMetrics supports data ingestion via the following protocols:

Use Cases

[edit]

Usage

[edit]

References

[edit]
  1. ^ Speed, Richard (11 Dec 2023). "VictoriaMetrics takes organic growth over investor pressure". The Register. Retrieved 2023-01-11.
  • ^ Hausenblas, Michael (26 December 2023). Cloud Observability in Action. Manning. p. 106. ISBN 978-1633439597.
  • ^ Chapman, Rob; Holmes, Peter (12 January 2024). Observability with Grafana: Monitor, control, and visualize your Kubernetes and cloud platforms using the LGTM stack. Packt Publishing. p. 24. ISBN 9781803248004.
  • ^ Tolmashov, Oleg (2023-11-15). "Unleashing VM histograms for Ruby: Migrating from Prometheus to VictoriaMetrics with vm-client". HackerNoon. Retrieved 2023-11-15.
  • ^ Behar, Vincent. "Adopting OpenTelemetry and its collector" (PDF). FOSDEM. Retrieved 2022-02-06.
  • ^ OpenTelemetry, Authors. "Vendors who natively support OpenTelemetry". OpenTelemetry. OpenTelemetry Authors. Retrieved 2024-01-31.
  • ^ Kuznetsov, Valentin. "CMS Monitoring R&D: Real time monitoring and Alerts" (PDF). Cornell University / Indico, CERN: 26. Retrieved 2022-08-30.
  • ^ Bridgwater, Adrian (25 January 2023). "Is it time for time-series databases?". Computer Weekly. Retrieved 2023-01-25.

    Category:Software


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    This page was last edited on 7 July 2024, at 19:21 (UTC).

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