Draft:VictoriaMetrics

VictoriaMetrics
Original author(s)	Aliaksandr Valialkin
Developer(s)	VictoriaMetrics Inc.
Initial release	Closed Source Release: September, 2018 / 1st Open Source Release: May, 2019
Stable release	v1.102.1 / 01 August 2024
Repository	https://github.com/VictoriaMetrics/VictoriaMetrics
Written in	Go
Operating system	Linux, Windows, MacOS, FreeBSD, OpenBSD
Available in	English
Type	Time Series Database / Monitoring Solution
License	Apache 2.0
Website	https://victoriametrics.com

Submission declined on 7 July 2024 by SafariScribe (talk).

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Declined by SafariScribe 4 months ago. Last edited by Terryfilch 2 months ago. Reviewer: Inform author.

Resubmit

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Submission declined on 23 February 2024 by Johannes Maximilian (talk).

This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources.

Declined by Johannes Maximilian 8 months ago.

Submission declined on 9 September 2022 by CNMall41 (talk).

This submission is not adequately supported by reliable sources. Reliable sources are required so that information can be verified. If you need help with referencing, please see Referencing for beginners and Citing sources.

Declined by CNMall41 2 years ago.

Submission declined on 2 September 2022 by Stuartyeates (talk).

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

in-depth (not just brief mentions about the subject or routine announcements)
reliable
secondary
strictly independent of the subject

Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.

Declined by Stuartyeates 2 years ago.

Submission declined on 23 October 2021 by S0091 (talk).

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

in-depth (not just passing mentions about the subject)
reliable
secondary
independent of the subject

Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.

Declined by S0091 3 years ago.

Comment: I'm not seeing the in-depth coverage in independent secondary sources needed here. Stuartyeates (talk) 08:55, 2 September 2022 (UTC)

Comment: Sources are not independent. Also, blogs and are not reliable sources and links github should not used. S0091 (talk) 21:12, 23 October 2021 (UTC)

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. For data ingestion, it supports the Prometheus pull model and various push protocols (Graphite, InfluxDB, OpenTSDB). 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.

History

Aliaksandr Valialkin started the project motivated by the scalability limitations of the Prometheus monitoring system encountered at his prior workplace.^[4] Drawing inspiration from ClickHouse, an open-source analytical database known for its performance and architectural design, Valialkin developed a storage solution for efficient time series data handling. The initial proprietary iteration of VictoriaMetrics was released in September 2018, followed by the public release of the open source version in 2019.

Architecture

VictoriaMetrics can be deployed in either a single-node or cluster version.

Single-node version: a single binary executable capable of scraping metrics, accepting write requests, or executing reading queries.
Cluster version: an extended version of a single node split into three components:
- vminsert: for processing write requests, data sharding, routing and replication
- vmselect: for processing read requests, deduplication, caching
- vmstorage: for storing and processing data on disk

Additional Components

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

vmagent: a lightweight application for metrics collection, transformation and forwarding to the storage. Acts as a proxy between clients and VictoriaMetrics
vmalert: an application for evaluating alerting and recording rules
vmbackup/vmrestore: a set of tools for backup and recovery
vmauth: an authentication proxy used for extra protection and routing
vmctl: an utility for migrating from other systems such as Prometheus, InfluxDB or OpenTSDB
vmanomaly: an anomaly detection service

Limitations

No data update support
Limited data deletion support
Supports only numeric values as time series data point value
Does not accept data with timestamps set in the future

Integrations

VictoriaMetrics supports data ingestion via the following protocols:

Prometheus remote write protocol
Prometheus exposition and OpenMetrics protocol
InfluxDB line protocol
OpenTSDB Put protocol
Graphite plaintext protocol
OpenTelemetry^[5]^[6]
DataDog v2 data ingestion protocol
NewRelic agent data ingestion

Use Cases

Kubernetes and cloud-native monitoring
APM (Application Performance Monitoring)
IoT sensors, connected cars, industrial telemetry
Financial markets data

Usage

VictoriaMetrics is used by CERN for real-time monitoring of CMS^[7]
Grammarly uses VictoriaMetrics for internal monitoring of the infrastructure
Percona Monitoring and Management (PMM) solution uses VictoriaMetrics
Open Cosmos has integrated VictoriaMetrics into its mission-critical satellite control and data distribution platform^[8]
Other organizations using VictoriaMetrics include Semrush, Ably, Roblox, Cloudflare, Criteo and more.

References

^ 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

[1] Speed, Richard (11 Dec 2023). "VictoriaMetrics takes organic growth over investor pressure". The Register. Retrieved 2023-01-11.

[2] Hausenblas, Michael (26 December 2023). Cloud Observability in Action. Manning. p. 106. ISBN 978-1633439597.

[3] 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.

[4] Tolmashov, Oleg (2023-11-15). "Unleashing VM histograms for Ruby: Migrating from Prometheus to VictoriaMetrics with vm-client". HackerNoon. Retrieved 2023-11-15.

[Adopting_OpenTelemetry_and_its_collector-5] Behar, Vincent. "Adopting OpenTelemetry and its collector" (PDF). FOSDEM. Retrieved 2022-02-06.

[Vendors_who_natively_support_OpenTelemetry-6] OpenTelemetry, Authors. "Vendors who natively support OpenTelemetry". OpenTelemetry. OpenTelemetry Authors. Retrieved 2024-01-31.

[7] Kuznetsov, Valentin. "CMS Monitoring R&D: Real time monitoring and Alerts" (PDF). Cornell University / Indico, CERN: 26. Retrieved 2022-08-30.

[8] Bridgwater, Adrian (25 January 2023). "Is it time for time-series databases?". Computer Weekly. Retrieved 2023-01-25.

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