macOS
brew install victoriametricslocal Homebrew formula metadata
brew
victoriametrics のインストール経路、実行ファイル、メタデータ、AI エージェント向けセキュリティノートを確認します。
インストール
brew install victoriametricslocal Homebrew formula metadata
nix profile install nixpkgs#victoriametricsnixpkgs package indexes · pkgs/by-name/vi/victoriametrics/package.nix · ソース: api.github.com
sudo apt install golang-github-victoriametrics-victoriametrics-devDebian stable package indexes · golang-github-victoriametrics-victoriametrics-dev · ソース: deb.debian.org
sudo apk add victoria-metricsAlpine Linux edge package indexes · victoria-metrics · ソース: dl-cdn.alpinelinux.org
概要
Cost-effective and scalable monitoring solution and time series database
履歴
VictoriaMetrics is an open source time-series database and monitoring solution focused on Prometheus-compatible metrics storage, querying, and operational efficiency. It is used as long-term storage for Prometheus, as a Grafana-compatible backend, and as the center of a larger observability suite.
The public VictoriaMetrics repository was created on 2018-09-30. Its README describes a system designed for fast, cost-effective, scalable monitoring and time-series data management, with both single-node and cluster versions available as open source under Apache License 2.0.
VictoriaMetrics grew from a metrics database into a broader observability ecosystem. The official documentation lists surrounding components such as vmagent, vmalert, vmauth, vmctl, backup and restore tools, cluster components, and VictoriaLogs, showing how the project expanded beyond a single server binary into a suite for ingestion, alerting, migration, backup, and multi-tenant deployment.
By its fifth anniversary in December 2023, VictoriaMetrics reported 338 million downloads, 2,841 Slack users, 219 contributors, and hundreds of issues, pull requests, features, and bug fixes across the v1.86 to v1.95 release range. The same anniversary post pointed to DB-Engines and GitHub popularity tracking as evidence of adoption in the time-series database space.
VictoriaMetrics is commonly deployed as a single small executable or as a cluster. It accepts Prometheus remote write and exposition formats, can scrape Prometheus exporters, supports Graphite, InfluxDB, OpenTSDB, DataDog/DogStatsD, NewRelic, OpenTelemetry, CSV, JSON line, and native import formats, and exposes Prometheus-compatible query APIs for Grafana and other tooling.
For package and operations nerds, VictoriaMetrics is notable for packaging a serious TSDB as a small, dependency-light binary with command-line flag configuration and strong defaults. That simplicity, combined with Prometheus compatibility and high-cardinality/high-churn performance claims, made it a common alternative to heavier clustered Prometheus long-term-storage stacks such as Thanos, Cortex/Mimir, M3DB, InfluxDB, or TimescaleDB in some deployments.
セキュリティ状態
formula declares a Homebrew service.
リスク orange · 信頼度 中 · infrastructure
エージェントに無人実行させる前に、このツールが平文の認証情報を読むか、リモート状態を書き込むか、成果物を公開するか、プラグインを起動するかを確認してください。
実行可能ファイル
| コマンド | 種類 | 公開範囲 | メモ |
|---|---|---|---|
victoria-metrics | cli | グローバル実行可能ファイル |
鮮度
これらの信号は、ページ生成時期、パッケージマネージャの活動、上流リリース比較を分けて示します。バージョン遅れは、証拠 URL と比較可能なバージョンがある場合だけ警告されます。
https://github.com/VictoriaMetrics/VictoriaMetrics
インストールメタデータ
| パッケージキー | brew:victoriametrics |
|---|---|
| バージョン | 1.148.0 |
| パッケージマネージャ | Homebrew |
| パッケージマネージャページ | https://formulae.brew.sh/formula/victoriametrics |
| ホームページ | https://victoriametrics.com/ |
| リポジトリ | https://github.com/VictoriaMetrics/VictoriaMetrics |
| 上流ドキュメント | https://docs.victoriametrics.com/ |
| ライセンス | Apache-2.0 |
| ソースアーカイブ | https://github.com/VictoriaMetrics/VictoriaMetrics/archive/refs/tags/v1.148.0.tar.gz |
| 最終更新 | 2026-07-20T12:46:19Z |
| Pulse | updated |
| ビルド依存関係 | go |
| Bottle | 利用可能 (対象 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定義 |
| サービス | declared |
レジストリ情報
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | victoriametrics |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
ソースデータベース一致
一致は外部パッケージマネージャインデックスから取得され、ローカルの Automic Vault パッケージリンクとは分けて表示されます。
golang-github-victoriametrics-victoriametrics-dev 1.112.0+ds1-2
fast, cost-effective and scalable time series database (library)
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apt install golang-github-victoriametrics-victoriametrics-devvictoria-metrics 1.112.0+ds1-2
fast, cost-effective and scalable time series database
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apt install victoria-metricsvictoriametrics
nix profile install nixpkgs#victoriametricsgolang-github-victoriametrics-victoriametrics-dev 1.79.14+ds1-2build1
fast, cost-effective and scalable time series database (library)
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apt install golang-github-victoriametrics-victoriametrics-devvictoria-metrics 1.79.14+ds1-2build1
fast, cost-effective and scalable time series database
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apt install victoria-metricsvictoria-metrics 1.136.10-r0
Fast, cost-effective and scalable time series database (LTS)
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apk add victoria-metricsvictoria-metrics-backup-tools 1.136.10-r0
Fast, cost-effective and scalable time series database (LTS) (vmbackup, vmrestore)
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apk add victoria-metrics-backup-toolsvictoria-metrics-openrc 1.136.10-r0
Fast, cost-effective and scalable time series database (LTS) (OpenRC init scripts)
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apk add victoria-metrics-openrcvictoria-metrics-tools 1.136.10-r0
Fast, cost-effective and scalable time series database (LTS) (vmagent, vmalert, vmauth, vmctl)
https://github.com/VictoriaMetrics/VictoriaMetrics
sudo apk add victoria-metrics-toolsソース経路
このページは scripts/generate-pkg-sqlite.py が生成した非公開のパッケージ SQLite アーティファクトから av-web によって提供されます。
View the package source record on GitHub.