Overview

VictoriaMetrics: fast, cost-effective monitoring solution and time series database Incredibly fast time series database and easy-to-use high performance monitoring solutions simple and reliable for everyone. VictoriaMetrics Database Solutions.Incredibly fast time series database and easy-to-use high performance monitoring solutions simple and reliable for everyone. VictoriaMetrics Database Solutions. The project has 17K+ GitHub stars and is licensed under Apache-2.0.

Key Features

Source: GitHub README

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.
Query language: Supports both PromQL and the more performant MetricsQL.
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.
InfluxDB line protocol over HTTP, TCP and UDP.
Graphite plaintext protocol with tags.
OpenTSDB put message.
HTTP OpenTSDB /api/put requests.

Getting Started

Source: GitHub README

Font

Font Used: Lato Black
Download here: Lato Font

Color Palette

Black #000000
Purple #4d0e82
Orange #ff2e00
White #ffffff

Normalized Features

Source: tool-features-normalized.json

docker, influxdb, kubernetes.

Deploy

Docker

Self-host with Docker Compose

Coolify

One-click via Coolify panel

Elestio

Managed hosting from $9/mo

PikaPods

Simple managed hosting

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