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Screenshot of VictoriaMetrics

// official site: victoriametrics.com ↗

TIME-SERIES · PRO TIER

VictoriaMetricspro

VictoriaMetrics is a high-performance Prometheus-compatible TSDB — drop-in replacement for Prometheus with 7-10× less memory and 70× faster ingestion. Full PromQL + MetricsQL extensions. Single binary, no external DB needed.

📈 Time-series Min 512 MB RAM Port 8428 (http) Tier pro
// What it is

A closer look.

VictoriaMetrics is a high-performance Prometheus-compatible TSDB — drop-in replacement for Prometheus with 7-10× less memory and 70× faster ingestion. Full PromQL + MetricsQL extensions. Single binary, no external DB needed.

The "Prometheus you wish you had" — same API, same dashboards, dramatically better resource profile at scale.

// Use cases

What it's for.

Concrete scenarios where teams pick VictoriaMetrics over the SaaS alternative.

Prometheus replacement

same queries, less RAM, faster ingestion

Long-term metrics storage

months/years of metric retention

Multi-cluster aggregation

federate metrics from multiple Prometheus instances

Real-time monitoring

sub-100ms queries at scale

Cloud-native observability

Kubernetes-friendly architecture

// Who it's for

Built for these teams.

If your team profile matches one of these, VictoriaMetrics is a strong fit out of the box.

Profile A

SRE teams

scaling Prometheus past its memory limits

Profile B

Platform engineering teams

building multi-tenant observability

Profile C

Cost-conscious teams

running monitoring on cheaper hardware

Profile D

High-cardinality workloads

that Prometheus struggles with

Profile E

Multi-cluster orgs

aggregating metrics centrally

// Differentiators

Why teams pick VictoriaMetrics.

When evaluating self-hosted options for this category, here are the dimensions on which VictoriaMetrics consistently lands above the alternatives.

  • Apache 2.0 — fully open
  • Resource efficient — 7-10× less RAM than Prometheus
  • PromQL compatible — drop-in for existing dashboards
  • MetricsQL — extends PromQL with useful additions
  • Single binary — operational simplicity
  • Active development — backed by VictoriaMetrics Inc.
// Integrations

Connects to.

The stack you'll plug VictoriaMetrics into — services, protocols, and adjacent apps in the BluixApps catalog.

Prometheus
accept remote_write from any number of Prometheus instances
Grafana
use as Prometheus data source (auto-detected)
Telegraf / Vector / FluentBit
direct ingestion
Push gateway
Prometheus pushgateway compatible
MQTT / Kafka
via vmagent
Alertmanager
vmalert as Alertmanager-compatible rule evaluator
Client libraries
every Prometheus client library works
// Adoption & deployment

Notable users & community

  • 12k+ GitHub stars
  • Used by Adidas, Wix, Razorpay, ESL Gaming for production observability
  • Backed by VictoriaMetrics Inc. with sustainable commercial cluster + enterprise
  • Active Slack community
  • Featured in Prometheus-alternative comparisons + CNCF observability guides

What we ship

  • Docker image: victoriametrics/victoria-metrics:latest
  • Persistent volume: /opt/victoriametrics/data
  • Port 8428 exposed
  • 12-month retention by default
  • Built-in VMUI at /vmui for ad-hoc queries
  • HTTPS via Let's Encrypt reverse proxy
  • Auto-detection by Grafana on same VPS as Prometheus data source
  • Backup hook covers data volume
// Tips & operations

Run it properly.

Operational guidance from running this in production — what to lock down, what surprises people.

// PERFORMANCE
Single-node vs cluster
single fits most use cases up to 1M metrics/sec
// SECURITY
Retention
default -retentionPeriod=12 (months); tune per cost
// OPERATIONS
PromQL compatibility
most queries work; some edge cases differ
// RELIABILITY
Remote write
point Prometheus at /api/v1/write
// DEPLOYMENT
Cardinality limits
VictoriaMetrics handles high-cardinality MUCH better than Prometheus
// SCALING
Backup via vmbackup
official backup utility
512
// min ram (MB)
8
// min disk (GB)
8428
// access port
http
// protocol
pro
// bluixapps tier
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