VictoriaMetrics

Founded by Roman Khavronenko in 2019

Store, monitor, and query time series metrics, logs, and distributed traces at scale

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use VictoriaMetrics to collect, store, and analyze massive volumes of time series metrics, logs, and traces. It acts as an efficient alternative to tools like Prometheus, reducing storage costs and hardware requirements. You can run it on your own infrastructure or choose a managed cloud setup. With built-in support for Prometheus queries and OpenTelemetry standards, you can easily monitor infrastructure health, debug system performance issues, and spot anomalies across large clusters without rewriting your existing dashboards or collection pipelines.

What VictoriaMetrics does

Query time series metrics using MetricsQL or PromQLSearch and filter application logs with LogsQLIngest metrics data from Prometheus scrape targetsStore and inspect distributed tracesDownsample long-term historical metrics dataConfigure anomaly detection models on performance dataDeploy clustered time series databases on KubernetesTime series database engineered for fast data ingestion ratesDrop-in compatibility with Prometheus querying and scrape configurationsDedicated log storage and querying engine via VictoriaLogsDistributed tracing database with VictoriaTracesReduced disk storage footprint through data compression techniquesAnomaly detection algorithms for monitoring time series irregularitiesSupport for multi-tenant and distributed cluster deployments

Pricing breakdown

Pricing model: Free tier, Paid

Tutorials & Demos

Frequently asked

Kubernetes Grafana

Grafana

Docker

AWS

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