VictoriaMetrics
Simple, Reliable & Efficient Observability
VictoriaMetrics is an observability platform that combines metrics, logs and traces in one stack. It is designed to address the operational and cost challenges of monitoring large volumes of time-series data, with open source components that can be self-hosted alongside enterprise and fully managed cloud offerings. The stack is Kubernetes compatible and supports OpenTelemetry, PromQL and MetricsQL.
The core products are VictoriaMetrics, a time series database for metrics; VictoriaLogs, a logs database with full-text search and multi-tenancy; and VictoriaTraces, a database for distributed tracing. Enterprise features include anomaly detection powered by machine learning, multi-tenant statistics and rate limiting, automated backup management, downsampling, and direct access to the engineering team. VictoriaMetrics Cloud provides managed operations with alerting and recording rules, automatic updates and access management. Security features include TLS/HTTPS, JWT, LDAP, SSO, mTLS between cluster components, and identity provider integration.
The platform is aimed at individuals, small labs and large distributed systems, from on-premise and hybrid deployments to cloud. Open source products are available for self-hosting; VictoriaMetrics Cloud offers a free starting tier, while Enterprise and the paid Monitoring of Monitoring service provide additional support and guidance.
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