VictoriaMetrics
Open-source observability platform offering high-performance time-series databases for metrics, logs, and traces. Used by enterprises like Adidas, Spotify, and CERN for reliable monitoring.
VictoriaMetrics is an open-source alternative to:
VictoriaMetrics is a fast, cost-effective, and scalable monitoring solution for metrics, logs, and traces. It provides high-performance time-series databases designed for observability at scale.
Key Features
- High Performance: Optimized for fast data ingestion and query processing, handling millions of metrics per second.
- Scalability: Supports horizontal scaling for large-scale deployments with minimal overhead.
- Multi-Data Support: Includes VictoriaMetrics (metrics), VictoriaLogs (logs), and VictoriaTraces (traces) for comprehensive observability.
- Open Source Core: Core components are open-source with enterprise-grade features available in the commercial version.
- Compatibility: Compatible with Prometheus, Grafana, and other observability tools.
- Enterprise Features: Offers advanced features like anomaly detection, long-term storage, and high availability.
- Cloud & Self-Hosted: Available as a managed cloud service or self-hosted solution.
- Cost-Effective: Reduces storage and compute costs compared to traditional monitoring solutions.
Tech / Self-Hosting
VictoriaMetrics can be deployed on-premises or in the cloud. It supports Kubernetes, Docker, and bare-metal installations. The open-source version is available under the Apache 2.0 license, while enterprise features require a commercial license. Documentation and community support are provided for self-hosting.