VictoriaMetrics is a fast, cost-saving, and scalable solution for monitoring and managing time series data. It delivers high performance and reliability, making it an ideal choice for businesses of all sizes.

• Documentation: docs.victoriametrics.com
• Case studies: Grammarly, Roblox, Wix,....
• Available: Binary releases, Docker images, Source code
• Deployment types: Single-node version, Cluster version, and Enterprise version
• Changelog: CHANGELOG, and How to upgrade
• Community: Slack, Twitter, LinkedIn, YouTube

We open-source both the single-node VictoriaMetrics and the cluster version. But if you need more than that, we provide:

• Enterprise version with many advanced features: downsampling, multiple retentions, anomaly detection, first-class consulting with our developers, and more.
• Cloud version for hosting directly on AWS, with no typical DevOps tasks required. Try it at VictoriaMetrics Cloud.

Contact us if you need more support, or you can request a free Enterprise trial license.

VictoriaMetrics is optimized for timeseries data, even when old time series are constantly replaced by new ones at a high rate, it offers a lot of features:

• 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.
• Easy to setup: No dependencies, single small binary, configuration through command-line flags, but the default is also fine-tuned; backup and restore with instant snapshots.
• 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 - Graphite, Prometheus, InfluxDB, OpenTSDB, etc.
• NFS-based storages: Supports storing data on NFS-based storages such as Amazon EFS, Google Filestore.
• And many other features such as metrics relabeling, cardinality limiter, etc.

Feel free asking any questions regarding VictoriaMetrics:

• Slack Inviter and Slack channel
• Twitter
• Linkedin
• Reddit
• Telegram-en
• Telegram-ru
• Google groups
• Mastodon

If you like VictoriaMetrics and want to contribute, then please read these docs.