VictoriaLogs is an open source, high-performance log management solution that enables organizations to efficiently collect, store, and analyze large volumes of logs. It is optimized for minimal resource usage and can be deployed on various environments, including Kubernetes, cloud, edge, and bare metal. The solution is suitable for companies of any size, from startups to enterprises, and is designed for easy migration and low operational overhead.

Key Features

Efficient Log Storage and Compression VictoriaLogs uses up to 30x less RAM and 15x less disk space than comparable solutions, with a 50:1 compression ratio.

• High compression and low resource usage.
• Scales linearly with available resources.

Flexible Deployment Runs on Kubernetes, cloud, edge, and bare metal environments.

• Supports a wide range of infrastructures.
• Suitable for both small and large-scale deployments.

Zero-Config and Easy Integration Minimal setup required, with support for popular log collectors.

• Zero-config operation.
• Easy migration from other log solutions.

Advanced Querying and Analysis Provides a powerful query language (LogsQL) and full-text search across all log fields.

• Built-in web UI for log exploration.
• Grafana plugin for dashboards and alerting.
• CLI tool (vlogscli) for interactive querying, live tailing, and handling large responses.

High Cardinality and Wide Events Support Handles logs with many unique fields and supports logs with hundreds of fields.

• Supports high-cardinality fields (e.g., user_id, trace_id, ip).
• Optimized for wide events.

Multi-Tenancy and Backfilling Supports multi-tenant environments and out-of-order log ingestion.

• Multi-tenancy for organizational separation.
• Backfilling for late-arriving logs.

Operational Simplicity Low maintenance and reduced time to discovery of issues and root-cause analysis.

• Minimal operational overhead.
• Fast ad-hoc log analysis.

Benefits

Cost Efficiency Reduces infrastructure costs due to lower memory and disk usage.

• Up to 30x less expensive than similar solutions.
• Efficient resource utilization.

Scalability and Performance Handles large-scale log data with linear scalability and high speed.

• Scales from single-node to cluster deployments.
• Suitable for mission-critical logging.

Improved Observability Enables faster troubleshooting and better system understanding.

• Reduces time to detect and resolve issues.
• Powerful search and analytics capabilities.