Monitoring

Turn alerts into action, not noise. Our May 22nd Tech Talk (10 AM PDT) dives into vmalert best practices. Learn to configure, write effective rules, and optimize your VictoriaMetrics alerting strategy. Don’t miss out!

VictoriaMetrics is a fast, scalable monitoring system made of modular components like vminsert, vmstorage, and vmselect. It supports both single-node and clustered setups, along with tools for backup, restore, alerting, access control, and data migration. Data can be ingested, stored, queried, backed up, and restored with high performance and minimal resource use.

This post recaps the latest VictoriaMetrics Cloud updates, including new organization management features, OpenTelemetry integration, a powerful Explore tab, and expanded API capabilities, making your monitoring experience even more seamless and efficient.

We believe microservices shouldn’t be the default and that companies should start with monoliths until reality actually demands they scale and shift from one node to a cluster of nodes. As a result, we offer clustering on an open source basis because we want to support realistic growth. Read on for details!

Recording rules can transform complex PromQL queries into pre-computed metrics, eliminating repeated calculation overhead. When organized in groups, these alerting and recording rules can be precisely scheduled to run at specific times like 01:30, 02:30, and even execute in parallel for maximum efficiency.

Say hello at booth #N503 for KubeCon Europe 2025 in London, meet our team, and find out about the latest updates on our new VictoriaLogs solution, VictoriaMetrics, anomaly detection capabilities, and more.

The article explains vmselect’s core functionalities: concurrent request processing, query parsing and validation, data fetching and merging from vmstorage nodes, and memory-efficient result caching.

Say hello at booth #313 for SCaLE 22x in Pasadena, meet our team, and find out about the latest updates on our new VictoriaLogs solution, the latest VictoriaMetrics updates and more.

When evaluating, instant vectors provide current snapshots, while range vectors give you multiple values over a period of time. But how do they work?

Metrics come in different types: counters that only increase, gauges that fluctuate, histograms that show value distributions, and summaries that pre-calculate statistics.