Monitoring

Proper alerting is an art. It is all about foreseeing bad scenarios before they happen, so you can prepare for them. In this article, we go through practical recommendations of approaching the alerting to reduce alerting fatigue and avoid false positives.

This post recaps the latest VictoriaMetrics Cloud updates, including enhanced multi-tenancy support for Access Tokens, exciting new ways to interact with VictoriaMetrics Cloud through the MCP Server integration and code-first libraries. We’re also continuing our journey of improving our docs with a fresh approach to discovering and deploying integrations.

vmagent is a lightweight agent for collecting and forwarding metrics to remote storage. It supports relabeling, sharding, replication, aggregation, deduplication, and disk buffering to ensure reliable and efficient metric delivery.

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.