VictoriaMetrics Observability Blog

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Filter: Vmalert

Two cats, two dogs, four vendors, and the model the AI couldn't find (Tech Talk Companion)

Tech Talk #13: Mathias runs his house and four pets on Home Assistant, VictoriaMetrics, and vmanomaly. Then the AI picked the wrong model. Watch on demand.

Announcing vmestimator: Real-time Cardinality Estimations for VictoriaMetrics and Prometheus

vmestimator is a new open-source tool that estimates metric cardinality in real time. It can alert to high-cardinality spikes before they slow queries and increase resource usage. Works with any Prometheus-compatible setups, Grafana, and vmalert

Multi-tiered Observability: A Practical Way to Handle Diverse Workloads

Discover multi-tier observability architecture with VictoriaMetrics OSS. Learn how to isolate default, high-cardinality, and business-critical workloads into separate tiers with optimized retention periods, ingestion resolution, cardinality limits, alerting policies, and cost controls.

vmalert: Maximize Your 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 Components: Getting Started

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.