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Filter: Vmanomaly
Blog posts
VictoriaMetrics August 2026 Ecosystem Updates
The VictoriaMetrics team shipped two core releases with important security fixes. The vmanomaly team shipped two updates with improved scaling and more efficient models. Plus, Tech Talks are back, this time demoing AI-assisted incident troubleshooting.
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.
Observability's Sixth Sense: Grounding Anomaly Detection in Reality
Learn how VictoriaMetrics combines machine learning, MCP, and natural-language workflows to simplify observability with anomaly detection and reduce operational overhead.
What's new in VictoriaMetrics Anomaly Detection (Q2 2026)
The Q2 2026 vmanomaly update introduces Temporal Envelope, a redesigned UI, faster online-model execution, and an AI-assisted workflow that turns natural-language monitoring goals into tested configurations and alerting rules.
What's new in VictoriaMetrics Anomaly Detection (Q1 2026)
Q1 2026 brought incremental but important updates to VictoriaMetrics Anomaly Detection: UI improvements, AI assistance inside the UI, a public traces playground, new false-positive reduction controls, and continued resource optimizations.
VictoriaMetrics at KubeCon Amsterdam: Community Highlights
VictoriaMetrics participated in KubeCon + CloudNativeCon Europe 2026 in Amsterdam. The team delivered multiple talks covering platform design, Kubernetes observability, and distributed tracing optimization. A real-world case study from Miro showcased a cost-efficient, AZ-aware observability architecture built with VictoriaMetrics. With a 15-person team on site, the booth saw strong interest from users tackling scaling, cost, and performance challenges. The company also hosted its first community after-party, “After Deploy,” co-organized with Varnish and Shipfox, extending discussions beyond the conference.
What’s new in VictoriaMetrics Anomaly Detection (2025)
VictoriaMetrics Anomaly Detection has had a productive year with lots of user feedback that has had a major impact on product development. We’ve added improvements across the board: in core functionality, simplicity, performance, visualisation and AI integration. In addition to bug fixes and speedups, below is a list of what was accomplished in 2025.
How a US Software Provider Improved Traffic Alerting with VictoriaMetrics Anomaly Detection
VictoriaMetrics Anomaly Detection enables reliable alerting for highly variable, multi-domain traffic without relying on static thresholds. In this case study, fine-tuned models, backtesting, and clear visualization helped reduce alert noise, improve confidence in anomaly detection, and lower operational overhead.
vmanomaly Deep Dive: Smarter Alerting with AI (Tech Talk Companion)
Tech Talk: In this post, we explore vmanomaly through the eyes of its creators. Learn how this AI-powered alerting system helps cut through noise, avoid static rule spaghetti, and deliver actionable insights directly from your monitoring data.