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By Diana Todea
Summary: Machine learning-based anomaly detection improves observability by learning normal system behavior instead of relying only on static thresholds. This article explains how vmanomaly, its MCP server, purpose-built skills, and an LLM-powered UI copilot help engineers explore telemetry, investigate anomalies, build MetricsQL queries, select suitable models, apply business constraints, and validate configurations through natural language.
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By Fred Navruzov
Summary: The Q2 2026 development cycle moved VictoriaMetrics Anomaly Detection toward one simpler, continuously adapting workflow. The main addition is Temporal Envelope, an online model that handles trend, multiple calendar patterns, holidays, persistent changes, forecasts, and optional multivariate context without retaining the full fit history.
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By Jose Gomez-Selles
This quarter we’ve been busy investing a lot of effort into improving how users understand and control what they pay for VictoriaMetrics Cloud, and how to move around the console while doing it, with major UX improvements across different sections and functionalities. The big piece of work is transparent credits reporting, giving prepaid customers full visibility into balance, consumption, and expiration.
This post is a joint effort by the OpenLIT and VictoriaMetrics teams. OpenLIT brings the OTel-native GPU collector for NVIDIA, AMD, and Intel hardware, while VictoriaMetrics provides the storage and query layer for the resulting metrics. We wrote it together to show how the two projects fit into a single, self-hosted observability pipeline, and to share the queries and rules that worked well for us along the way.
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By Pablo Fernandez
Cardinality problems usually begin with a small change that looks harmless: you add a label, and suddenly one metric turns into thousands of unique series. Cardinality explosions are often caught only after performance degrades. And at that point, your observability stack may be degraded and painful to troubleshoot. vmestimator is a new project specifically designed to follow cardinality trends in real time and send you alerts before they turn into a real problem.
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By Pablo Fernandez
In the first half of 2026, we shipped a wide range of improvements across metrics, logs, traces, cloud, and the Kubernetes operator. Our main focus across open-source components and enterprise solutions was on performance, stability, and making observability easier to adopt and operate day‑to‑day. This roundup brings together the most important changes to date, including a quick look back at key anomaly detection improvements from 2025 that are now paying off today.
Many “LLM observability with OpenTelemetry” tutorials stop at a single chat.completions span. That works for a demo, but it leaves gaps once an agent fans out into 30 tool calls, two vector-DB queries, three handoffs, and a 90-second tail latency you need to attribute. This post wires the OpenLIT SDK (50+ instrumentations, OTel GenAI semantic conventions, one line of code) into the full VictoriaMetrics observability stack and shows query examples that turn agent telemetry into decisions.
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By Phuong Le
If you run VictoriaLogs, your day-to-day comes down to three things: sending logs, querying them, and setting retention so the disk does not fill up. Everything else happens quietly on disk.
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By Pablo Fernandez
The VictoriaMetrics Observability Stack included two releases for VictoriaMetrics and a new LTS release for the VictoriaMetrics Operator in May. We’ve also published two detailed articles in the last few weeks: This release roundup covers updates for.
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By Vadim Rutkovsky
VictoriaMetrics Operator has been developing at a neck-breaking pace, bringing numerous improvements, features, and fixes to our community. We usually make at least a single release every two weeks. While this rapid iteration cycle is great for delivering fixes and improvements quickly, it can be challenging for administrators managing critical production environments.
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By VictoriaMetrics
The OpenTelemetry Collector presets are a great way to start collecting Kubernetes metrics.
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By VictoriaMetrics
In this episode, we explore how to build a modern Kubernetes observability stack using open-source technologies such as VictoriaMetrics, OpenTelemetry, Grafana. Based on a step by step workshop we gave at Cloud Native Days Romania in May, Jose is walking us through it with practical examples. Playlist Resources for Further Learning.
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By VictoriaMetrics
Warm up Community News VictoriaTraces roadmap Update VictoriaMetrics roadmap updates Community Story by Kirill Kobylianskii from Trade Republic:"Running VictoriaMetrics and Mimir Side by Side at ~100M active series" Anomaly Detection Updates VictoriaMetrics Cloud Updates VictoriaLogs roadmap Update AMA session.
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By VictoriaMetrics
In this episode, we explore neurodiversity in tech and beyond with guests Carl Alexander and Zach Stepek. They share firsthand experiences of what has helped them thrive as neurodivergent professionals and what has not. Together, they discuss the importance of community as a key factor in empowerment, growth, and long-term success for neurodivergent individuals in both work and life. PlayList Resources for Further Learning.
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By VictoriaMetrics
AI coding assistants are already emitting rich OpenTelemetry data — revealing prompts, tool usage, workflows, and developer behavior in real time. Resources for Further Learning.
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By VictoriaMetrics
Telemetry Talks explores how OpenTelemetry’s CNCF graduation arrives at a pivotal moment for AI-powered development. Together with Alex Marshalov, we dive into vibe coding, AI agents, and the growing need for observability in GenAI systems — from prompts and token usage to reasoning chains and distributed traces — using the VictoriaMetrics stack and OpenTelemetry as the foundation for understanding the next generation of autonomous software.
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By VictoriaMetrics
In this episode of DevEx Talks, Mike Gifford shares his perspective on accessibility in today’s tech landscape, drawing from his extensive experience in the field. Together, we explore how well accessibility is currently defined, whether the industry is truly meeting the needs of professionals who rely on it, and what gaps still exist. We also discuss the growing importance of accessibility within Developer Relations and where the biggest opportunities lie to create more inclusive tools, communities, and workflows.
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By VictoriaMetrics
Now you can download massive logs in CSV without crashing your browser in VictoriaLogs. Resources for Further Learning.
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VictoriaMetrics is a fast, cost-effective and scalable open source monitoring solution and time series database typically used for processing high volumes of data and for long term data storage. Discover our state-of-the-art, open source monitoring and observability solutions that deliver incredible performance, ease of use, scalability and (cost-)efficiency.
Our Products:
- VictoriaMetrics is a fast and scalable open source time series database and monitoring solution that lets users build a monitoring platform without scalability issues and minimal operational burden.
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- Monitoring of Monitoring: For the most well-tuned system, let our MoM service do the monitoring of your monitoring and detect, mitigate and prevent potential issues before they become major problems.
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