Operations | Monitoring | ITSM | DevOps | Cloud

It’s not the outage, it’s the stretch before you know what actually broke In short: VictoriaMetrics Enterprise support is expertise, not a ticket queue. It’s reactive by design (you reach engineers who know the stack when something breaks), with one proactive service, Monitoring of Monitoring, that watches the health of your VictoriaMetrics observability stack (metrics, logs, and traces).

August is a month when things typically quiet down. At VictoriaMetrics, however, we kept up the pace. This month saw two VictoriaMetrics releases, vmanomaly updates, a new Tech Talk, and great blog posts from the VictoriaMetrics team you might have missed.

Tech Talks went dark for a few months, and on episode 13 I finally got to ask why. Mathias Palmersheim’s answer, delivered completely straight, was that his users were unhappy with the availability and usability of their feeders and their litter box, and he wasn’t allowed back on stream until that got fixed. The users are two dogs and two cats, and they have titles. Maisie, a Shiba Inu who came to him through a rescue, is the recently promoted chief executive pawofficer.

Every number on your dashboards has a life story. It is born somewhere inside a running process, lives for a while as a few bytes in memory, travels across the network, settles down on a disk in some compressed shape, gets queried thousands of times, slowly loses its resolution as it ages, and is eventually deleted and forgotten forever.

Summary: Jean-Jérôme Schmidt-Soisson, marketing lead at VictoriaMetrics, shows that open source and marketing are not opposites. Open source itself can be a powerful growth engine through trust, community, content, documentation, and discoverability. The article explains VictoriaMetrics’ pull-based marketing strategy, anchored in open-source values, to support adoption and business growth. This is our second article on the relationship between open source and marketing.

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.

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.

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.

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.