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.
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Learn how VictoriaMetrics combines machine learning, MCP, and natural-language workflows to simplify observability with anomaly detection and reduce operational overhead.
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.
A developer-focused recap of VictoriaMetrics’ participation at FOSDEM, Cloud Native Days France and CfgMgmtCamp, highlighting open source observability, community feedback and real-world engineering perspectives.
In 2025, VictoriaMetrics deepened its commitment to open source, community, and developer experience across the global cloud-native ecosystem. This year-in-review reflects on key observability themes, global engagement, OpenTelemetry contributions, and the people and conversations that shaped the year.
The OpenTelemetry Astronomy Shop demo has long served as a reference environment for exploring observability in distributed systems, but until now it shipped with only a Prometheus datasource. VictoriaMetrics forked the demo and extended it with VictoriaMetrics, VictoriaLogs, and VictoriaTraces, providing insights into VictoriaMetrics’ observability stack where metrics, logs, and traces flow into a unified backend.