
Observability Lessons NVIDIA and CoreWeave
NVIDIA now ships VictoriaMetrics as the default metrics backed in their self-managed Cloud Functions, and CoreWeave uses VictoriaMetrics for infrastructure monitoring and AI capabilities.

NVIDIA now ships VictoriaMetrics as the default metrics backed in their self-managed Cloud Functions, and CoreWeave uses VictoriaMetrics for infrastructure monitoring and AI capabilities.
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If you’ve been struggling with the high resource overhead of tail sampling, check out retroactive sampling, an approach that significantly reduces sampling overhead for distributed tracing in OpenTelemetry.

March 2026 VictoriaMetrics Stack releases deliver Grafana Cardinality Explorer, VMUI pagination, JWT auth enhancements, log UI sidebar, and Kubernetes log enrichment for scalable observability. Upgrade now for better UI usability, query performance, and production-ready monitoring workflows.

OpenAI applies observability to autonomous AI agents using the VictoriaMetrics Stack and OpenTelemetry. Learn to build your own local setup with metrics, logs, and traces that help LLMs test, benchmark, and iterate autonomously.

We benchmarked vlagent, Vector, Fluent Bit, Filebeat, Fluentd, Promtail, Grafana Alloy, and OpenTelemetry Collector on throughput, resource usage, and delivery correctness - and found correctness issues that most benchmarks overlook.

February 2026 updates deliver new LTS support, VMUI memory insights, queue alerts, jsonline output, resizable Web UI tables, and automatic snapshot expiry across the VictoriaMetrics Observability Stack.

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.

Announcing VictoriaLogs in VictoriaMetrics Cloud: fast, cost-effective log management with native OpenTelemetry support, LogsQL for powerful analysis, and integrations with Grafana and Perses for complete observability monitoring, is the best option to save costs when compared to other alternatives like ElasticSearch or Datadog.

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.

January 2026 updates deliver quality of life improvements, performance optimizations, and tighter Kubernetes integration across the VictoriaMetrics Observability Stack.
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