
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.
No matching authors found.
No matching categories found.
From the article

See practical examples on monitoring LLM applications and Agents with OpenLIT and VictoriaMetrics observability stack. See real examples of the deployment manifests, alerting rules and Grafana dashboard.

A beginner-friendly tour of how VictoriaLogs stores your logs on disk: streams and daily partitions, immutable parts, blocks and columns, and the files inside a part (timestamps, values, bloom filters, column headers, and the two-level index) that let a query read only the bytes it needs.

May 2026 VictoriaMetrics release roundup: v1.144.0 brings 15 bug fixes and 9 UX improvements for reliability and observability, while v1.143.0 adds native Prometheus histogram ingestion support across vmagent, vmsingle, and vminsert. Also includes the first LTS release for VictoriaMetrics Operator.

VictoriaMetrics Operator introduces Long-Term Support (LTS) releases starting with v0.68.x, ensuring stability and a predictable upgrade path for users.

Learn how Airbnb rebuilt its observability pipeline with OpenTelemetry and vmagent to handle over 100 million samples per second, reduce cost by 10x, and simplify high-scale metrics aggregation.

Discover multi-tier observability architecture with VictoriaMetrics OSS. Learn how to isolate default, high-cardinality, and business-critical workloads into separate tiers with optimized retention periods, ingestion resolution, cardinality limits, alerting policies, and cost controls.

VictoriaMetrics April 2026 release round‑up: heads up about critical VictoriaMetrics bugfixes in v1.141.0–v1.142.0, and explore new VictoriaLogs features including Splunk ingestion and advanced LogsQL tooling.

Reduce observability costs with hybrid strategies: prioritize revenue-driving signals in SaaS, self-host high-volume telemetry. Cut bills 3-12x without losing visibility.

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.
Many thanks for submitting our Contact Us form. One of our team members will be in touch shortly to follow up on it with you.