
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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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.

Observability is a practice, not a product. Learn how metrics, logs, traces, and OpenTelemetry help engineers investigate problems and understand their systems.

Tech Talk #15: Jesús Espino explains how architecture, data locality, Bloom filters, and Go help VictoriaLogs deliver efficient log storage and fast queries.

VictoriaLogs v1.52.1 is our first Long Term Support release. Enterprise users get 12 months of guaranteed security and bug fix backports, with no new features or breaking changes.

September release roundup brings new releases across the VictoriaMetrics ecosystem, plus the launch of VictoriaTraces in Cloud, completing our managed observability offering of metrics, logs, and traces stack.

You turn on Go’s race detector and get a data race inside net/http that makes no sense at first. This post digs into how Go’s HTTP client really sends a request body, why it can keep reading your buffer after Client.Do has returned, why we decided that race is harmless in vmagent, and why the same behavior could corrupt data in vmauth, so we fixed it there.

Why aggressive year-1 discounts in observability often lead to 2–3x renewal bills, plus a simple 3-year TCO framework and five questions to ask before signing.

Announcing VictoriaTraces in VictoriaMetrics Cloud: managed distributed tracing with native OpenTelemetry support, LogsQL for powerful trace analysis, and integrations with Grafana and Jaeger for complete observability, offering predictable pricing and operational simplicity without the overhead of managing a tracing backend yourself.

The kernel reads your files before you ask for them, guessing from where your reads land. Here is how that guessing actually works (the window, the marker, the background fetch) and the two ways to influence it: read_ahead_kb on the device, and posix_fadvise from inside the program. Neither does quite what its name suggests.
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