No. Netdata monitors the infrastructure running your LLM applications (GPUs, containers, databases, system resources), not LLM-specific metrics like tokens, prompts, or output quality. For LLM application observability, use specialized tools like LangSmith, Langfuse, or Braintrust alongside Netdata for complete coverage.

Netdata monitors Kubernetes clusters, GPU nodes (NVIDIA/AMD), container resources (CPU, memory, network, disk), databases (PostgreSQL, MongoDB, vector stores), message queues (RabbitMQ, Kafka), caching layers (Redis), and system metrics (CPU, memory, disk I/O, network). All with per-second granularity and automatic discovery.

Netdata identifies overprovisioned GPU nodes and containers running significantly under requested resources. Per-second utilization data enables precise right-sizing and capacity planning. Organizations typically reduce infrastructure costs by 30-50% while maintaining performance. Additionally, Netdata’s per-node pricing delivers 90% cost savings compared to commercial APMs like Datadog or New Relic.

Yes. Netdata’s per-second monitoring catches GPU memory saturation, disk I/O bottlenecks, network packet loss, and database query timeouts that cause LLM inference failures. ML-powered anomaly detection identifies issues automatically, and Anomaly Advisor correlates problems across components to reveal root causes in minutes.

60 seconds. One-line installation auto-discovers Kubernetes clusters, GPU nodes, databases, and supporting infrastructure. Algorithmic dashboards provide instant visibility without manual configuration. No PromQL, no YAML files, no specialized training required.

Yes, through OpenTelemetry. Netdata ingests OpenTelemetry traces over OTLP on the same agent that collects your metrics and logs, so spans from OpenTelemetry-instrumented LLM services and pipelines (API gateway, retrieval, vector database calls, model server requests) can be sent to Netdata and explored in the Traces tab of Netdata Cloud: a duration heatmap, a full waterfall for every trace, and every span attribute your instrumentation recorded. Netdata treats these as standard OpenTelemetry spans. It does not render GenAI-specific views, track token costs, or evaluate prompts and outputs; for prompt quality, hallucination checks, and evaluation datasets, keep a specialized tool like LangSmith or Langfuse alongside Netdata. Learn about distributed tracing.

Netdata trains 18 unsupervised k-means models per metric using different time windows. Anomalies are flagged only when all 18 models agree (consensus), achieving a theoretical false positive rate of 10^-36. This ML runs locally on each monitored system, detecting resource saturation, memory leaks, and performance degradation automatically.

Yes. Netdata collects NVIDIA and AMD GPU metrics per-second, including utilization, memory usage, temperature, fan speed, power consumption, and PCIe bandwidth. Anomaly detection identifies thermal throttling and memory saturation before they impact inference performance.

Use Netdata for infrastructure monitoring and OpenTelemetry traces (Kubernetes, GPUs, databases, system resources, plus request spans across your services) and a specialized LLM observability tool (LangSmith, Langfuse, Braintrust) for LLM-specific monitoring (tokens, prompts, hallucinations, evaluations). This hybrid approach provides complete coverage at optimized cost - pay premium prices only for LLM-specific features.

Yes. Netdata Agents operate independently with local storage and dashboards. For centralized visibility in air-gapped environments, deploy Netdata Parents on-premises. Netdata Cloud On-Premises is also available for complete control plane hosting within your datacenter. All observability data stays on-premises by default.

Netdata provides per-second metrics (vs Prometheus 10-30s), zero configuration (vs manual setup), algorithmic dashboards (vs manual building), and ML anomaly detection (vs static thresholds). At 4.6M metrics/second, Netdata uses 36% less CPU, 88% less RAM, and 97% less disk I/O than Prometheus while providing 16× faster queries. See detailed comparison.

Netdata is SOC 2 Type 2 certified. The architecture supports GDPR, HIPAA, and PCI DSS compliance through data sovereignty - all observability data stays on-premises by default. Only metadata (node names, chart titles) travels to Netdata Cloud. On-premises deployment options are available for complete air-gapped compliance.

Yes. Netdata offers a 14-day free Business trial with no limit on nodes. The open-source Netdata Agent is free forever, with local dashboards. The free Community plan is for personal, non-commercial use, up to 5 active connected nodes. Start your free trial.

Netdata’s distributed architecture processes high-cardinality data at the edge, eliminating centralized bottlenecks. Automatic cardinality protection prevents runaway metrics from affecting the system. Each agent handles 3,000-20,000 metrics/second efficiently, and the architecture scales linearly - adding nodes doesn’t degrade existing performance.

Business plan includes email/ticket support during business hours with SLA guarantees. Enterprise plan offers 24/7 support with dedicated teams, custom SLAs, and phone support. Professional services include architecture design, deployment assistance, and custom integrations. Contact sales for enterprise requirements.