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Build and scale AI agents for customer experience

An SSH-administered virtual server for a custom Linux web stack.

Correlate server and application health, availability, and capacity in a self-hosted monitoring console.

Build editable terrain from generators, erosion devices and masks in a Terrain Stack

Correlates application logs, traces, metrics, errors, and session replays for incident investigation.

Stores and searches application logs with LogsQL, a built-in explorer, and integrations for common collectors.

Diagnose IPv4, IPv6 and dual-stack browser reachability

Editable 3D modelling, character animation and Arnold rendering

Combine network flow, device, cloud, and synthetic telemetry to investigate traffic and service performance.

Inspect Kubernetes network flows and service relationships through Cilium's CLI and optional service-map interface.

Bring logs, metrics, traces, and infrastructure monitoring into one observability workspace.

Learning across the lifecycle of AI-powered applications

Insert a transform-and-routing layer between telemetry sources and observability or security destinations.

Explore traces and wide events from instrumented applications to investigate production behavior.

Store metrics, logs, and traces in one database and query them with SQL or PromQL.

Stream per-second infrastructure metrics from Netdata Agents into local or cloud observability views.

Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.

Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.

Collect infrastructure and application metrics, chart them, and alert when monitored conditions need attention.

Trace AI application behavior, surface recurring issues, and monitor agent quality, latency, and cost.

Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.

Trace AWS and serverless applications with transaction context and related troubleshooting signals.

Trace Python services and AI workflows with correlated OpenTelemetry data.

Active observability for inspecting agent traces and discovering production behavior patterns.