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LLM tracing and quality monitors built around OpenTelemetry instrumentation.

An LLM operations platform for tracing production calls and watching quality, cost, and latency.

A dedicated internal messenger offered as air-gapped, self-hosted, on-premises, or cloud-hosted.

Instrument an application to collect exceptions, slow requests, logs, and performance signals in a hosted monitoring service.

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

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 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.

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

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

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

Aggregate log streams by labels and query their contents through Grafana Loki.

Website statistics through hosted service, self-hosting or imported logs.

EU-hosted team chat with passwordless access, calls, and open-source clients.

Connect hybrid infrastructure telemetry to service context, dependencies, and operational response.

Coordinate work on a self-hosted Kanban board with a free Community edition and paid team options.

Mobile app observability for crashes, performance, user sessions, and product signals.

Receive, process, and route traces, metrics, and logs to one or more observability backends.

Stores and queries continuous application profiles to reveal resource use down to code-level details.

Collect and analyze metrics, logs, and traces, then alert or automate a response to service problems.

Monitor production ML and LLM systems for drift, quality, fairness, and agent behavior.

Collect and analyze network flows and telemetry to understand performance and activity across connected systems.