Monitoring

Find production performance bottlenecks in PHP and Python applications, then inspect the responsible code paths.

Search Kubernetes network traffic by workload, API, and network context, then save packet captures for later review.

Collect Windows machine and service measurements through configurable Prometheus collectors.

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

Monitor networks, servers, and hybrid infrastructure with agentless discovery, maps, dashboards, and alerts.

Map network devices and surface bandwidth, packet-loss, jitter, and connectivity issues with live alerts.

Watch backup jobs and virtual infrastructure through Veeam ONE dashboards, alarms, reports, and capacity planning.

Aggregate the published status of the external services your team depends on.

An agent-based monitoring pipeline that turns checks and metrics into routed, actionable events.

Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.

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

Trace, analyze, and improve LLM and agent applications in a hosted or self-managed workspace.

Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.

Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.

AI-guided cloud-native observability for telemetry, service health, and cost control.

Correlates logs, metrics, traces, and user-experience telemetry for application and infrastructure troubleshooting.

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

Inspect database health and query performance across mixed on-premises and cloud estates.

Define synthetic API and browser checks as code and run them on a schedule.

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

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

An LLM request gateway and dashboard for tracing calls, latency, and model spend.

Run configurable host and service checks from a self-managed infrastructure monitor.

Capture and group application errors, then use stack traces and release context to investigate the failures reaching users.