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Use Kubernetes-focused AI SRE agents to investigate incidents and act on existing operational context.

Manage OpenTelemetry Collectors and opt-in workload instrumentation through Kubernetes resources.

Instrument browser applications with client-side real-user monitoring signals for a Grafana observability stack.

Collect distributed traces and service health data to investigate application performance.

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

Centralize metrics, logs, traces, and profiles from applications and infrastructure.

Correlate operational alerts and service signals to prioritize incidents by business impact.

A plugin-driven agent that collects, processes, and routes metrics and events to configurable destinations.

Bring application, infrastructure, database, network, log, and digital-experience monitoring into one hosted workspace.

Host a browser speed test with configurable telemetry

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

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

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

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

Collect OpenTelemetry traces, metrics, and logs in a hosted or self-managed observability platform.

Instrument LLMs, agents, vector databases, and frameworks with OpenTelemetry-native AI monitoring.

Discover supported services and connect application, infrastructure, and user-experience signals for investigation.

Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.

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.

Explore logs, metrics, traces, and exceptions in one OpenTelemetry-based observability platform.

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

Self-hosted full-stack observability with eBPF telemetry and service-level insights.