Monitoring

Assure service-provider network performance with active tests, real-time visibility, and predictive alerts.

Collect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.

Discover and monitor network devices with agent-native monitoring, alerts, and topology tools.

Measure network quality continuously from branch, cloud, Wi-Fi, and remote-worker vantage points.

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

Manage Prometheus and Alertmanager deployments through Kubernetes-native custom resources.

Trace backend requests and inspect the database calls, external dependencies, and errors that affect their performance.

Collect distributed traces and inspect how a request moves through AWS resources and downstream services.

Agent tracing, online evaluation, and alerts for monitoring production AI behavior.

Trace LLM and agent runs, then monitor production quality, latency, errors, and cost in dashboards.

Correlate application traces, metrics, logs, and service context to investigate performance.

Collect and inspect distributed traces from instrumented applications with a self-managed tracing platform.

Run threshold-based checks for servers, network devices, applications, and services from a Linux monitoring server.

Investigate monitoring alerts with an AI SRE agent and review findings in a centralized platform.

Watch Unix services and resources, alert on failures, and run configured recovery actions.

Visualizes and helps troubleshoot workloads in an Istio service mesh.

A managed observability service for centralizing infrastructure metrics alongside logs and traces.

Collect logs, metrics, and traces through OpenTelemetry or cloud integrations, then investigate alert signals in a shared telemetry workspace.

Monitor websites, servers, cloud services, applications, networks, and user experience from one hosted operations console.

Collect AWS and application telemetry, build dashboards, and alert when monitored metrics cross a threshold.

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

Collect numeric service metrics by scraping HTTP endpoints and query them with PromQL.

Investigate database health and query bottlenecks across a mixed database estate from one console.

Instrument applications with agents or OpenTelemetry, then inspect performance, errors, traces, and service context.