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

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

Filter, transform, sample, and route telemetry before it reaches storage or an observability backend.

Collect, process, and route logs, metrics, and traces with a lightweight telemetry agent.

A composable pipeline for collecting, transforming, and routing logs and metrics.

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

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

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

Automatically instrument supported workloads with OpenTelemetry and route telemetry to a destination you choose.

Make tail-based sampling decisions across complete traces before forwarding telemetry.

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

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

An open-source telemetry collector for gathering, transforming, and exporting logs, metrics, traces, and profiles.

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

Monitors infrastructure, distributed applications, and user experience through a hosted Splunk service.

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

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

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

Export NVIDIA GPU telemetry as Prometheus metrics for hardware and workload monitoring.

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.

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

Store and query observability telemetry in a columnar data lake with SQL and PromQL.

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