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

Trace server-side requests to find slow methods, database queries, and external service calls.

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

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

Store and query Prometheus-compatible metrics with a single-node binary or a scalable cluster.

Expose current Kubernetes object state as metrics for a separate monitoring system to scrape and analyze.

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

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

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

Adds a global query view, high availability, and long-term storage to Prometheus deployments.

Check website and server availability from external locations and alert a team when a test fails.

Capture application errors, stability signals, performance issues, and traces across mobile and web apps.

Open-source tracing and production evaluation for LLM applications and agents.

Use Tencent Cloud's managed Prometheus service for metrics, Grafana dashboards, and cloud alerts.

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

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

Collect Windows machine and service measurements through configurable Prometheus collectors.

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

Traces AI agents in production and dispatches coding agents to fix failures.

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

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

AI developer platform with Opik for LLM observability, evaluation, and agent debugging.

Trace AI application behavior, surface recurring issues, and monitor agent quality, latency, and cost.

Centralize application and infrastructure logs for search, monitoring, and troubleshooting in a managed cloud analytics service.