Best metrics tools

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

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

Collect application traces, metrics, logs, and error signals with language-specific agents.

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

Define monitored hosts, collected items, trigger thresholds, and notifications in an infrastructure monitoring platform.

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

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

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

Collect infrastructure and application metrics, chart them, and alert when monitored conditions need attention.

Managed observability for logs, traces, metrics, and events.

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

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

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

Run a self-managed time-series database for recent metrics and event data.

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

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.

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

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

Store metrics, logs, and traces in one database and query them with SQL or PromQL.

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

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

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

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