Azure Monitor
azure.microsoft.comCollect and analyze metrics, logs, and traces, then alert or automate a response to service problems.
Collect and analyze metrics, logs, and traces, then alert or automate a response to service problems.
Collect application metrics and traces with eBPF-based auto-instrumentation instead of adding a language agent.
A managed observability service for centralizing infrastructure metrics alongside logs and traces.
Collect numeric service metrics by scraping HTTP endpoints and query them with PromQL.
Collect logs, metrics, traces, and profiles in a unified observability platform.
Correlate OpenTelemetry metrics, traces, and logs in a shared observability workspace.
AI-guided cloud-native observability for telemetry, service health, and cost control.
Monitor Kubernetes, containers, cloud services, and Prometheus metrics with managed collection and alerting.
Connect product metrics and funnels with the sessions behind them.
Expose Unix host hardware and kernel measurements at a Prometheus scrape endpoint.
Task-based UX studies with built-in research metrics
Inspect glyphs, features, metadata and metrics from a font file.
Use font metrics to align capital height, spacing and fallback text.
Self-hosted full-stack observability with eBPF telemetry and service-level insights.
Centralize metrics, logs, traces, and profiles from applications and infrastructure.
Put connected operational metrics on shared dashboards and team screens.
Define shared metrics and joins as code for dashboards and data applications.
A plugin-driven agent that collects, processes, and routes metrics and events to configurable destinations.
Use network-flow and packet-derived metrics to locate performance degradation across network paths.
A composable pipeline for collecting, transforming, and routing logs and metrics.
Send infrastructure metrics, logs, traces, and synthetic checks to a hosted observability workspace.
Filter, transform, sample, and route telemetry before it reaches storage or an observability backend.
Collect infrastructure and application telemetry, then explore logs, traces, metrics, and user behavior together.
Collect OpenTelemetry signals, control their volume, and create operational checks from one observability workspace.