Datadog Application Performance Monitoring (APM)
Datadog Application Performance Monitoring (APM)
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Datadog is analytical monitoring, and security servicing enterprise for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.
Datadog Application Performance Monitoring (APM) provides end-to-end distributed tracing from frontend devices to databases—with no sampling. By seamlessly correlating distributed traces with frontend and backend data, Datadog APM enables you to monitor service dependencies, reduce latency, and eliminate errors.
Datadog brings together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable. Datadog is used across a wide range of enterprises and various sizes of industries to enhance Digital transformation, cloud security, infrastructure monitoring, application performance monitoring, and log management of customers' technology stack.
Datadog is the best analytical, security, and monitoring platform for developers, IT operations teams, security engineers, and business users of small and medium scale industries, also for large-scale organizations.
Supported platform:
WINDOWS
Language:
English
Average Team Size:
100
Monitor every service, every code deployment, and every request
End-to-end distributed tracing for any app at any scaleTracing without limitsAuto-retention of errorsGenerate metrics from all ingested SpansTrace outlets for fast root cause detection.Service dependency visualizationDeployment TrackingSearch & analyze 100% of traces using any tagsTag-based Retention FiltersTag any trace with any metadataOptimize code performance in production with minimal overhead.
Tracing without limitsTag any trace with any metadataResource consumptionSearch & analyze 100% of traces using any tagsDetect performance regressions after code deploysDeployment TrackingGenerate metrics from all ingested SpansTrace outlets for fast root cause detectionCorrelate infrastructure metricsService dependency visualizationAuto-retention of errorsLow overhead code profilingEnd-to-end distributed tracing for any app at any scaleTag-based Retention FiltersCode hotspots for every requestAutomatic code analysis.