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Simplify Complexity with End-to-End Visibility

Monitor all aspects of your microservices architecture from the user interaction to back-end storage - in a single platform
Easily identify bottlenecks, errors, heavy traffic issues, slow-running queries, and more with end-to-end application tracing, latency breakdowns, continuous profiling, and real user monitoring
Automatically collect, monitor, and visualize high-granularity data and custom metrics in real time, including availability, response times, reliability, error rates, and throughput

Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and alerts on latency, exceptions, code-level errors, and more
View logs and traces in context with automatic trace_id injection
Test hypotheses in seconds by overlaying application events onto time-synchronized metric graphs

Detect the most resource-consuming methods or classes in your applications in seconds with a lightweight, next-generation profiler that’s easy-to-use and always-on
Determine the root cause of code issues with a breakdown of time spent by method on CPU, garbage collection, lock contention, and I/O; improve cpu utilization, memory allocation, and user latency
Surface runtime performance problems such as deadlocked threads, inefficient garbage collection, and memory leaks

Automatically collect, monitor, and visualize high-granularity metrics from all your containers at 15s. granularity for 15 months
Analyze the health of all your containers by pod, namespace, and node distributed across any cloud environment
Gain visibility into container orchestration and easily manage Kubernetes pods over or under-allocating available resources via the real-time live container view and auto-generated container map
Optimize horizontal auto-scaling by connecting Datadog to your HPA and collecting request rate, latency, and available network bandwidth

Proactively prevent outages and errors by alerting on metric forecasts or specific data point thresholds
Set up alerts for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog
Track all key service-level indicator metrics in real time, including availability, response times, reliability, error rates, and throughput