Datadog Microservices Monitoring

Set up in minutes, and instantly visualize your traces with full control over ingestion, retention, and costs

Optimize the most resource consuming lines of production code with our low-overhead Continuous Profiler

Requests, errors, and latency metrics for every code deploy including out-of-the-box code version comparisons

0-second OOTB high resolution, 1-second availability for critical metrics, 15-month retention, and no roll-up, ever

Track All Your Microservices in a Single Platform

Monitor all aspects of your data architecture from the slow queries to the 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

Eliminate system blindspots by automatically discovering all your services, whether first- or third-party, without instrumenting any code
Reduce mean time to detection through effortless dependency mapping, powered by the revolutionary eBPF technology
Achieve broader, real-time visibility of your system architecture, including services and dependencies written in otherwise incompatible languages

Gain instant visibility into every service and deployment with real-time RED metrics and correlated telemetry
Improve application reliability by rolling out consistent SLOs across dependent services, regardless of technology fragmentation
Immediately catch issues as they arise in any service with out-of-the-box visualizations and alerts

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
Eliminate inefficiencies caused by context switching with a consolidated platform for monitoring, paging, and resolving incidents

Automatically detect when containers are created and destroyed to ensure full coverage of your cloud infrastructure
Discover and track all your services running on containers, no matter how dynamic or ephemeral
Surface critical information about every layer of your Kubernetes clusters with a multidimensional view of your workloads