Datadog Golang Performance Monitoring

Monitor Go Application Performance

Detect, diagnose, and resolve code-level performance issues faster with real-time service maps, synthetic monitors, end-to-end tracing, continuous profiling, and centralized logging all within one platform.

Why Datadog?

End-to-End Distributed Tracing

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

Code Hotspots And Thread Level Insights

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

Automatic Deployment Tracking

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

Superior Granularity & Retention

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

Product Benefits

Simplify Complexity with End-to-End Visibility

Monitor all aspects of your application 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

Troubleshoot Go App Performance Issues Faster

Identify critical issues quickly with real-time service maps, AI-powered synthetic monitors, and alerts on latency, exceptions, code-level errors, log issues, and more
Resolve detected Golang problems faster with distributed request traces, logs, and infrastructure metrics all within one platform
Test hypotheses in seconds by overlaying application events onto time-synchronized metric graphs

Optimize Go Performance

Detect the most resource-consuming methods or classes in your Golang 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

Receive Alerts Only for the Issues that Matter and Eliminate False-Positives

Set up recommended alerts with 1 click for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
Proactively prevent outages and errors in the future by alerting on metric forecasts
Combine alerts into composite alerts for greater granularity and stronger signal to reduce the noise
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog

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Spend Less Time Scaling and Maintaining Your Tools

Save time scaling and maintaining your open source tools as complexity grows within your stack
Automatically instrument your applications for popular Go frameworks such as Gin and Gorilla
Efficiently analyze issues from any perspective with automated tagging integrated throughout the entire platform

Instantly Generate Application Logs, Spans, Metrics, and Span Tags without Redeploying Code

Expedite debugging of production issues with granular insights into application behavior and service interactions by adding log statements without changing code
Add spans to troubleshoot slow requests and specific operations in your application without leaving the Datadog platform
Create metrics on the fly that measure the time any method in your code is consuming in production, and use metric expressions to focus on specific requests

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