Create better experiences with Business Transaction detection and tracing of your Go applications. Monitor your Go applications in real time, correlate transactions across your distributed environment, and diagnose performance bottlenecks while running in a live production or development environment.
Get end-to-end visibility into your Go application environment
Automatically discover application topology and interdependencies
Correlate and trace key business transactions based on production application behavior
Visualize and prioritize the end to end business transactions performance—not just the health of the application and infrastructure nodes
Dynamic baselining provides true measurements to maintain an ideal user experience for any Go application.
Only get alerted about business-critical issues with automatic performance baselining
Integrate your AppDynamics alerting system with third party solutions like, ServiceNow, PagerDuty, and Jira
Minimize application downtime with real-time error detection
Detect the errors and exceptions thrown by application components in real time
Fix the errors and proactively address the exceptions with policy-based actions with Runbook Automation
Manage performance of heterogeneous databases in context with your Go monitoring
Visually understand how database performance is impacting your overall application
Diagnose issues and pinpoint the queries causing performance bottlenecks
Understand end-user experiences across the globe
Visually monitor your mobile and web user experience anywhere through a single pane of glass in context with your application performance
Rapidly identify the root cause of problems in applications impacting the end user
Correlate your Go monitoring with underlying server infrastructure visibility
Understand infrastructure resource consumption in the context of application performance and end-user experience
Automatically capture infrastructure snapshots in context with Business Transactions when performance degrades
"It was simple to deploy. It took minutes, literally. On our first proof-of-concept, we saw results within an hour."
Eric Poon, Director of Operations Analytics, Nasdaq