Between insightful visualizations like the application service map and the new simplified service- and trace-level root cause summaries, it’s easy to understand the relationships between services and their dependencies and pinpoint application performance issues with legacy and modern applications.

The auto-instrumented application service map provides context for how a service or dependency translates to end-user performance. With the application service map, you can drill into a particular service to view more detailed performance metrics.

provides context for how a service or dependency translates to end-user performance. With the application service map, you can drill into a particular service to view more detailed performance metrics. The service summary automatically evaluates service metrics and provides a simple explanation pinpointing latency, errors, spikes, and more. Roughly focused on the four golden signals of application performance, the service summary view includes response time, request rate, error rate, and CPU utilization. The summary screen shows you if your services are behaving normally, and if they aren’t, it shows you what the underlying issues are.

automatically evaluates service metrics and provides a simple explanation pinpointing latency, errors, spikes, and more. Roughly focused on the four golden signals of application performance, the service summary view includes response time, request rate, error rate, and CPU utilization. The summary screen shows you if your services are behaving normally, and if they aren’t, it shows you what the underlying issues are. The trace summary automatically evaluates a transaction and highlights where the service is spending most of its time. What happens if the application is looping through custom code? The new trace summary page (paired with live code profiling) will tell you which function was slow.