Azure Spring Cloud

Dynatrace ingests metrics for multiple preselected namespaces, including Azure Spring Cloud. You can view metrics for each service instance, split metrics into multiple dimensions, and create custom charts that you can pin to your dashboards.

Prerequisites

  • Dynatrace version 1.200+
  • Environment ActiveGate version 1.195+

Enable monitoring

To enable monitoring for this service, you first need to set up integration with Azure Monitor.

Add the service to monitoring

In order to view the service metrics, you must add the service to monitoring in your Dynatrace environment.

Configure service metrics

Once you add a service, Dynatrace starts automatically collecting a suite of metrics for this particular service. These are recommended metrics.

Recommended metrics:

  • Are enabled by default
  • Can't be disabled
  • Can have recommended dimensions (enabled by default, can't be disabled)
  • Can have optional dimensions (disabled by default, can be enabled).

Apart from the recommended metrics, most services have the possibility of enabling optional metrics.

Optional metrics:

  • Can be added and configured manually

View service metrics

Once you add the service to monitoring, you can view the service metrics in your Dynatrace environment either on your dashboard page or on the custom device overview page.

Import preset dashboards

Dynatrace provides preset Azure dashboards that you can import from GitHub to your environment's dashboard page. Once you download a preset dashboard locally, there are two ways to import it.

spring

Available metrics

Name Description Dimensions Unit Recommended
jvm.gc.live.data.size Size of old generation memory pool after a full GC AppName, Pod Byte ✔️
jvm.gc.max.data.size Max size of old generation memory pool AppName, Pod Byte ✔️
jvm.gc.memory.allocated Incremented for an increase in the size of the young generation memory pool after one GC to before the next AppName, Pod Byte ✔️
jvm.gc.memory.promoted Count of positive increases in the size of the old generation memory pool before GC to after GC AppName, Pod Byte ✔️
jvm.gc.pause.total.count GC pause count AppName, Pod Count ✔️
jvm.gc.pause.total.time GC pause total time AppName, Pod MilliSecond ✔️
jvm.memory.committed Memory assigned to JVM in bytes AppName, Pod Byte ✔️
jvm.memory.max The maximum amount of memory in bytes that can be used for memory management AppName, Pod Byte ✔️
jvm.memory.used App memory used in bytes AppName, Pod Byte ✔️
process.cpu.usage App JVM CPU usage percentage AppName, Pod Percent ✔️
system.cpu.usage The recent CPU usage for the whole system AppName, Pod Percent ✔️
tomcat.global.error Tomcat global error AppName, Pod Count ✔️
tomcat.global.received Tomcat total received bytes AppName, Pod Byte ✔️
tomcat.global.request.avg.time Tomcat request average time AppName, Pod MilliSecond ✔️
tomcat.global.request.max Tomcat request maximum time AppName, Pod MilliSecond ✔️
tomcat.global.request.total.count Tomcat request total count AppName, Pod Count ✔️
tomcat.global.request.total.time Tomcat request total time AppName, Pod MilliSecond ✔️
tomcat.global.sent Tomcat total sent bytes AppName, Pod Byte ✔️
tomcat.sessions.active.current Tomcat session active count AppName, Pod Count ✔️
tomcat.sessions.active.max Tomcat session maximum active count AppName, Pod Count ✔️
tomcat.sessions.alive.max Tomcat session maximum alive time AppName, Pod MilliSecond ✔️
tomcat.sessions.created Tomcat session created count AppName, Pod Count ✔️
tomcat.sessions.expired Tomcat session expired count AppName, Pod Count ✔️
tomcat.sessions.rejected Tomcat session rejected count AppName, Pod Count ✔️
tomcat.threads.config.max Tomcat configuration maximum thread count AppName, Pod Count ✔️
tomcat.threads.current Tomcat current thread count AppName, Pod Count ✔️