You can use the Splunk AppDynamics Kubernetes Collectors to observe the HorizontalPodAutoscaler (HPA) data. Autoscaling enables you to automatically scale cloud services, such as pods.
Currently, Splunk AppDynamics supports monitoring HPA data only.
When there is high load on the workloads, the HPA automatically adjusts the scale and more pods are deployed. Similarly, when the load decreases and the number of running pods are more than the configured minimum value, the HPA decreases the number of running pods.
You can observe the HPA data from the Workloads page. The data is available only when a workload has an associated HPA. The HPA data is not available for unscalable objects such as Daemonset.
For the HPA data, you can view the following widgets:
Current Replicas: Displays the details of the currently running replicas and the desired replicas, which the autoscaler periodically scales to adjust the load. It also includes the minimum and maximum values that you have configured in your HPA specification.
Capping Status: Displays the upscaling or downscaling events that happen because of HPA.
These widgets are displayed only on the workloads that have an associated HPA.
