Objects, Relationships, Alerts, and Metrics in Management Pack for VMware Aria Operations for Applications

The Management Pack for VMware Aria Operations for Applications creates objects, metrics, and relationships in Aria Operations based on Metrics in Aria Operations for Applications.

Object Types

VMware Aria Operations for Applications Adapter Instance

K8s Cluster

K8s Node

K8s Namespace

K8s Deployment

K8s ReplicaSet

K8s Pod

Relationships

Parent	Child
Cluster	Node
Cluster	Namespace
Namespace	Deployment
Deployment	ReplicaSet
Node	Pod
Namespace	Pod
ReplicaSet	Pod

Alerts

Alert Name
K8s pod CPU usage too high
K8s pod memory usage too high
K8s too many pods crashing
K8s node CPU usage too high
K8s node storage usage too high
K8s node memory usage too high
K8s too many containers not running
K8s node unhealthy
K8s pod storage usage too high

Metrics

Note:

Deployments, Pods, and ReplicaSets do not have metrics.

Note:

The WQL queries used to gather Kubernetes metrics are querying data points over the last 5 minutes. In servicing these queries, VMware Aria Operations for Applications performs data interpolation to provide reasonable values where there are gaps.

Cluster Metrics

Metric Name	Description	WQL Query
Active Nodes	Count of active nodes	at(5m,align(5m,count(ts({metric_prefix}.node.memory.working_set), cluster)))
Inactive Nodes	Count of inactive nodes	at(5m,align(5m, count(lowpass(1, ts({metric_prefix}.node.status.condition,condition='Ready'),cluster))))
Namespaces	Count of namespaces	at(5m,count(align(5m, mean, count(ts({metric_prefix}.ns.memory.usage), cluster, namespace_name)), cluster))
Pods	Count of pods	at(5m,sum(align(5m, mean, ts({metric_prefix}.cluster.pod.count)),cluster))
CPU Usage	Average CPU usage in millicores	at(5m,align(5m,sum(ts({metric_prefix}.cluster.cpu.usage_rate), cluster)))
Memory Usage	Memory usage in bytes	at(5m,align(5m,sum(ts({metric_prefix}.cluster.memory.usage),cluster)))
Average Memory Utilization	Total node working set memory divided by total node allocatable memory, across the cluster, as a percentage	at(5m,avg(align(5m,ts({metric_prefix}.node.memory.working_set)) / align(5m,ts({metric_prefix}.node.memory.node_allocatable)) * 100, cluster))
Average CPU Utilization	Average node CPU utilization across the cluster, as a percentage	at(5m,avg(align(5m,mean,ts({metric_prefix}.node.cpu.node_utilization)), cluster) * 100)
Average Storage Utilization	Total node filesystem usage divided by total node filesystem limit, across the cluster, as a percentage	at(5m,avg(align(5m,ts({metric_prefix}.node.filesystem.usage)) / align(5m,ts({metric_prefix}.node.filesystem.limit)),cluster) * 100)

Node Metrics

Metric Name	Description	WQL Query
Status	The overall status of the node. Either Ready or Not Ready.	at(5m,ts(kubernetes.node.status.condition, condition=Ready))
CPU Allocatable	CPU allocatable in millicores.	at(5m,align(5m, ts(kubernetes.node.cpu.node_allocatable, nodename and cluster)))
CPU Capacity	CPU capacity in millicores.	at(5m,align(5m,ts(kubernetes.node.cpu.node_capacity, nodename and cluster)))
CPU Reserved	Share of CPU that is reserved on the node allocatable in millicores.	at(5m,align(5m,ts(kubernetes.node.cpu.node_reservation, nodename and cluster)))
CPU Utilization	CPU utilization as a share of node allocatable in millicores.	at(5m,align(5m,avg(ts(kubernetes.node.cpu.node_utilization, nodename and cluster), cluster, nodename) * 100))
Memory Allocatable	Memory allocatable in bytes	at(5m,align(5m,ts(kubernetes.node.memory.node_allocatable, nodename and cluster)))
Memory Capacity	Memory capacity in bytes	at(5m,align(5m,ts(kubernetes.node.memory.node_capacity, nodename and cluster)))
Memory Reserved	Share of memory that is reserved on the node allocatable in bytes	at(5m,align(5m,ts(kubernetes.node.memory.node_reservation, nodename and cluster)))
Memory Utilization	Memory utilization as a share of memory allocatable. A percentage.	at(5m,align(5m, avg(ts(kubernetes.node.memory.working_set, nodename and cluster) / ts(kubernetes.node.memory.node_allocatable, nodename and cluster), cluster, nodename) * 100
Filesystem Available	The number of available bytes remaining in the filesystem.	at(5m,align(5m,ts(kubernetes.node.filesystem.available, nodename and cluster)))
Filesystem Limit	The total size of the filesystem in bytes	at(5m,align(5m,ts(kubernetes.node.filesystem.limit, nodename and cluster)))
Filesystem Usage	Total bytes consumed by the filesystem as a percentage of the Filesystem Limit	at(5m,align(5m,(limit(250, ts(kubernetes.node.filesystem.usage, nodename and cluster)/ts(kubernetes.node.filesystem.limit)) * 100)))

Namespace Metrics

Metric Name	Description	WQL Query
Total Number of Pods	Count of Pods in the Namespace	at(5m,sum(align(60s, ts(kubernetes.ns.pod.count)), namespace_name, cluster))
Number of pods with status Running	Pods in the Namespace in phase Running	at(5m, count(align(60s,ts(kubernetes.pod.status.phase, phase=Running)), namespace_name, cluster))
Number of pods with status Pending	Pods in the Namespace in phase Pending	at(5m, count(align(60s, ts(kubernetes.pod.status.phase, phase=Pending)), namespace_name, cluster))
Number of pods with status Succeeded	Pods in the Namespace in phase Succeeded	at(5m, count(align(60s, ts(kubernetes.pod.status.phase, phase=Succeeded)), namespace_name, cluster))
Number of pods with status Failed	Pods in the Namespace in phase Failed	at(5m, count(align(60s, ts(kubernetes.pod.status.phase, phase=Failed)), namespace_name, cluster))
Number of pods with status Unknown	Pods in the Namespace in phase Unknown	at(5m, count(align(60s, ts(kubernetes.pod.status.phase, phase=Unknown)), namespace_name, cluster))
CPU Utilization	Mean CPU usage over the last 5 minutes.	at(5m,avg(align(5m, mean, ts(kubernetes.ns.cpu.usage_rate)), cluster, namespace_name))
Memory Usage	Total memory usage of the namespace across all nodes	at(5m,sum(align(5m,ts(kubernetes.ns.memory.usage)),cluster, namespace_name))