Node type view

Explore the node type view of Infrafit

Identify wasted node resources and gain optimization insights to select the right nodes to better serve your environment's needs with the Node Types view.

Node type view

Column	Descripti
Node Type	Displays the Instance Type Name. Click on a column title or use a drop-down list to sort or filter data.
Architecture	Displays the Node Architecture. Click on a column title or use a drop-down list to sort or filter data.
Reservation	Display the reservation type of nodes. Click on a column title or use a drop-down list to sort or filter data.
CPU/Mem (node)	Refers to the size of the instance type (memory and CPU).
Nodes (avg & max)	Displays the average and maximum number of nodes with the specific instance type. Click on a column title to sort data.
Avg Pods/node	Current average number of pods per the node in the node group.
Max Pods/node	The maximum possible pods that can be scheduled on the node.
Node Group	Displays which group nodes with a specific instance type belong to. Click on a column title or use a drop-down list to sort or filter data.
Running Hours	Displays the total instance running hours.
Avg Cost/h	Displays the average cost per hour of the instance with the specific type. Click on a column title to sort data.
Total Cost	Displays the total cost of nodes with the specific type. Click on a column title to sort data.
Idle Cost	Displays the cost of the space in nodes with the specific types that has never been used. Click on a column title to sort the data.
Last Seen	Displays the last time PerfectScale observed the node with the specific instance type.
Utilization	A visual representation of CPU and Memory Utilization (allocation, request, and usage) based on the selected usage percentile. Use a drop-down list to filter data with the needed value. Clicking on a specific node type will navigate you to the workloads table, displaying the workloads associated with that node type. This view is particularly helpful for identifying the most wasteful workload running on the node with the selected type and providing data-driven recommendations on how to eliminate it in a few clicks. To explore the workload details at a deeper level, click on the specific workload to open a Zoom-in window that provides an in-depth view.