Manage Capacity Planning with Advanced Analytics Tools
A key feature within the Skydera platform is our analytics tools. We want to help you see how your cloud infrastructure is serving you, how much it’s costing you over all the cloud vendors and how your organization is utilizing your cloud infrastructure. You have the tools to see what your overall utilization, overall server load, overall cost from the department level down to the user. Say good bye to the days of trying to figure out how much your cloud usage was last month. Say good bye to the days of trying to figure out how much load your cloud infrastructure is under. Say good bye to the days of knowing how much to charge back to the departments within your organization for usage within your cloud infrastructure. Say hello to the Skydera analytics tools. Say hello to your new founded insight.
Server Utilization
Server utilization at a glance. Know exactly how much stress your servers are under.
Cost Per Dept./User
Get insight into how much each department within your organization utilizes your cloud infrastructure.
Server load and server utilization is paramount in capacity planning.
Skydera provides the tools you need to understand what’s going on with your cloud infrastructure out of the box. Skydera automatically calculates your overall server utilization over several key matrixes such as CPU utilization, Memory Usage and Disk Capacity. Have everything you need to make the decisions that matter for your organization and its cloud infrastructure.
For medium and large organization, tracking cost for cloud infrastructure can prove challenging.
Knowing how much each department is using or has used over a particular time frame can be a task taking several hours, with the Skydera platform you can get this information within seconds. Know exactly how much each department or user has used over any given time period. You’re also able to see active verses inactive servers in real time. The power to see what your organization and users are using all in one place.
