This article servers as a guide to the dedicated server health metrics, explaining the various statuses and types of metrics used to monitor server performance
This feature is limited to enterprise customers with dedicated servers.
To access these metrics follow the instructions below:
How to Access Server Health Metrics
- Log in to the StreamShark portal
- Click the Dedicated Servers button under the Customization tab on the left hand menu in the StreamShark portal. (If you do not see the Dedicated Servers button, please contact our support)
Notice the Health column indicating the server health
Understanding Server Health Status
In the Health column, you'll see an overall health status for each server, categorized as follows:
| Health Status | Description |
| Healthy | All metrics are considered healthy within optimal ranges |
| May Require Attention | There is at least one metric that is approaching a threshold concern that may require attention |
| Needs Attention | There is at least one metric that has exceeded acceptable limits, impacting performance |
| Unavailable | Unable to retrieve metrics at this time |
For more detailed insights into each server's health, click on the health status. A popup will display showcasing specific metrics and their current statuses
Detailed Metrics Overview
The following table below describes the key metrics used to evaluate server health, along with possible status levels:
| Metric | Description | Healthy | May Require Attention | Needs Attention |
| CPU | Indicates the status of the percentage of CPU usage | CPU usage is within a safe range with no performance impact | High CPU usage that may slow down performance | Excessive CPU usage that may significantly degrade performance |
| Memory | Shows the status of the percentage of allocated memory in use |
Memory usage is within an acceptable range that does not impact performance | High memory usage usage which could lead to slower performance | Excessive memory usage that may lead to system instability |
| Disk | Represents the percentage of disk space currently in use | Sufficient free space available for new data | High disk space usage which could impact the ability to store larger files | Disk space usage is excessively high, potentially preventing the ability to store new data which could cause applications to fail |