Threshold and Availability

Thresholds are established preset values for monitored metrics, which, when exceeded, trigger alerts. This helps in promptly addressing performance issues. The platform's availability monitoring involves consistent checks on resource accessibility to ensure operational status (Up, Down, Trouble, Critical), with generated alerts notifying of any change via your preferred communication medium.

A default threshold and availability profile for the resource type will be automatically listed in Threshold and Availability screen when the users for the first time, log in to Site24x7 and click Admin > Inventory > Monitors > Add Monitor and select the desired service.

To add a new threshold and availability profile,

Log in to Site24x7.
Click Admin > Configuration Profiles > Threshold and Availability.
Click Add Threshold and Availability in Threshold and Availability screen.
Specify the following details for adding threshold and downtime rules for the service:
- Choose Monitor Type: Select the desired monitor type from the drop down list.
- Display Name: Provide a label for identification purpose.
- Number of location to report monitor as down: Choose from the drop down to receive alert notification when the web service is down from specified number of locations.
Threshold Configuration
The threshold configuration will be set based on the values you provide for the sections below. A combination of these will be available for configuration, according to the monitor type you choose.
- Condition: Choose amongst <, >, =, <=, or >= to set the criteria to trigger alerts based on its operation with the input value.
- Threshold value: This is a value you can provide for any performance metric. For example, it can be CPU usage percentage, memory usage, or network latency. The values are compared against the conditions you've defined to determine whether an alert should be triggered.
- Poll Strategy: Poll strategy defines the interval at which Site24x7 sends requests to gather metrics. It varies depending on the resource type and the level of granularity you require in monitoring. For example, you might choose to poll a critical resource more frequently but poll less critical resources at much more extended intervals.
- Poll Value: The poll value represents the latest data point collected from a monitored resource during a polling interval. It's the actual measurement that is being monitored. This value is used to evaluate against the conditions you've set.
- Notify As: It defines the status under which alerts should be sent. It allows you to customize when you want to receive notifications about a resource's status change. For instance, based on the values you provide, you can opt to get notified immediately when the value is breached based on the criticality.
  
  5.1 Zia-based threshold:
  The AI-based threshold will track the abnormal spikes using anomaly detection and will offer a dynamic threshold which will be updated accordingly. If you're choosing AI-based threshold, choose associated anomaly severity and the status accordingly.
Click Save.
The threshold and availability profile created for the service will be automatically listed in Threshold and Availability screen along with the others already created.

Edit Threshold and Availability

Click the profile which you want to edit.
Edit the parameters which needs to be changed in Add Threshold and Availability window.
Click Save.

Delete the Threshold and Availability

Click the profile in the Threshold and Availability screen which needs to be deleted.
This will navigate to Add Threshold and Availability window.
Click Delete.

You can always clone a threshold profile or delete it from the Threshold Profiles list by accessing the hamburger icon. Configure Downtime Rules to reduce false alerts for the following monitors:

Synthetic Transactions

Web Transaction | REST API Transaction | Web Transaction (Browser)

Internet Service Monitors

Virtualization Monitoring

VMware VDI: Horizon

Nutanix: Nutanix Cluster | Nutanix Host | Nutanix VM

Veeam: Backup Server

AWS Monitoring

Server Monitoring