π Note
This article was AI-generated and requires review by the Innomesh product team to verify accuracy and completeness.
A Pulse room is deployed from a Pulse template and represents a physical location with devices you want to monitor using lightweight ICMP, TCP, and HTTP health checks. Each room inherits the device monitoring configuration from its template, and you provide the specific network details for each device.
Prerequisites
- A Pulse template must already exist (see Creating a Pulse Template/)
- Administrator or room-creation permissions in Innomesh Room Manager
- IP addresses or hostnames for the devices you want to monitor
Creating the Room
- Navigate to the Rooms page in Room Manager.
- Click Add New Room.
- Enter a room name that identifies the physical location.
- Select the Pulse template on which to base the room.
- Select the zone for the room.
- Click Create.
Configuring Device Details
After creating the room, configure each deviceβs network details:
- Open the room by clicking its name in the Rooms list.
- For each device inherited from the template, enter:
- IP Address or Hostname
- Port (if different from the default for the protocol)
- Save the room configuration.
Pulse does not require a software version selection. The monitoring configuration is lightweight and changes to the Pulse template do not affect existing rooms.
Monitoring Protocols
Pulse supports three monitoring protocols per device:
| Protocol | What It Checks | Typical Use |
|---|---|---|
| ICMP (Ping) | Network reachability and response time | Basic uptime monitoring for any IP device |
| TCP | Port connectivity and response time | Service availability checks (e.g., port 80, 443) |
| HTTP | HTTP response code and response time | Web service and API endpoint monitoring |
After Deployment
Once deployed, the Pulse room begins monitoring. View results in:
- Portal Vitals page (Pulse tab): Response times, uptime percentages, and health trends
- Hotlist: Alerts triggered when devices fail health checks
- Insights: Historical monitoring data and trend analysis