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Assume that GCP Kubernetes Cluster is created beforehand based on various cloud providers installation guide here. |
This section describes how to setup Diameter Server and Diameter Client hosted in the same Kubernetes Cluster. For example, Diameter Server and Diameter Client hosted in GCP Kubernetes Cluster.
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On the Configure EC Tab, fill in the EC Deployment Name and the rest of the fields if needed. Click Next to continue.
On the Configure Auto Scale Tab, do not enable Auto Scaling. Click Next to continue.
On the Configure Workflow Tab, create a new real time workflow from the selected workflow template i.e., Diameter Server or Diameter Client (either one). Click Next to continue.
On the Configure Network Tab, create a Network Service type ClusterIP with appropriate port. The Service Name must be set to the Diameter Server or Diameter Client hostname.
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Select the Diameter Server workflow that is currently running and click Open Monitor.
Then select Enable Debug and select Diameter Stack agent in the agent debug panel to view the debug log.
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2024-09-09 11:46:59 Diameter_Stack_1 Received Device-Watchdog-Request from peer client-digitalroute-com
{rawCmdflags=0x80, Origin_Host=client-digitalroute-com, Is_Error=false, EndToEndIdentifier=-113390638, className=D_Device_Watchdog_Request, Origin_State_Id=null, Is_Request=true, HopByHopIdentifier=2015775415, Origin_Realm=digitalroute.com, Is_Retransmit=false, Is_Proxiable=false}
2024-09-09 11:46:59 Diameter_Stack_1 transmitting targeted Device-Watchdog-Answer e2e=-113390638 hbh=2015775415 target=/10.11.1.20:49810 cmd={EndToEndIdentifier=-113390638, className=D_Device_Watchdog_Answer, rawCmdflags=0x0, Origin_Host=server-digitalroute-com, Is_Error=false, Error_Message=null, Origin_State_Id=null, Is_Request=false, HopByHopIdentifier=2015775415, Result_Code=2001, Origin_Realm=digitalroute.com, Failed_AVP=null, Is_Retransmit=false, Is_Proxiable=false} |
(OldThe following section is Deprecated)
The following examples shows how to setup both Diameter server and client inside the same cluster.
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