Server PDU Logs
The SMPP Server PDU Logs in iTextPRO are essential for monitoring and troubleshooting message transactions between the ESME (External Short Message Entity) user and the iTextPRO platform.
These logs capture downstream traffic and provide granular details that aid in efficient issue resolution.
Key Features
- Comprehensive Transaction Logging – Records every message transaction between the ESME user and iTextPRO.
- Troubleshooting Support – Critical for diagnosing and resolving communication issues.
- Admin Time Zone – Logs are displayed in the administrator’s time zone for accurate reference.
Downstream Traffic
Tracks the journey of messages from the ESME user to iTextPRO, providing visibility into delivery flow and status.
Verbosity Levels
Understanding the verbosity levels helps in monitoring and troubleshooting:
| Verbosity Level | Description | Purpose |
|---|---|---|
| Bind Request | ESME user initiates connection. | Establishes connection with iTextPRO. |
| Bind Response | iTextPRO responds to connection request. | Acknowledges ESME user's connection. |
| Enquire Link Request / Response | Health check call from ESME user and corresponding response. | Verifies iTextPRO session status (recommended interval: 30 seconds). |
| Submit_SM Request | ESME user initiates message request. | Sends SMS messages to iTextPRO. |
| Submit_SM Response | iTextPRO responds to message request. | Acknowledges SMS submission. |
| Deliver_SM Request | DLR (Delivery Report) received by iTextPRO for a submitted message. | Updates delivery status for submitted SMS. |
| Deliver_SM Response | ESME user acknowledges DLR request. | Confirms receipt of delivery status. |
| Unbind Request | ESME user initiates unbind request. | Terminates connected sessions. |
Best Practices
- Regularly Review Logs – Ensures robust monitoring and quick detection of transaction-related issues.
- Leverage Verbosity Insights – Use the captured PDU details to maintain effective communication between ESME and iTextPRO.
- Prompt Action – Address anomalies as soon as they are detected to maintain optimal system performance.