— VoIP, SIP, Networking, Passive Monitoring — 2 min read
In modern call center or VoIP environments—especially those using legacy or third-party systems like CTI, Asterisk, or KT’s carrier infrastructure—it's often impossible or risky to directly inject new services like Speech-to-Text (STT) monitoring into the production path.
As a Technical Lead, my priority was to capture all SIP and RTP traffic for transcription, without impacting any part of the production call flow. The safest way to do this is using Port Mirroring (SPAN) on a network switch.
This note covers how Port Mirroring works, what hardware supports it, and how you can set up a monitoring server to sniff SIP and RTP traffic with pyshark
, sngrep
, or tshark
.
Port Mirroring, or SPAN (Switch Port Analyzer), is a feature available in managed switches that allows you to create a copy of traffic from one or more ports (or VLANs) and forward it to another port, known as the monitoring port.
This technique is passive: it doesn’t modify or delay the original packets.
Use case:
Most Layer 2 Managed Switches support port mirroring.
Look for terms like: SPAN
, Mirror
, Monitor Session
, or Port Analysis
in your device’s manual.
Non-intrusive: No impact on production SIP server, CTI, or Asterisk Passive recording: No ACK, INVITE, or RTP packet is ever touched Full visibility: See both call signaling (SIP) and audio (RTP) Flexible: Multiple streams can be analyzed in parallel
It’s especially useful for:
Here’s a practical architecture:
On the monitoring server, run tools like:
1sudo sngrep -d eth02# Or pyshark3pyshark.LiveCapture(interface="eth0", display_filter="sip || rtp")
📝 Note: Ensure interface is in promiscuous mode if needed.
Port Mirroring is the foundation for passive SIP and RTP inspection in enterprise voice networks. Without touching or modifying any production system, you gain full insight into signaling and media flow.
This method has enabled me to roll out real-time STT monitoring on legacy CTI systems in production without any outage or risk.
I hope this guide helps other engineers looking to add AI-driven analysis, logging, or compliance tools to existing VoIP infrastructure.
Let’s build observability the right way — passively, safely, and smartly.
This article reflects real-world setups I’ve deployed as a Technical Lead. Written and structured with help from my AI assistant to enhance clarity and reusability.