SIP3
Self-HostedOpen-source SIP monitoring & troubleshooting platform
Overview
SIP3 is an open-source platform for real-time monitoring, troubleshooting, and analytics of SIP, RTP, and WebRTC communications. It provides insights into call quality (MOS score, jitter, packet loss), detects anomalies, and helps resolve issues quickly. With a distributed architecture, it scales to handle high call volumes. Deploy via Docker Compose or Kubernetes for easy setup. Features include interactive dashboards, call flow visualization, alerting, and integration with Prometheus and Grafana—ideal for telecom operators and enterprises to ensure reliable communication services.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
sip3:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: sip3
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Real-time SIP/RTP/WebRTC monitoring
- Call quality analytics (MOS, jitter, packet loss)
- Distributed scalable architecture
- Docker/Kubernetes deployment support
Frequently Asked Questions
? Is SIP3 hard to install?
SIP3 offers Docker Compose and Kubernetes manifests for quick basic setup. While large-scale configurations require networking knowledge, the core deployment takes minutes with containerization tools.
? Is it a good alternative to proprietary SIP monitoring tools?
Yes—SIP3 provides comparable real-time monitoring and call quality analytics, but as open-source software, it eliminates subscription costs and lets you host data internally for privacy.
? Is SIP3 completely free?
The self-hosted open-source edition of SIP3 is free to use. A commercial Enterprise version exists with additional features like 24/7 support and advanced integrations, but the core platform remains open-source.
Top Alternatives
People Also Ask about SIP3
Tool Info
Pros
- ⊕ Open-source & self-hosted (full data control)
- ⊕ Comprehensive call quality insights
- ⊕ Supports modern protocols like WebRTC
- ⊕ Integrates with Prometheus & Grafana
Cons
- ⊖ Requires server resources for large-scale deployments
- ⊖ Technical setup needs SIP/networking expertise
- ⊖ Steep learning curve for advanced analytics