Scalable VoIP and AI Call Protection on Kubernetes
FusionPBX, persistent call data, and real-time scam detection were brought together on one observable platform.
Problem Statement
A VoIP platform team needed to scale FusionPBX while adding real-time call verification and scam detection. The workload combined stateful communications data, a Python voice service, and strict reliability requirements, so the team also needed consistent cluster management and a clear view of metrics, dashboards, and logs.
CLIENT
VoIP platform team
PROJECT SCHEDULE
Aug 2024 to Dec 2024
PROJECT SIZE
$50,000 to $199,999
Proposed Solution
Containerized FusionPBX
FusionPBX was deployed on Kubernetes in a DigitalOcean cluster, with Rancher providing centralized cluster management.
Persistent call data
PostgreSQL ran as a StatefulSet so the communications workload retained durable data as application pods changed.
Real-time call verification
A Python voice service was integrated with the platform to verify calls and flag suspected scam activity in real time.
Metrics, dashboards, and logs
Prometheus, Grafana, and Loki provided a shared operational view for service health, performance, and troubleshooting.
Containerized CRM
Odoo CRM was deployed in containers alongside the communications platform to keep deployment and operations consistent.
The resulting platform separated the call path, persistent data, management, and observability concerns. That made scaling and troubleshooting more predictable as call volume changed.
Core tech stack we work with
Leveraging the Leading Programming Languages and Frameworks to Deliver Reliable, Scalable Solutions.
Outcomes & Success Metrics
Measurable improvements in performance, reliability, scalability, and cost.
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