Scalable VoIP & AI Call Protection

Services provided on this Project

DevOps Managed Services
Cloud Consulting & SI
AWS Architecture Diagram

Problem Statement

The client needed a scalable, reliable VoIP solution that integrates AI for real-time call verification and scam call detection. The goal was to deploy FusionPBX on Kubernetes with seamless AI integration, along with Rancher for cluster management and monitoring tools like Prometheus, Grafana, and Loki. The challenge was to ensure high availability, performance, and smooth integration.

CLIENT

Goagalia

PROJECT SCHEDULE

Aug 2024 — Dec 2024

PROJECT SIZE

$50,000 to $199,999

Proposed Solution

FusionPBX was deployed on Kubernetes in a DigitalOcean cluster, with Rancher managing the cluster.

PostgreSQL configured as a StatefulSet for persistent storage.

Python-based AI voice bot was integrated for real-time scam detection.

Monitoring was set up using Prometheus, Grafana, and Loki.

Odoo CRM was deployed in containers.

Solution Illustration

To improve AWS security, the solution focused on network security, access management, pipeline security, monitoring, and data encryption.

Core tech stack we work with

Leveraging the Leading Programming Languages and Frameworks to Deliver Reliable, Scalable Solutions.

Docker
GitLab
React
Google Cloud
AI Tools

Outcomes & Success Metrics

Significant reduction in scam calls, improved uptime, enhanced scalability, and efficient AI integration.

Release Cycles

50% faster release cycles due to CI/CD automation

Issue Resolution

40% faster issue resolution with monitoring tools

Security

Improved security and high availability

Cost Efficiency

Cost-efficiency and scalability aligned with future business growth

Lessons Learned
Key lessons included the importance of cluster planning for high availability, fine-tuning resource allocation to optimize costs, and thorough testing for seamless AI integration. Monitoring tools and GitOps for configuration management were essential for stability and efficiency. The project demonstrated that Kubernetes offers scalability and automation, but careful planning, testing, and monitoring are critical for success.