Real Projects for Real Telecom Operators

The operator's billing platform was a single, monolithic application running on manually managed servers. Adding a new pricing plan required a full regression test cycle and a scheduled release window, often a multi month process. The system also lacked real time charging, which limited the operator's ability to launch flexible prepaid offers to compete in its market.

A convergent billing platform rebuilt as a set of independent microservices, with separate services for rating, charging, invoicing, and reconciliation, each able to be updated and scaled on its own. Real time charging was introduced to support flexible prepaid plans at enterprise volume.

The operator wanted to offer SIM verification and location based services to enterprise partners, but had no standardized way to expose these network capabilities. Every partner integration was a custom, one off project that took engineering time away from other priorities.

A CAMARA aligned network API layer sitting between the operator's core network and OSS systems and its external partners, exposing SIM verification and location services through standardized, documented APIs with authentication and rate limiting built in from day one.

The vendor's OSS platform had grown into a single, tightly coupled application over several years. Every deployment carried real risk, since even minor changes required redeploying the entire system, and scaling meant scaling everything at once, not just the components actually under load.

An incremental migration to a microservices architecture, breaking the monolith apart by business domain, containerizing each service with Docker, and orchestrating deployment with Kubernetes, all done in phases to avoid extended downtime for the vendor's own enterprise customers.

The operations team typically learned about system issues only after they caused visible service degradation. Monitoring existed but was manual. Dashboards were in place, but nobody was watching them at the right moment, and there was no early warning mechanism in the system.

A full observability layer using Prometheus for metrics collection and Grafana for visualization across core operational systems, paired with an AI based anomaly detection layer trained on the operator's actual system behavior, flagging issues before they escalated into outages.

The operator managed pricing plans and bundles through manual configuration and internal spreadsheets, with no self service ordering experience for customers. Every plan change or new offer required manual backend work from the engineering team.

A flexible product catalog engine for managing plans, pricing, and bundles, paired with a digital engagement platform providing a customer facing shopping cart, order management, and self service portal.

The operator's OSS environment was aging, difficult to modify safely, and offered no real visibility into system health. Issues were typically discovered through customer complaints rather than internal monitoring, which put pressure on both engineering and customer support teams.

A combined engagement. We modernized core OSS components onto a cloud native, microservices based architecture, and layered in Prometheus and Grafana observability with automated alerting as part of the same rollout.