Stop Redeploying Everything for One Small Change
We build telecom systems as independent, scalable microservices, or migrate an existing monolithic platform there, so a change to one part of the system does not put the whole thing at risk.
Independent pricing engine. Dynamic bundle updates deploy in <1 hour with zero core recompile.
High-throughput distributed in-memory rating cluster. Autoscales on peak billing days without choking.
Northbound standard gateway exposing SIM Swap, Device Location & QoD to enterprise developers.
The Problem
A lot of telecom software still runs as one large, tightly coupled application. A small fix to the billing logic can mean redeploying the entire platform, with all the testing and risk that comes with it. Scaling becomes all or nothing, instead of adding capacity only where it is actually needed.
What We Do
Microservices Architecture Design
Breaking a system into independently deployable services around real business boundaries, not arbitrary technical splits.
Monolith to Microservices Migration
Moving an existing system over incrementally, without a full rebuild or extended downtime.
Containerization
Packaging services with Docker for consistent deployment across every environment.
Kubernetes Orchestration
Managing deployment, scaling, and recovery of services in production with automated self-healing.
How We Build It
Services are built in Java and Spring Boot, containerized with Docker, and run on Kubernetes, with CI/CD pipelines handling build, test, and deployment automatically.
This is the same architecture approach behind our billing and network API work. It is not a separate offering so much as the foundation everything else is built on.
What You Get
A system where teams can deploy their part independently, scale only what actually needs scaling, and roll back a bad change without taking the whole platform down with it.
Related Case Studies
Monolith to Microservices Migration for a Telecom Software Vendor
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.
Legacy OSS Modernization and Observability Upgrade
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.