Optimized and stabilized large-scale telecom order system

Case study

Optimizing a large-scale order system — Bell

Performance improvements, stabilized RabbitMQ/Event Hubs eventing, and CI/CD industrialization to speed up delivery.

The engagement

A delivery record, from context to outcome.

For Bell, we helped improve a high-volume internal order management system. The mandate focused on reducing processing time, de-risking releases, and stabilizing event-driven exchanges while maintaining high availability and smooth adoption for teams.
Optimized and stabilized large-scale telecom order system
Project view / 05Optimized and stabilized large-scale telecom order system

Delivery journal

The decisions behind the outcome.

The engagement is broken into chapters so the reasoning, intervention, and delivered value are straightforward to assess.

01

Chapter

Challenge

Slow processing, post-deployment defects, and complex event-driven integrations made changes risky. SQL and application releases required too much manual effort and lacked repeatability across environments.

02

Chapter

Solution

We optimized backend services and strengthened the delivery pipeline to speed up release cycles and reduce regressions. Focus areas included RabbitMQ/Event Hubs stability, code quality, and CI/CD automation.

03

Chapter

Outcome

Cut processing time (~35%), reduced post-deploy defects (~30%), and stabilized RabbitMQ/Event Hubs exchanges. Releases became more predictable thanks to CI/CD automation and stronger quality practices.

Next step

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