Optimizing a large-scale order system — Bell

The project

Project overview

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.

Project view / 05Optimized and stabilized large-scale telecom order system

The work completed

How the project unfolded

Learn about the project’s context, technical choices and results.

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.

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.

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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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