CI/CD and Infrastructure Deployment Optimization for IDEMIA

IDEMIA needed a dynamic and reliable process for deploying infrastructure changes that could respond to growing project and customer requirements.

The key challenge was to enable frequent, fast, and secure environment updates while reducing errors caused by manually duplicating configuration.

The process also had to support infrastructure scalability, environment consistency, and better team collaboration through test automation and CI/CD pipeline optimization.

Edge One Solutions supported IDEMIA by providing IT specialists responsible for improving the process of deploying infrastructure changes.

The scope of support included changing the code workflow from Gitflow to Trunk-based development, optimizing CI/CD pipelines, and implementing automated tests before and after deployment.

The team also supported environment configuration standardization through shared, parameterized Terraform code, replacing an approach based on manually copying configuration between environments.

The first step was moving from Gitflow to Trunk-based development, which made it easier to work with smaller, more frequent, and easier-to-deploy changes.

Next, environment configuration was standardized. Instead of a copy-paste model, shared Terraform code with parameterization was introduced, allowing dev, preprod, and prod environments to use the same codebase while differing only in parameter sets.

CI/CD pipeline optimization, automated tests before and after deployment, and merge strategy restrictions helped increase deployment frequency from once a month to several times a week.

In complex technology environments, the speed of infrastructure deployments depends not only on tools, but also on the code workflow, testing strategy, and configuration control.

The IDEMIA project shows that moving to Trunk-based development, parameterizing Terraform, and automating CI/CD pipelines can significantly improve deployment predictability and frequency.

For organizations managing multiple environments, a similar approach can reduce configuration error risk, shorten delivery time, and make Infrastructure as Code processes easier to scale.