The financial picture was equally concerning. Because shared resources couldn’t be tagged or assigned to specific projects, cloud costs accumulated without attribution. Finance and operations teams had no reliable way to trace spending back to the initiatives generating it. Unallocated costs created budget inefficiencies, and the lack of visibility made it nearly impossible to hold teams accountable for their consumption.
The combined effect of these pressures was a DevOps environment that had become a constraint rather than an enabler. Governance had weakened, innovation had slowed, and the organization needed a fundamentally different model if it was going to support accelerating modernization at enterprise scale.
Solution
The core principle was straightforward: instead of forcing all projects to share a single environment, each project would receive its own dedicated, fully automated AWS platform. This gave every team clear ownership over their environment from day one, along with the autonomy to make architecture decisions appropriate to their application’s requirements.
Brillio, selected as the transformation partner based on a proven track record of delivering quantifiable outcomes across multiple prior engagements with the client, introduced a Platform per Project model as the foundation of the new DevOps approach.
The design and rollout process was deliberately collaborative. Joint teams spanning business, architecture, and security stakeholders participated in structured workshops, assessments, and pilot implementations. Platform types, automation workflows, and governance frameworks were defined together before scaling. Pilot implementations validated the design in practice before the model was deployed across the enterprise.
The resulting platform delivered end-to-end automation, multi-region deployment capability, and real-time cost tracking. Single Sign-On authentication simplified access management, while flexible network configurations allowed teams to meet diverse application needs without compromising security isolation. Automated lifecycle management ensured that when a project concluded, its platform was cleanly decommissioned, eliminating residual overhead and unallocated spend. The standardization behind the model meant new environments could be provisioned in minutes rather than weeks, directly improving delivery speed and consistency across the organization’s application modernization services portfolio.