Success Story

The client is an advertising technology company that relies on connected applications to manage product data and customer-facing services. Its technology environment supports internal operations while enabling the delivery of responsive digital experiences.

Engagement Duration: 15+ years 
Industry: Media & Advertising 

The client’s legacy environment restricted operational efficiency and made it difficult to respond to changing business requirements.

1. The monolithic architecture created redundant capabilities across business units and slowed new feature releases.
2. Outdated and legacy systems were costly to maintain and difficult to connect with newer tools.
3. Manual processes reduced productivity and increased the risk of errors, affecting service quality.
4. Moving large data volumes between different architectures required careful validation to protect accuracy and completeness.
5. Strict timelines and budget limits left little room for downtime or migration delays.

Cybage began by assessing the existing environment and defining a phased transition plan for moving workloads to GCP. The team used sprint-based delivery to maintain steady progress. Legacy and modernized systems ran in parallel before the final cutover, allowing teams to verify performance without interrupting critical operations. Cutover activities were scheduled during off-peak hours, and clear stakeholder communication helped minimize disruption throughout the transition.

Modular and Scalable Environment
Rearchitected the monolithic application into independent, loosely coupled services, so each business capability can be developed, released, and scaled on its own. These services were containerized and deployed on Kubernetes on GCP, which adjusts capacity automatically as demand changes and avoids over-provisioning infrastructure.

Streamlined Business Workflows
Automated repetitive, manual activities slowed day-to-day operations. Legacy RCP functions were also migrated to Feedonomics, which simplified ongoing operations, reduced manual effort, and removed the need to maintain a custom legacy component.

Connected Business Ecosystem
Developed APIs to connect the new applications with Salesforce and other business systems, improving information flow across teams.

Secure and Controlled Transition
The existing data was audited to identify its structure and patterns, then migrated from the legacy systems to GCP in stages. Validation checks and controls were applied at each stage to confirm accuracy and completeness, and privacy requirements were addressed in coordination with compliance teams.

Phased Rollout and Validation
A phased release strategy was planned, and each release was validated before going live. Functionality and performance were tested at every stage. Legacy and modernized systems ran in parallel to reduce transition risk, and downtime was scheduled during off-peak hours to limit user disruption.

The transformed environment improved day-to-day operations and created a more adaptable technology foundation.

• 30% less manual effort, as automation and the move from RCP to Feedonomics simplified daily operations.
• 25% lower operating costs after replacing outdated systems and legacy infrastructure.
• 40% faster releases, as modern systems and APIs helped deliver new features sooner.
• 45% higher application availability, enabled by scalable infrastructure and better monitoring.
• 40% fewer production issues, supported by improved systems, testing, and integrations.
• 40-45% higher developer productivity, as GenAI helped write and fix code and create documentation and test cases faster.