One of the client’s largest infrastructure transformation projects
Migrating a few hundred staging, production and development virtual machines as well as development, staging, quality assurance and production environments
40% faster deployment time
Establishing quicker and more stable build and deployment processes and creating CI/CD pipelines that improved release cycles
Reduced operational costs by nearly 30%
Significantly decreasing infrastructure maintenance effort and costs, while cutting operational costs by retiring legacy data center infrastructure and optimizing workloads in Azure
Increased service scalability
Improving the scalability and flexibility of the client's financial services and reducing reliance on on-premises infrastructure
New ML-driven functionalities
Rolling out ML-driven predictive insights to production within the first year of the cloud migration and creating new business opportunities
Enhanced software development
Adopting cloud-native development practices across teams
