Hybrid Cloud Development for a Core Banking Solution

Introduction

Client is an software provider of Core Banking Solutions in Germany.

Background

Client wanted a engineering partner to accelerate their development pursuits for fast feature time to market and handle custom feature development for implementations without affecting their core team.

Problem Statement
  • Lack of Specialized skills

    • Especially in the area of Cloud Engineering.

  • Scalability

    • In need of an axillary engineering team for their custom feature development.

  • Flexibility

    • Was looking to form a non-core team for providing fast feature time to market

  • Integration

    • Lack of best practices followed in integration with on-prem and cloud environment.

  • Cost Efficiency

    • The bottom line of some of the custom implementations were outside the desired range.

    Solution

    CodeBoard Tech team provided two dedicated teams with access to specialized skills and talent for developing new modules in a cloud hybrid model and develop custom features for implementations. We provided a comprehensive suite of features tailored to meet the unique needs of modern banking operations, enabling seamless customer experiences, robust security measures, and streamlined workflows. The solution catered to on-prem cloud core banking solution, by leveraging the power of cloud computing while keeping the critical banking data and operations within the premises. With our deep understanding of regulatory compliance, data security, and industry best practices for enterprise integrations, we helped our client to optimize their operations, streamline processes, and provide an exceptional customer experience.

    Benefits
    • Accelerated feature time to market
    • Cost effectiveness both in terms of offshoring as well using hybrid cloud development.
    • Engineering Best Practices – provided enterprise-wide integration standards for maintainability, security and compliance.
    • Native Services – used Azure native services for data streaming for advanced analytics pipeline building.
    • Automation – Automation of testing and deployment.
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