Cloud Migration & DevOps Transformation
Table of contents
Business Objective
Standard Chartered sought to modernize its mission-critical Electronic Data Interchange (EDI) Trade system by migrating from legacy mainframe infrastructure to a cloud-native environment. The goal was to implement a high-velocity DevOps model that enables rapid software delivery while ensuring the rigorous reliability and regulatory traceability required for global trade finance.
The Solution
OLSYS engineered a microservices-based platform to replace legacy monoliths, transitioning the bank from manual deployments to a standardized “Infrastructure-as-Code” (IaC) model.
Key elements:
- Kubernetes-Based Microservices: A resilient platform that enables rapid, independent service releases and improved system fault tolerance.
- Event-Sourced Architecture: Provides native, immutable audit trails—essential for regulatory traceability in trade finance.
- Seamless Legacy Integration: Connects modern cloud services with existing core systems via high-performance REST APIs and Kafka.
- Standardized Frameworks: Established reusable development patterns that significantly increased build velocity across global teams.
- End-to-End CI/CD Automation: Utilized Terraform and Ansible to eliminate manual configuration errors and ensure environment consistency.
The Impact
The migration modernized the EDI Trade platform while advancing the bank’s internal DevOps maturity.
This transformation has significantly increased release frequency and system uptime, providing Standard Chartered with the engineering agility to respond rapidly to evolving market demands.
Results:
- Standardized delivery practices – Consistent DevOps frameworks accelerating development velocity across teams
- Automated deployment cycles – CI/CD pipelines enabling faster releases with reduced errors
- Improved system reliability – Event-driven architecture ensuring business continuity and resilience
- Enhanced compliance readiness – Full traceability reducing audit preparation time and regulatory risk
Technology Stack
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