Moving Regulated Banking Workloads with Confidence
Specialized Engineering Scope & Mission Challenge
A multinational investment bank was mandated by leadership to exit two legacy data centers and migrate core portfolio risk and trade-reporting engines to public cloud. The application landscape comprised 120+ interconnected services with complex data dependencies, tight batch scheduling windows, and strict regulatory controls mandated by the OCC, PRA, and FINRA. Previous uncoordinated lift-and-shift attempts had stalled due to security review rejections, unpredictable cloud egress costs, and unexpected latency spikes.
Granular Competency & Technical Requirement Matrix
Critical Engineering & Integration Complexities
- Strict regulatory compliance forbidding plain-text sensitive data storage and requiring hardware security module (HSM) encryption.
- Deeply coupled database dependencies with circular foreign keys between legacy Oracle instances and distributed systems.
- Tight cutover weekend windows with a non-negotiable rollback trigger if trade book reconciliation exceeds 2 hours.
- Strict network latency boundaries between on-premise exchange matching engines and cloud risk calculations.
Engineered Delivery & Execution Workflow
Dependency & Data Flow Discovery
Mapped port-level communications and database query affinities across all 120 services.
Secure Landing Zone Foundation
Provisioned zero-trust cloud landing zones with immutable Terraform modules and automated security guardrails.
Continuous Database Sync
Established low-latency change data capture (CDC) streaming between on-premise Oracle clusters and cloud databases.
Containerization & Service Mesh
Migrated monolithic application components into hardened, CIS-benchmarked Kubernetes pods managed with Istio.
Full Migration Rehearsals
Executed three consecutive dry-run cutover weekends in staging environments, tuning procedure runbooks.
Automated Evidence Generation
Generated cryptographic compliance artifacts proving SOC2, HIPAA, and financial data encryption standards.
Production Wave Migration
Executed low-risk phased cutovers across six business-unit waves, achieving zero trade-book discrepancies.
Production Toolchains, Protocols & Frameworks
06 | PROJECT TARGETS
Project Targets and Business Impact
Customer Confidentiality Note: Customer identity, proprietary codebases, and commercial program specifics have been anonymized in accordance with non-disclosure agreements.