Cynergy Bank
BankingEnterprisePreparing core banking for a hybrid cloud, "zero data centre" future
From static, data-centre-centric platforms to a hybrid cloud strategy with elastic capacity and controlled risk.
Engineering Facets
Expertise
Accelerators
Capabilities
Defined hybrid cloud target architecture and migration patterns
Introduced burst capacity for peak processing without overprovisioning
Improved resilience, observability and change safety for core services
Created a roadmap from monolithic workloads to domain-aligned services
“The path to cloud isn't lift-and-shift — it's domain-driven decomposition with reversible deployments and incremental migration patterns.”
Context
The bank's core systems still ran primarily in on-premise data centres. Demand patterns were spiky: peaks at month-end, product launches and regulatory reporting windows. Hardware-based scaling and inflexible change windows were constraining growth and slowing transformation. The bank wanted to move towards a hybrid cloud model: using cloud elasticity for suitable workloads while retaining control and compliance for sensitive functions.
The Challenge
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Build a credible hybrid cloud strategy that regulators, risk and operations could all support
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Avoid "lift and shift" that simply relocates problems to the cloud
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Enable burst computing for certain workloads without compromising data residency and control
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Protect the integrity of core processes during migration
Our Approach
Hybrid target architecture definition
Classified workloads by sensitivity, volatility and integration needs. Identified candidates for cloud-native refactoring vs. controlled encapsulation.
Domain-aligned breakout
Used domain-driven techniques to separate capabilities (e.g. product, pricing, risk, reporting). Created integration facades to allow gradual detachment from the mainframe/core.
Elastic and burst computing patterns
Designed patterns for offloading intensive analytics and reporting workloads to cloud. Emphasis on reversible deployments, so changes could be backed out safely if required.
Operational and observability uplift
Introduced platform-level telemetry across both on-prem and cloud components. Implemented structured change rollout with feature flags and progressive exposure.
Engagement Timeline
Assessment & Classification
2 monthsClassified workloads by sensitivity, volatility and integration needs. Identified cloud-native refactoring candidates vs. controlled encapsulation.
Domain Breakout Architecture
3 monthsUsed domain-driven techniques to separate capabilities and created integration facades for gradual mainframe detachment.
Elastic Patterns & Delivery
3 monthsDesigned and validated burst computing patterns for analytics and reporting workloads with reversible deployment strategies.
Operational Uplift
2 monthsIntroduced platform-level telemetry across on-prem and cloud, with structured change rollout and progressive exposure.
Outcomes
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A hybrid cloud roadmap that both technology and risk stakeholders could support.
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Reduced reliance on "heroic capacity planning" for peaks through elastic processing.
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Lower risk of large cutovers thanks to incremental, domain-driven migration patterns.
Technologies & Patterns
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Client names, detailed architecture diagrams, metrics, and implementation insights are available on request. We're happy to walk you through the engagement.