Building a Secure, Resilient AWS Cloud Foundation for a Growing Financial Services Business
How iTANZ can help financial-services organisations move selected workloads to AWS with governance, security, resilience and cost visibility built in from the start.
The Problem
The organisation did not simply need infrastructure in the cloud. It needed a governed cloud operating model.
- Capacity planning depended on purchasing infrastructure ahead of demand.
- Customer-facing applications were vulnerable to traffic spikes and infrastructure bottlenecks.
- Disaster-recovery processes relied heavily on manual intervention.
- Development, test and production environments were not consistently governed.
- Security controls differed across workloads and teams, while monitoring remained fragmented.
- Legacy databases and tightly coupled applications made cloud migration risky.
- Management wanted greater visibility of cloud cost before scaling adoption.
The Solution
iTANZ designed a phased AWS transformation that separated cloud foundation, migration and application modernization rather than attempting a high-risk big-bang move.
- Established a governed AWS landing zone with multi-account architecture, identity controls, network segmentation, logging, backup policies and tagging standards.
- Connected AWS securely to the existing data centre so dependent workloads could move in controlled stages.
- Assessed applications and databases by business criticality, dependency, complexity and cloud suitability before migration waves began.
- Used runbooks, replication, cutover testing, rollback planning, data validation and performance validation before production transition.
- Redesigned customer-facing applications around Multi-Availability-Zone deployment, load balancing and Auto Scaling.
- Embedded least-privilege access, threat detection, encryption, monitoring, backup and web-application protection into the target architecture.
- Introduced observability and cloud-cost governance so workloads could be reviewed for utilisation, sizing and lifecycle optimisation after migration.
Amazon Web Services, AWS Organizations, AWS Control Tower, Amazon VPC, AWS Identity and Access Management, Amazon EC2, Elastic Load Balancing, Amazon EC2 Auto Scaling, Amazon RDS / Amazon Aurora, Amazon S3, AWS Database Migration Service, Amazon CloudWatch, AWS CloudTrail, AWS Security Hub, Amazon GuardDuty, AWS Backup, AWS WAF, Amazon CloudFront, AWS Cost Explorer, AWS Budgets
Impact We Created
Created a cloud foundation capable of supporting continued digital growth.
Improved separation and control across production, non-production, security and shared-service environments.
Reduced dependence on individual infrastructure components and improved readiness for traffic spikes and recovery events.
Enabled new environments to be provisioned through more structured cloud controls.
Consolidated monitoring, logging and threat visibility across cloud workloads.
Gave management clearer visibility into infrastructure utilisation and cloud expenditure.
The Conclusion
Successful cloud transformation is not measured by how many servers move to AWS. It is measured by whether the organisation becomes more resilient, more governable and easier to scale after the migration than it was before it.
Source basis: iTANZ AWS illustrative financial-services case-study content. Publishing note: this is an illustrative solution scenario and should not be presented as a verified customer success story until supported by an approved customer reference.
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