The Problem
No company context
AI tools write code without knowing your codebase, your specs, your stored procedures, your standards. Generic in, generic out.
Zero audit trail
Nobody knows what changed, by whom, against which spec, at what cost. When something breaks, the log is empty.
Knowledge stays siloed
The senior engineer's head is still the source of truth. The pipeline learns nothing. That person leaves, the knowledge walks out.
Pilot never becomes default
The shiny demo works. Then adoption stalls. The new way of working never replaces the old one.
Why AIDLC?
Faster delivery
Tens of dollars per feature, hours of elapsed time. Not weeks.
Built-in compliance
Every action audited. Every dollar attributed to an issue.
Institutional memory
The pipeline learns. The org's knowledge stops walking out the door.
Faster onboarding
New engineers ramp on a pipeline that already knows the codebase.
A pipeline that improves
Each cycle's retro feeds the next cycle's configuration.
Humans stay in control
Agents propose. Humans approve. Every merge is gated.
Problems
No company context
Zero audit trail
Knowledge stays siloed
Pilot never becomes default
Why AIDLC?
Faster delivery
Built-in compliance
Institutional memory
Faster onboarding
A pipeline that improves
Humans stay in control
OpenTelemetry:
Baked in, not bolted on
Auto-instrumentation of .NET and Java services → ADOT collector sidecars on EKS → AWS X-Ray for distributed tracing → CloudWatch for metrics and logs → custom dashboards and SLO alerting. All traces, metrics, and logs flow through a single OTel pipeline, swap backends without re-instrumenting.
VM → Container replatforming
Move off bare VMs onto EKS with proper orchestration, autoscaling, and workload isolation.
Custom metrics
Business and technical KPIs exported via OTel metrics SDK to CloudWatch and Managed Prometheus.
Structured logging
JSON-structured logs with trace correlation IDs, shipped to CloudWatch Logs Insights.
SLO alerting
Composite alarms and SLO burn-rate alerts wired from day one not as an afterthought.
What changes in your architecture
AWS Landing Zone & multi-account governance
AWS Control Tower
Security baseline
Identity & access
Network architecture
FinOps & cost governance
Compliance as code
Measurable results our clients achieve
60-80%
infrastructure cost reduction vs on-prem VMs
10x
faster deployments via GitOps pipelines
99.9%+
availability through EKS self-healing & multi-AZ
<5 min
MTTR with full OTel trace-to-log correlation
Case Study - NeoPay
Modernizing Payment Infrastructure on AWS
20-30%
Projected reduction through rightsizing
30-40%
Additional through Reserved Instances and Savings Plans
80%
Less manual audit work through automated vulnerability scanning and compliance reporting
99.99%
Infrastructure uptime SLA under 24/7 NOC coverage
Situation
NeoPay is a payment services provider operating in the regulated UAE financial market. Its enterprise systems had to keep pace with business growth and digital transformation.
The existing setup could not carry that growth. Operations were manual. Infrastructure lived in on-premises data centers. Any move to the cloud had to satisfy two regulators at once: the UAE Central Bank on data residency, and PCI DSS on cardholder data.
For a payment provider, downtime and data loss are not technical inconveniences. They are regulatory and commercial risks.
Task
NeoPay engaged kloia to design, deploy and manage a production-grade AWS environment. The target state had four hard requirements:
- Strict compliance. All application data stays inside UAE borders to meet Central Bank requirements, with full PCI DSS adherence.
- High availability and disaster recovery. Zero RPO (Recovery Point Objective) for financial data and an RTO (Recovery Time Objective) of 2-3 minutes.
- Hybrid connectivity. Seamless integration between the new cloud environment and existing data centers over Direct Connect and VPN.
- Operational modernization. A move from manual operations to a managed services model with 24/7 infrastructure monitoring and support.
Action
kloia built the solution on the AWS Well-Architected Framework and delivered it in two phases over 10-13 weeks.
Architecture and Infrastructure
The core design applied a multi-region concept inside a single AWS Middle East region, spread across three Availability Zones for resilience.

Target architecture on AWS
Multi-account strategy. AWS Organizations separated environments and responsibilities:
- Management Account (Root): governance and consolidated billing.
- Network Account: central hub for hybrid connectivity (Direct Connect, VPN) and shared networking (Transit Gateway).
- Workload Accounts (Production/Staging): isolated accounts for application services.
- Security Account: centralized logging, auditing and security services.
Hybrid connectivity.
- AWS Direct Connect: a dedicated private link to NeoPay's on-premises data centers, routed through a Direct Connect Gateway for high-bandwidth, stable transfers.
- Site-to-Site VPN: a redundancy layer behind Direct Connect, keeping the network up if the physical link fails.
Compute and database stacks. The two workloads were separated for performance and manageability:
- Legacy/Core Services: Amazon EC2 on Windows Server with Amazon RDS for SQL Server, deployed Multi-AZ with automatic failover for a 99.95% database uptime SLA.
- Microservices: containerized applications on Amazon Aurora PostgreSQL-Compatible Edition for transactional data, with Amazon ElastiCache Redis for sessions and caching. All components span three AZs.
Load balancing and scalability. Application Load Balancers distribute traffic. Auto Scaling Groups scale compute up for peak payment loads and down during off-peak hours to control cost.
Security and Compliance
Security was the foundation, built around the UAE Central Bank data residency rule and PCI DSS.

Security and compliance controls
- Data residency enforcement: all services, storage (S3, RDS, Aurora) and backups are confined to the AWS Middle East region. Service Control Policies in AWS Organizations block any resource deployment outside it.
- Network segmentation (PCI scope reduction): strict VPC and subnet segregation. PCI-scoped components such as payment card environments sit in their own private subnets, reachable only through layered controls and Bastion Hosts for administrative access.
- Perimeter security: AWS WAF on the ALBs against common web exploits (SQL injection, XSS), with DDoS mitigation through AWS Shield Standard.
- Identity and Access Management: least privilege for all human and machine access. AWS Managed Microsoft AD provides centralized identity.
- Encryption: data encrypted at rest with AWS KMS customer-managed keys and in transit with TLS, meeting PCI DSS Requirement 3 (Protect Stored Cardholder Data).
- Continuous monitoring and audit: AWS CloudTrail logs all API activity to an S3 bucket with Object Lock for tamper-proof audit. Amazon GuardDuty provides continuous threat detection across network activity and account usage.
Managed Services and Operational Excellence
kloia wrapped the platform in a full managed service to move NeoPay to an automated operating model.

Managed services and operations model
- Infrastructure as Code: Terraform defines and provisions every cloud resource. Changes go through a GitOps workflow. The result: faster disaster recovery, consistent environments, simpler change management.
- 24/7 NOC and SLA: a dedicated Network Operations Center monitors and supports the platform 24/7/365 under a contractual 99.99% infrastructure uptime SLA.
- Monitoring and observability: Amazon CloudWatch plus third-party tools for metrics, centralized logging and proactive alerting. Critical alerts reach the NOC through automated runbooks to hold the RTO target.
- Patch management: AWS Systems Manager Patch Manager keeps operating systems current and shortens vulnerability windows in line with compliance policy.
Results
NeoPay now runs its digital payment services on a compliant, highly available AWS foundation.

Business value and results
|
Area |
Outcome |
|---|---|
|
Data safety |
Zero RPO and a 4-5 minute RTO for critical financial data |
|
Regulatory compliance |
Full alignment with UAE Central Bank data residency and PCI DSS |
|
Operational agility |
Automated scaling and Terraform-based IaC for new services without manual work |
|
Compute cost |
Projected 20-30% reduction through rightsizing |
|
Commitment savings |
Additional 30-40% through Reserved Instances and Savings Plans |
|
Audit effort |
80% less manual audit work through automated vulnerability scanning and compliance reporting |
|
Availability |
99.99% infrastructure uptime SLA under 24/7 NOC coverage |
On RTO and RPO: there is no standard figure we can apply across the estate. Both depend on how critical each workload is to the business and on the budget for the recovery design behind it. Once NeoPay agrees the targets for each workload, we can set out the design, cost and test plan needed to meet them.
What This Means for NeoPay
Security and compliance stopped being a cost center. Regulators and customers can trust the platform, which opens the door to new partnerships and wider market reach.
Terraform and the managed services model keep the platform ready for change. A CI/CD pipeline supports faster releases and continuous experimentation. NeoPay can adopt cloud-native services such as advanced analytics or machine learning for fraud detection and personalized customer experiences, and scale transaction volumes as the business grows.
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