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Business Overview

The client is a European ecommerce provider selling road-toll products and motorway vignettes through around 30 consumer-facing websites across several European markets. With traffic peaking during holiday travel, the platform needed to scale reliably without compromising availability or performance.

The platform ran on 19 dedicated physical servers with Windows Server workloads and shared MariaDB databases across multiple private European data centers. Fixed capacity limited seasonal scaling, fragmented infrastructure complicated operations, and recurring outages made reliability a board-level priority.

The company turned to NIX to consolidate the infrastructure on AWS, improve resilience, scale automatically, and reduce the carbon footprint of legacy hardware. NIX combined an AWS-funded assessment with end-to-end AWS migration services for ecommerce platforms, covering business case validation, target architecture, and migration delivery.

Challenges

NIX United  needed to migrate a live, revenue-generating e-commerce environment to AWS without transaction loss, while validating the technical and financial feasibility of the transformation upfront.

  • Infrastructure scalability bottleneck: 19 physical servers across multiple data centers lacked centralized management and elastic capacity, with licensing tied to dedicated hardware.
  • Migration complexity at scale: 30+ similar websites had separate domains, databases, dependencies, and cutover windows, making manual migration difficult to replicate.
  • Zero-downtime constraint: The 24/7 PCI-DSS-scoped environment required uninterrupted sessions, orders, and payment data throughout every cutover.
  • Undefined disaster recovery: No documented DR strategy or recovery targets existed, requiring RPO/RTO objectives to be defined and engineered into AWS.
  • Unproven cloud economics: Migration approval required a defensible multi-year TCO model covering infrastructure, licensing, AWS consumption, and operational costs.

Project Scope

NIX United covered the full lifecycle of AWS cloud migration for e-commerce business, from initial assessment and business case validation to production rollout and ongoing cost governance:

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    Assess: Discovery, workload inventory, dependency mapping, and AWS MAP Assess, including Migration Readiness Assessment across business, governance, security, platform, people, and operations.

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    Validate: Build a multi-year TCO model comparing the existing infrastructure with AWS cost scenarios and projected consumption.

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    Architect: Design a Well-Architected target environment optimized for resilience, security, elasticity, and cost efficiency.

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    Prepare: Define and engineer disaster recovery and business continuity with measurable RPO and RTO targets.

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    Migrate: Implement one reference website, validate the migration pattern, then replicate it across the 30+ website ecosystem.

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    Enable: Establish cost governance, documentation, and knowledge transfer to support sustainable AWS operations.

Solution

NIX United combined AI-assisted analysis with expert review at every stage, using automation to accelerate the work while certified AWS experts maintained architectural control, validation, and production readiness.

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Readiness Before Migration

As the client’s first move to AWS, NIX United started with a Migration Readiness Assessment across six pillars: business, people, governance, platform, security, and operations. The assessment confirmed a solid account structure and stakeholder alignment while identifying two areas that required attention before migration: the business case and security posture. NIX built the financial case using AWS Migration Evaluator and worked with the client through a Security Immersion Day and Experience-Based Acceleration workshop to strengthen security readiness for the target AWS environment.

Resilient and Scalable AWS Architecture

NIX United designed a multi-Availability-Zone AWS architecture in an EU Region to provide resilience, elastic scaling, and centralized control across the 30+ website ecommerce ecosystem. A multi-AZ Application Load Balancer routes each domain to its dedicated target group, while applications run in private subnets across two Availability Zones. Each site uses a two-instance Auto Scaling baseline, one per zone, ensuring resilience against an AZ failure. The data tier is isolated in dedicated subnets with no direct internet access. Instead of 30+ separate database environments, NIX consolidated the portfolio into four shared stacks.

Each supporting 8+ sites, using Multi-AZ Amazon RDS for MariaDB and Amazon ElastiCache for Redis. Per-site schema isolation maintained logical separation while reducing infrastructure overhead, with Amazon CloudWatch providing centralized observability. NIX also established the client’s first documented DR targets: a 30-minute RPO and one-hour RTO for the ecommerce application tier using AWS Elastic Disaster Recovery, and a 15-minute RPO with a one-hour RTO for databases through Multi-AZ RDS. These requirements were built into the architecture and cost model from the start.

Built-in Cost Optimization

NIX United built cost efficiency directly into the e-commerce AWS cloud migration, rather than treating it as a post-migration exercise. Compute resources were right-sized, with AWS Graviton-based instances used where workloads allowed, and covered by a three-year EC2 Savings Plan with no upfront payment. Database workloads moved to one-year Reserved Instances, providing savings while keeping flexibility to resize the tier as production usage became clearer.

Storage was standardized on appropriately sized gp3 volumes, while S3 lifecycle policies automatically moved aging data to lower-cost tiers. Most importantly, Auto Scaling replaced fixed infrastructure, eliminating the need to maintain peak-season capacity year-round. This shifted the cost model from paying continuously for unused capacity to consumption-based spending that follows actual e-commerce demand.

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AI-assisted Provisioning and Repeatable Migration Pattern

With 30+ websites to migrate, NIX focused on repeatability and controlled automation. The target environment was built as parameterized Infrastructure as Code (IaC), allowing each website’s configuration to be generated from a validated reference module. AI assistance accelerated the creation of Auto Scaling groups, target groups, listener rules, database schemas, cache namespaces, monitoring, and alarms.

Every AI-generated artifact remained subject to expert oversight, including engineer review, plan inspection, and staged deployment. The first website served as a six-week reference implementation, with AWS Database Migration Service handling data migration. Once validated, the same IaC modules and migration pattern were reused across the portfolio, reducing subsequent cutovers to synchronization, validation, and controlled deployment.

Outcomes

NIX turned a complex, high-stakes migration into a structured and repeatable transformation, combining AWS expertise, automation, cost engineering, and resilience planning. Beyond moving workloads to the cloud, the team helped the client build a scalable foundation for seasonal growth, improve operational control, and establish a stronger long-term cost and recovery model through e-commerce AWS cloud migration.

Note: The programme is currently in delivery, so the cost and utilization figures below are modelled projections from the assessment, not measured post-migration results.

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    60% TCO reduction compared with the existing on-premises infrastructure

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    21% lower monthly compute costs through Savings Plans and Reserved Instances versus on-demand pricing

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    40% increase in resource utilization through right-sized and elastic infrastructure

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    30+ websites consolidated on a single AWS platform, replacing 19 physical servers across multiple data centers

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    4 shared database and cache stacks replacing 8+ separate stacks, while maintaining per-website data isolation

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    99.95% target monthly uptime for database services and 99.91% for application services

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    15-minute database RPO and 1-hour RTO, establishing a formal recovery baseline for the first time

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    6-week reference-website migration establishing a validated and repeatable pattern for the remaining ecosystem

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    Centralized observability and tag-based cost governance across the entire AWS environment

Team:

Team:

4 Experts ( Solution Architect, DevOps Engineers, Project Manager )

Tech Stack:

AWS, Amazon EC2, AWS Graviton, Amazon S3, Application Load Balancer, Amazon VPC, Amazon ElastiCache for Redis, Amazon EFS, Amazon EBS gp3, AWS Backup, AWS Elastic Disaster Recovery, AWS Database Migration Service, Amazon CloudWatch, EC2 Auto Scaling, Infrastructure as Code, Windows Server, Amazon RDS for MariaDB (Multi-AZ), MariaDB, Redis

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