Scalability Challenges in Legacy Hosting Infrastructure
The client operates a platform focused on recovering abandoned shopping carts and helping eCommerce businesses improve conversion rates through automated customer engagement workflows. As platform usage expanded, the organization faced increasing pressure on its existing infrastructure and operational systems.
Growing data volumes and rising processing demands exposed limitations in the company’s legacy hosting environment.
- Infrastructure scalability limitations: Existing hosting systems struggled to handle increasing workloads and spikes in customer activity reliably.
- Performance bottlenecks during PDF generation: High-volume batch PDF generation workflows caused delays, system slowdowns, and timeout risks during peak operational periods.
- Operational risk during migration: The organization required a migration strategy that minimized disruption and preserved service continuity throughout the transition process.
- Limited resilience and fault tolerance: Legacy architecture reduced the platform’s ability to recover efficiently from workload spikes and operational failures.
A scalable AWS-based architecture was required to modernize infrastructure, improve system resilience, and support continued business growth.
Adopting an Incremental AWS Migration Strategy
The client needed a scalable cloud-native architecture capable of supporting parallel processing, operational resilience, and gradual migration without business disruption was essential.
Our team engaged as a strategic engineering partner to design and implement a phased AWS migration strategy tailored to the client’s operational environment.
1. Conducting a Thorough Analysis of Existing Infrastructure and Data Pipelines
The Addepto team began with a comprehensive audit of the legacy architecture, focusing on infrastructure dependencies, operational bottlenecks, and pipeline performance across core data workflows.
A detailed architectural assessment enabled the team to identify migration priorities while minimizing operational disruption during the modernization process.
2. Implementing an Incremental Migration Strategy for Core Services
To reduce operational risk, the migration was executed incrementally, beginning with the most maintenance-intensive and business-critical services.
A phased migration approach enabled the organization to modernize workloads progressively while maintaining platform stability and service continuity throughout the transition.
3. Refactoring Legacy Code for Cloud Readiness
Rather than relying on a basic lift-and-shift approach, the migration required substantial code refactoring and, in some cases, complete service rewrites to ensure compatibility and efficiency within AWS environments.
Cloud-optimized application logic improved scalability, operational performance, and long-term maintainability across the platform.
4. Modernizing the Platform with Microservices and Parallel Processing
The legacy architecture was restructured into a microservices-based environment capable of processing workloads in parallel, including large-scale PDF generation operations.
Parallel processing workflows significantly improved processing speed while enabling greater scalability and resilience during periods of high operational demand.
“Our newly developed system enables all the microservices required for PDF generation to operate in parallel, dramatically reducing the time needed to generate large batches of PDFs while improving scalability and resilience.”
Piotr Danielczyk
Senior Data Engineer – Addepto
Modernizing eCommerce Infrastructure Through AWS Migration
The partnership between Addepto and the client transformed a constrained legacy hosting environment into a scalable and resilient AWS-based cloud platform. By adopting a “pay as you go” cloud model, the organization significantly reduced infrastructure costs while eliminating the limitations of fixed local server environments.
Beyond cost optimization, the migration also modernized data operations through increased automation and improved system resilience. Automated workflows reduced manual intervention, minimized logical errors, and simplified rerun processes, enabling more stable and reliable data processing across the platform.
Before
- Fixed-cost local server infrastructure
- Manual and fragmented data workflows
- Higher risk of faults and logical processing errors
- Limited scalability and operational reliability
After
- “Pay as you go” AWS cloud infrastructure with significant cost savings
- Automated and streamlined data processing workflows
- Increased fault tolerance and simplified rerun capabilities
- Improved reliability and efficiency across data management operations
By modernizing both infrastructure and operational workflows, the organization established a more scalable, resilient, and future-ready platform capable of supporting continued business growth.
As part of KMS Technology, Addepto continues to help organizations modernize legacy systems through cloud-native architectures, scalable AWS migration strategies, and automation-first engineering solutions.
Ready to modernize your infrastructure with AWS? Contact us today!