Elastic Cloud Migration and Cost Optimization for a Global Fashion Retailer
Client
The client is a global fashion and lifestyle retailer managing multiple high-profile brands. With high seasonal traffic and legacy Microsoft-based systems, they struggled with inefficiency and cost during off-peak months.
Project Context
The client’s on-prem Elasticsearch setup was over-provisioned to handle peak traffic but was financially unsustainable year-round. Their legacy application layer could not be easily modified, so they required a seamless migration path to Elastic Cloud that would work without code changes.
Challenges
- Interfacing with legacy Microsoft systems
- On-prem cluster required 22 nodes for peak loads
- No flexibility to rewrite app integration code
- Needed secure networking between AWS and Elastic Cloud
Solution
- Migrated workloads with full compatibility for existing architecture
- Advised on performance testing and index tuning for cloud scaling
- Configured secure network routing between AWS and Elastic Cloud
- Reduced resource usage via best practices in ILM and cluster sizing
Project Objectives
- Migrate Elasticsearch workloads from on-prem to Elastic Cloud
- Avoid any code changes to the legacy Microsoft-based stack
- Optimize for elastic scaling and cloud-native performance
- Ensure secure connectivity with AWS infrastructure
Solution Delivery
SquareShift executed a zero-code-change migration plan to Elastic Cloud, optimized cluster performance for seasonal scaling, and enabled a secure, cost-effective architecture. The system now runs on a 2-node baseline and scales dynamically during high demand.
Testimonial
SquareShift’s cloud migration playbook gave us cost control without touching our legacy stack.