Case Study
A Digital Retail Enterprise Modernizes MongoDB on GCP, Achieving 99.99% Availability and 30% Lower Infrastructure Costs
Download Case StudyIndustry: Digital Retail and eCommerce
Key Technologies/Platforms: Google Cloud Platform (GCP), MongoDB, MongoDB Atlas, Compute Engine VMs, Terraform, GitHub, CI CD, Cloud Monitoring and Logging, Google GCP Backup and Disaster Recovery (DR)
About the Client
A rapidly expanding digital retailer runs its web and mobile storefronts on an API-based backend. Every day, customer actions such as browsing products, viewing recommendations, adding items to cart, and completing purchases depend on stable database performance behind the scenes. Over time, higher traffic volumes started putting visible strain on the existing environment. Scaling was no longer straightforward, and routine maintenance required more coordination than before. To address this, the team chose to move MongoDB to the cloud and redesign parts of the infrastructure to improve stability and day-to-day manageability.
Business Challenge
MongoDB was originally running on on-premise servers, while some workloads were beginning to move into Google Cloud. As both environments had to be managed in parallel, day-to-day operations became more involved, and certain inefficiencies started to surface.
Why was this change needed?
- Scalability constraints: On-premise MongoDB environments required manual scaling and hardware provisioning. This limited responsiveness during peak retail traffic.
- High availability requirements: The APIs supporting browsing, cart activity, and checkout needed to remain consistently available. Even short interruptions created a visible impact on live customer sessions and order processing.
- Complex MongoDB database migration path: The migration was not a single step. MongoDB first moved to Atlas and was later transitioned to self-managed Compute Engine VMs. Each phase had to be executed carefully to avoid production impact or data inconsistencies.
- Operational overhead: Backup management, replication setup, and monitoring were handled manually. This increased administrative effort and risk exposure.
Business Requirements
To address these challenges, the organization required:
- Seamless MongoDB Cloud Migration with minimal downtime
- 99.99% availability for API-dependent systems
- Multi-zone fault tolerance
- Secure VPC architecture and controlled database access The solution
- Infrastructure as Code for consistent provisioning
- Automated backup and disaster recovery
- Ongoing database upgrades, maintenance, and support
- Improved cloud cost optimization
The Solution
Jade Global implemented a phased modernization strategy centered on MongoDB on GCP
Phased migration approach
The MongoDB Database Migration was executed in two stages:
- On-premise MongoDB to MongoDB Atlas.
- MongoDB Atlas to self-managed Compute Engine VM
This approach minimized operational risk while maintaining service continuity.
- High-availability architecture MongoDB ran on Compute Engine VMs. Replica members were split across different GCP zones rather than kept in a single location. If one instance stopped responding, the others continued serving traffic. The goal was simple — avoid a full outage affecting the storefront APIs.
- Infrastructure automation Terraform was used to define the infrastructure. Changes were committed and pushed through GitHub pipelines before being applied. This replaced the earlier approach where environments were adjusted manually.
- Secure cloud networking Access to the database was not openly reachable. Network rules were adjusted through VPC and firewall settings, and IAM roles were reviewed to limit who could connect. The database stayed within private network boundaries rather than being exposed externally.
Key Use Cases Delivered
- High-performance API support Replica members were spread across zones, and indexes were revisited where queries were slowing down. Changes were made based on how the application was actually using the data, especially during heavy traffic periods.
- Multi-zone fault tolerance MongoDB on GCP was deployed across availability zones to eliminate single points of failure and protect revenue-critical workflows.
- Cost-optimized self-managed infrastructure Transitioning from fully managed services to Compute Engine VMs provided greater infrastructure control and contributed to a 30% reduction in overall database infrastructure costs.
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