Our Success Cases
We help e-commerce, logistics, FinTech, SaaS, and data-driven businesses scale, reduce costs, and improve reliability.
E-commerce Platform Migration to AWS
Challenge
A high-traffic e-commerce platform needed to migrate from aging on-premises infrastructure to the cloud to improve scalability, peak performance, and reduce costs.
Solution
We migrated the entire application and database to AWS using EC2, RDS, and S3, implemented auto-scaling for peak events, and optimized spend with reserved instances and AWS Cost Explorer.
Result
- 99.99% uptime during peak shopping events.
- 35% reduction in infrastructure costs.
- 40% improvement in page load speed.
Cloud-Native Application for a Logistics Company
Challenge
A logistics company wanted a cloud-native application to modernize operations, improve real-time tracking, and streamline delivery management.
Solution
We built a microservices-based application on Kubernetes (AWS EKS), integrated real-time streaming with AWS Kinesis and Lambda, and ensured GDPR compliance.
Result
- 20% reduction in delivery delays.
- 25% improvement in operational efficiency.
- Scalable to support a 3× increase in daily deliveries.
FinTech Startup: Scalable Cloud Infrastructure
Challenge
A FinTech startup needed a scalable, secure infrastructure to support rapid user growth and strict compliance for financial transactions.
Solution
We designed a secure AWS infrastructure using VPC, IAM, and AWS Shield, implemented CI/CD for rapid deployments, and leveraged AWS RDS and DynamoDB for high-performance data storage.
Result
- Achieved 100% PCI-DSS compliance.
- Scaled seamlessly to support a 5× increase in users.
- 60% reduction in deployment times via automation.
SaaS Platform Optimization with AWS
Challenge
A SaaS provider struggled with high operational costs, underutilized infrastructure, and inconsistent performance during peak usage.
Solution
We re-architected the platform with serverless (AWS Lambda, API Gateway), migrated databases to AWS Aurora with auto-scaling, and implemented monitoring with AWS CloudWatch.
Result
- 40% reduction in operational costs.
- 50% decrease in latency during peak periods.
- Real-time monitoring for proactive issue resolution.
Big Data Analytics Platform on Google Cloud
Challenge
A media company required a scalable, cost-efficient platform to process and analyze large volumes of streaming data from multiple sources.
Solution
We built a data pipeline with Google Cloud Dataflow and Pub/Sub, used BigQuery for fast analytics, and automated resource management with GKE.
Result
- 70% reduction in data processing time.
- 99.9% reliability for streaming workloads.
- Scaled to process 5 TB of data daily with no performance degradation.