Cloud-Native Product Development
At CQUBE Solutions, we help businesses build and scale modern digital products with a cloud-native approach that maximizes agility, resilience, and performance. Our cloud-native development services are designed to enable rapid innovation, seamless scalability, and cost-effective operations by fully leveraging cloud platforms such as AWS, Azure, and Google Cloud.
We build products using microservices architecture, containerization, serverless computing, and DevOps automation—ensuring faster delivery cycles, reduced downtime, and the flexibility to adapt as your business grows.
Our Cloud-Native Offerings Include
Decompose monolithic applications into independent, scalable microservices for better maintainability and agility.
Use Docker and Kubernetes for portable, consistent deployment across environments.
Build event-driven applications using services like AWS Lambda, Azure Functions, and Google Cloud Functions.
Implement CI/CD pipelines, infrastructure as code, and automated testing for faster and reliable releases.
Re-platform or refactor legacy systems into modern cloud-native applications with minimal disruption.
Integrated cloud security, observability, and compliance with tools like CloudWatch, Prometheus, and Azure Monitor.
Case Study: Cloud-Native Platform for a Logistics Tech Company
Client Overview
A logistics technology start up in Europe aimed to launch a real-time fleet tracking and route optimization platform to serve mid-size delivery and transportation companies. They required a highly scalable, cloud-native solution capable of handling thousands of concurrent data streams from IoT-enabled delivery vehicles.
The Challenge
- Real-time processing of GPS and telematics data from over 10,000 vehicles
- Required high availability and low-latency architecture
- Monolithic MVP built on a traditional hosting environment couldn’t scale
- ·Need to support continuous updates with zero downtime
- Tight deadlines for go-to-market launch
Our Solution
CQUBE Solutions re-architected the product using cloud-native principles, delivering a scalable, real-time logistics platform with advanced analytics capabilities.
Rebuilt the platform into decoupled microservices handling tracking, routing, alerts, and reporting.
Used AWS Kinesis and Lambda for ingesting and processing streaming data from vehicles in real-time.
Deployed services using Kubernetes on AWS EKS, enabling auto-scaling based on load and traffic spikes.
Implemented a serverless engine for real-time alerts and notifications triggered by route deviations, delays, or fuel usage anomalies.
Set up a complete DevOps pipeline using GitHub Actions, Terraform (IaC), and AWS CloudWatch for performance and security monitoring.
Technologies Used
- Cloud Platform: AWS (EKS, Lambda, S3, Kinesis, RDS)
- Frontend: React.js
- Backend: Node.js (Express), Python
- Data Storage: PostgreSQL, DynamoDB
- DevOps: Terraform, GitHub Actions, Prometheus, CloudWatch
- Security: IAM, VPC, Encryption at Rest & Transit
Impact & Results
- 99.99% uptime achieved with self-healing infrastructure
- Scaled to support over 12,000 connected vehicles in real-time
- Latency reduced by 45%, improving user experience for dispatch teams
- Go-to-market achieved 1 month ahead of schedule
- Reduced cloud costs by 30% through efficient resource utilization and serverless components
Cqube Solutions delivered exactly what we needed—an ultra-scalable, reliable cloud-native platform that helps us process real-time logistics data with precision and speed. Their team was fast, flexible, and highly skilled
