Proven Track Record
Customer Satisfaction
Proven Track Record
Customer Satisfaction
Hours delivered back to the business
SOX compliance in Settlement process automation
Success rate of bot case completion
For functional release of OBT, RTS and OGS
The Challenge
Key challenges:
- Scalability: Struggled to build a scalable infrastructure to handle increasing data volumes.
- Performance Efficiency: Their existing system lacked optimization which led to slow response times and delayed analytics.
- User Interface: Needed expertise to create an intuitive, responsive interface for healthcare professionals.
- Data Security: Required robust security measures to protect sensitive patient data.
- Cost Optimization: Needed to reduce operational costs while maintaining performance and scalability.
Our Impactful Actions
Roxiler provided comprehensive IT services to address these challenges. We focused on creating a scalable, maintainable, secure, efficient, and user-friendly platform.
The key components of our solution included:
-
Scalability with AWS
We leveraged Amazon Web Services (AWS) and specifically implemented AWS Batch to achieve scalability for data processing. This allowed the platform to scale automatically based on workload demands. It ensured consistent performance even as data volumes increased.
-
Server-Side Ecosystem Engineering
Roxiler developed a robust backend to increase the capacity of handling the extensive requests and data processing tasks by utilizing Node.js. This ensured that the platform could manage large requests and data processing effectively.
-
Interactive User Interface Development
We built a dynamic, responsive, and intuitive user interface by leveraging React.JS technology. This made it easier for neurologists and other healthcare professionals to interact with the platform and view the MRI analysis with access to critical patient data.
-
Data Security Enhancement
- Implemented a comprehensive security strategy that includes firewalls and Virtual Private Servers (VPSs).
- Hardened the servers to prevent unauthorized access.
- Encrypted data within the database to protect sensitive information.
- Established secure storage solutions for data storage, ensuring all data is protected against breaches.
-
Cost Optimization
- Implemented AWS Batch to handle varying workloads efficiently.
- Utilized auto-scaling with low-size servers to manage fluctuating loads without over-provisioning.
- Purchased reserved instances based on consistent load patterns to reduce costs significantly.
Benefits Achieved by Customer
- Improved Scalability:The AWS-based system scaled effortlessly to accommodate growing data volumes and demand.
- 50% Reduction in Processing Time:The enhanced infrastructure halved the time required to process MRI data to provide quicker diagnostic reports.
- Enhanced Usability:The new user interface made it easier for healthcare professionals to navigate the platform and access essential data.
- Data Security:Strengthened data protection through firewalls, VPSs, server hardening, data encryption, and secure data storage.
- Cost Optimization:Reduced operational costs through AWS Batch, auto scaling, and reserved instances which allowed the client to allocate resources more efficiently and cost-effectively.
- Improved Scalability:The AWS-based system scaled effortlessly to accommodate growing data volumes and demand.
- 50% Reduction in Processing Time:The enhanced infrastructure halved the time required to process MRI data to provide quicker diagnostic reports.
- Enhanced Usability:The new user interface made it easier for healthcare professionals to navigate the platform and access essential data.
- Data Security:Strengthened data protection through firewalls, VPSs, server hardening, data encryption, and secure data storage.
- Cost Optimization:Reduced operational costs through AWS Batch, auto scaling, and reserved instances which allowed the client to allocate resources more efficiently and cost-effectively.