The Challenge

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Scaling and Modernizing with Cloud Excellence

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Neuromind Technologies, a pioneering company in the financial technology space, provides a robust loan management platform for BPI bank, ensuring secure and scalable solutions. As their customer base grew, the limitations of their legacy infrastructure began to impede the speed and security required to stay competitive in the rapidly evolving financial sector. Neuromind recognized the need for a major technological transformation to enhance scalability, security, and operational efficiency.

The company sought a solution that would allow them to seamlessly scale their platform, while also maintaining the high standards of data security and compliance required in the banking sector.

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The Process

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Strategic Transformation with AWS & Cloud Assembly

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Our journey towards modernization was characterized by careful planning and a phased execution strategy, designed to ensure minimal disruption. The AWS Cloud Adoption Framework (CAF) was instrumental in harmonizing stakeholder expectations and crafting a clear roadmap for transitioning to a robust, forward-thinking infrastructure. By leveraging the AWS Cloud Development Kit (CDK), we developed a new infrastructure that was not only compliant, secure and scalable but also cost-efficient, laying a solid foundation for high availability and future growth.

Working with Cloud Assembly, Neuromind embarked on a transformation journey using AWS, with a focus on compliance, scalability, and high performance. The project was built on the AWS Well-Architected Framework, addressing key areas of operational excellence, security, reliability, performance efficiency, and cost optimization.

Key stages included:

• Infrastructure Design: Cloud Assembly designed a scalable, secure AWS infrastructure across multiple accounts / environments and clusters . Leveraging AWS services like VPC, ECS, DocumentDB, and more, the platform’s backbone was fortified for security and scalability.
• Security & Compliance: Adherence to stringent regulatory requirements such as PCI-DSS was prioritized. Security mechanisms like IAM roles, security groups, and multi-layer encryption were applied throughout the infrastructure, with strict compliance monitoring using AWS GuardDuty and Security Hub.
• CI/CD Optimization: A robust CI/CD pipeline, integrated with GitHub Actions and AWS ECS batch deployment, was set up to automate deployment and streamline updates, accelerating time-to-market for new features and functionalities.‍
• Data & Application Security: The application’s architecture was designed with public, private and secure clusters, multi-AZ DocumentDB for resilience, and secure data transfer mechanisms, ensuring that all sensitive loan-related data was securely stored and transmitted.

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The Results

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A Future-Ready, Secure, and Scalable Platform

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The result of this collaboration was a high-performing, secure, and compliant platform with ECS Fargate running multiple Clusters on one AWS Account that not only met the immediate demands of Neuromind Technologies and its client BPI but also positioned the company for future growth. By leveraging AWS's powerful suite of services and Cloud Assembly’s strategic insights, Neuromind was able to achieve:

• High-Availability and Scalability: The Neuromind Project was designed for highly available and elastic infrastructure, capable of handling increased traffic and transaction volumes without compromising performance. ECS services were distributed across multiple Availability Zones, ensuring uninterrupted operations even in the event of an AZ failure. Traffic was routed intelligently to healthy ECS tasks using Application Load Balancer (ALB) health checks, minimizing downtime. Additionally, service configurations automatically restarted failed tasks, maintaining consistent availability.
• Scalability was achieved through well-defined ECS scaling policies that dynamically adjusted the number of running tasks based on CPU and memory utilization as well as application demand, ensuring optimal resource utilization.
• Security & Compliance: All deployments comply with AWS security best practices and the AWS well Architect Architect Framework, including the use of managed services for encryption, logging, and monitoring. ECS/Fargate tasks were deployed within secure VPC environments with restricted Security Groups and NACLs, isolating traffic and mitigating risks. Regular security assessments are conducted to identify and mitigate vulnerabilities. AWS WAF has enhanced the security of public endpoints. AWS Parameter Store with KMS was enabled to store and manage secrets in a safe way.

• Cost Optimization: The Neuromind Project achieved cost-effective scalability by leveraging AWS cost optimization tools and features. ECS/Fargate Spot Instances were used for non-critical workloads, reducing compute costs by up to 70% compared to On-Demand pricing. This allowed the infrastructure to scale efficiently without exceeding budget constraints.
  By optimizing resource utilization through right-sizing and scaling policies, Neuromind ensured that infrastructure costs remained aligned with business needs while maintaining high performance and reliability.
• Faster Deployments: The implementation of a new CI/CD pipeline reduced deployment times by 60%, enabling quicker releases and continuous platform improvements. The pipeline utilized ECS batch deployments, allowing updates to be rolled out incrementally with minimal impact on availability.‍
• Infrastructure as Code: The infrastructure was defined and managed using AWS CDK, with tasks organized into separate stacks to improve modularity and maintainability. This approach allowed for targeted updates and independent deployments, ensuring that changes to one part of the infrastructure did not disrupt others. These practices streamlined the deployment process, minimized risks, and ensured seamless integration of new features.

Key Achievements:

• Infrastructure as Code: The deployment was fully automated, ensuring consistent and rapid updates.
• Compliance & Security: The platform met PCI-DSS compliance standards, significantly enhancing data protection.
• Scalable Architecture: Neuromind’s platform can now easily scale to meet future demands.‍
• Optimized CI/CD: The team is now able to deploy new features 70% faster, with higher reliability and lower risk.
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State of Art Architecture

Their architecture stack was designed to foster innovation and ensure success across all their projects. By integrating leading technologies and processes, we've created a dynamic ecosystem that drives excellence!

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Ready to explore how our solutions can enhance your organization's capabilities? Schedule a call with an AWS Expert today!

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