Project Goal
Enable secure, scalable, and efficient infrastructure for deploying and managing algorithmic trading bots.
Background
Lumiwealth is a fintech company based in the USA, specializing in algorithmic trading for the stock and crypto markets. Their platform provides trading bots that automatically trade on behalf of users during trading hours. As the number of users and bots increased, Lumiwealth recognized the need for a new system that allowed users to monitor the status of their bots in real time. The system required secure API management, validation of bot statuses, and scalable storage for portfolio data.
Challenge
The project presented several challenges:
- Dockerization: Deploying Dockerized frontend and backend monitoring system on ESC in a secure and efficient manner.
- Network Security: Setting up a secure network infrastructure to protect trading data and bot interactions.
- Seamless Integration: Connecting the Dockerized system with the new system.
- Scalability: Ensuring the solution can handle increasing numbers of bots and users as Lumiwealth grows.
Solution
To meet these challenges, Lumiwealth implemented an advanced cloud infrastructure:
- Kubernetes Deployment for Trading Bots:
- Setup ECR and built multiple ECS cluster to host Dockerized frontend and backend application, ensuring efficient resource utilization and high availability.
- Secure Network Infrastructure:
- Established Virtual Private Cloud (VPC) with subnets and security groups to isolate application's resources and protect sensitive trading data.
- Enabled secure communication through encrypted connections (TLS) and strict IAM roles for resource access.
- Monitoring and Logging:
- Integrated AWS CloudWatch for monitoring bot activity and ECS workloads.
Benefits
- Scalability:
- The ECS infrastructure enables Lumiwealth to scale horizontally, accommodating more bots and users without compromising performance.
- Security:
- The secure network design protects trading data and ensures only authorized bots and users can interact with the system.
- Automation:
- AWS Fargates simplify bot lifecycle management, reducing manual intervention and operational overhead.
- Seamless Integration:
- The system’s integration with the existing serverless architecture ensures continuity and enhances the user experience by providing real-time updates.
- Cost-Efficiency:
- The hybrid approach leverages serverless components for real-time data management and ECS Cluster for scalable bot deployment, optimizing resource utilization and cost.
Outcome
This enhanced infrastructure has enabled Lumiwealth to deploy and manage their algorithmic trading bots more effectively, providing users with a secure, scalable, and seamless experience. By combining Kubernetes for deployment and serverless architecture for real-time data handling, Lumiwealth can now focus on innovation and scaling their platform to meet growing demands. This project underscores the power of combining modern cloud technologies to deliver robust and efficient solutions for fintech challenges.
