Financial Technology · CASE STUDY

Building a Resilient AWS Foundation for a Real-Time Trading Platform

Bullbit.ai

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CHALLENGE

Bullbit.ai is an AI-enabled decentralized trading platform designed around real-time market interaction and on-chain workflows. The project required an AWS infrastructure foundation capable of supporting responsive application workloads while maintaining security, scalability, high availability and operational visibility as the platform evolves.

SOLUTION

TitanBases designed a multi-AZ AWS architecture separating edge delivery, application compute, caching and transactional data services. Amazon Route 53 and CloudFront provide external routing and content delivery, with AWS WAF protecting the application path. Application and backend workloads operate across multiple Availability Zones behind an Application Load Balancer. Amazon ElastiCache for Redis provides low-latency caching, while Amazon RDS for PostgreSQL uses a primary and standby architecture for high availability. Amazon S3, Secrets Manager, KMS and CloudWatch support storage, credential management, encryption and operational monitoring.

Amazon CloudWatch

  • Defined a multi-AZ AWS infrastructure model for scalable real-time application workloads.
  • Designed a high-availability PostgreSQL data layer with synchronized standby capacity across Availability Zones.
  • Established security controls for protected application access, credential management and encrypted data handling.
  • Created an operational foundation covering caching, autoscaling, monitoring and infrastructure resilience.

TECHNOLOGIES

Amazon Route 53 · Amazon CloudFront · AWS WAF · Application Load Balancer · Amazon EC2 · EC2 Auto Scaling · Amazon RDS for PostgreSQL · Amazon ElastiCache for Redis · Amazon S3 · AWS Secrets Manager · AWS KMS · Amazon CloudWatch

Bullbit.ai AWS Infrastructure Case Study | TitanBases