CUSTOMER STORY · REAL-TIME FINANCIAL TECHNOLOGY
Bullbit.ai: Building a resilient AWS foundation for real-time trading.
AWS infrastructure · High availability · Financial technologyAT A GLANCE
The project at a glance.
Bullbit.ai is an AI-enabled decentralized perpetual trading platform designed around real-time market interaction, on-chain transparency and self-custody. The workload needed more than individual cloud services: edge delivery, application compute, caching, transactional data, secrets and monitoring had to work as one system.
TitanBases completed the five-week AWS engagement covering assessment, architecture, deployment, testing, documentation and technical handover. TitanBases confirms that the SOW-defined infrastructure was successfully implemented and is operating in production; availability and modeled-cost figures remain design inputs rather than measured production KPIs.
Production solution delivered
- Implemented external traffic handling with Amazon Route 53, Amazon CloudFront and AWS WAF before load-balanced application processing.
- Deployed frontend and backend Amazon EC2 workloads with Auto Scaling across Availability Zones.
- Connected Amazon ElastiCache for Redis, Multi-AZ RDS for PostgreSQL, Amazon S3 and operational security services.
Evidence boundary
- Delivery and production status are confirmed by TitanBases and grounded in the Bullbit.ai SOW dated March 28, 2025.
- The 99.9% figure is an availability objective, not published measured uptime.
- The approximately USD 4.8K monthly figure is a modeled AWS estimate under stated assumptions, not an invoice or guaranteed operating cost.
ABOUT BULLBIT.AI
A real-time trading experience needs resilient foundations beneath every interaction.
Bullbit.ai combines decentralized perpetual trading, self-custody and on-chain transparency with an experience intended to approach the responsiveness users expect from centralized exchanges.
As the platform evolves from Base L2 execution toward a broader appchain roadmap, its application tier, transactional data, caching and operational controls need clear boundaries that can scale independently.
Trading application
Responsive frontend and backend processing behind managed edge services.
Transactional data
PostgreSQL high availability for consistent application state.
Low-latency cache
Redis supports frequently accessed application data.
Operational controls
Secrets, encryption, monitoring and activity logging are designed into the foundation.
TitanBases designed and implemented the AWS architecture, including assessment, infrastructure setup, testing, documentation and handover. The SOW-defined infrastructure is operating in production; Bullbit.ai retains responsibility for application code, trading logic and third-party licensing.
THE CHALLENGE
Real-time workloads · Resilience · Security · Cost visibility
Market-facing systems cannot let one dependency define the whole platform.
Traffic patterns around trading activity can change quickly. Bullbit.ai needed an application foundation that could distribute traffic, isolate frontend and backend concerns, keep frequently accessed data close to compute and preserve transactional consistency.
The production foundation also needed layered security, monitoring and a cost model that could be reviewed as the workload scales.
The SOW calls for protected data in transit and at rest, scale and performance testing, security controls and an architecture designed around a 99.9% availability objective. These remain criteria unless verified production evidence is supplied.
PRODUCTION ENGINEERING · QUALIFIED TARGETS
Multi-AZ by design, with cost and failure boundaries made visible.
Edge, compute, cache and database responsibilities are separated so the team can test and scale them without treating the application as one indivisible unit.
Architecture, duration and cost are sourced from the project SOW. They are not claims of measured uptime, realized spend or business performance.
THE SOLUTION
Edge · Auto Scaling · Redis · PostgreSQL · Operations
An AWS foundation divided into workload-specific layers.
Amazon Route 53 directs users to Amazon CloudFront, with AWS WAF protecting the external path. An Application Load Balancer distributes requests to Auto Scaling application and backend instances across Availability Zones.
Amazon ElastiCache for Redis provides caching, while RDS for PostgreSQL uses a primary and standby pattern. Amazon S3 stores objects and backups; AWS Secrets Manager, AWS KMS and Amazon CloudWatch support secrets, encryption and operational visibility.
SOLUTION ARCHITECTURE
AWS Architecture · Bullbit.ai SOW
ORIGINAL TECHNICAL DIAGRAM · SOW V1.0 · MARCH 28, 2025
Bullbit.ai production AWS architecture
Route 53, CloudFront and AWS WAF.
Load-balanced EC2 frontend and backend Auto Scaling groups.
Redis cache, Multi-AZ PostgreSQL and object storage.
Secrets, KMS encryption, CloudWatch and backup planning.
DELIVERY SUCCESS · PRODUCTION
The core AWS foundation is implemented and operating.
TitanBases confirms production delivery of the SOW-defined infrastructure. The outputs below describe implemented technical capabilities without inventing trading, availability or cost KPIs.
IMPLEMENTED
Multi-AZ
Application and transactional-data resilience patternPRODUCTION ARCHITECTURE
Layered
Edge, compute, cache, data and operations separatedSECURITY BASELINE
Secure
WAF, IAM, secrets and encryption controls deliveredCOMPLETED
Handover
Assessment, testing, documentation and technical handoverThe SOW does not provide an approved benchmark report for production latency, uptime or cost savings. No such outcome is inferred here.
TECHNOLOGIES
The AWS services behind the Bullbit.ai production foundation.
Services are grouped by their responsibility in the supplied SOW and confirmed implementation scope.
EDGE AND TRAFFIC
APPLICATION
DATA
SECURITY AND OPERATIONS
PRODUCTION · NEXT EVIDENCE
Add measured operating outcomes to the delivered foundation.
The infrastructure is in production. With disclosure approval, future revisions can add current as-built topology, measured load behavior, recovery evidence, availability and actual AWS spend without changing the Golden presentation.
PRODUCTION DELIVERY · CLAIM-SAFERELATED CAPABILITIES
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