Your Brokerage runs on infastructure. Make it Count

Who Is This eBook For?
This eBook is designed for:
- FX & CFD brokerage owners
- Brokerage startup founders
- CTOs and technical decision-makers
- Product managers in fintech
- Operations teams evaluating brokerage infrastructure
- Firms looking to scale beyond legacy or fragmented systems
Whether you are building a brokerage from the ground up or modernizing an existing operation, this guide provides a technical overview of the systems required to support institutional-grade brokerage environments.
What You’ll Learn Inside
Frontend Architecture
Learn how modern frontend technologies like React 19, TypeScript, and TanStack Query are used to create responsive, low-latency brokerage interfaces capable of handling live trading environments and dense operational workflows.
Backend Infrastructure
Explore how polyglot microservice architecture enables different backend services to operate according to their workload requirements — balancing flexibility, concurrency, and execution performance using technologies like NestJS and Golang.
APIs & Internal Communication
Understand the role of REST APIs, gRPC, and Redis Pub/Sub in supporting both external integrations and efficient internal service communication across continuously active brokerage systems.
Database & Data Integrity
Discover how transactional integrity and low-latency access are separated using PostgreSQL and Redis to ensure financial-grade reliability while maintaining real-time responsiveness.
Financial Connectivity Layer
See how brokerage infrastructure handles exchange connectivity, liquidity provider communication, and real-time market updates through FIX Protocol and WebSocket architecture.
Infrastructure & DevOps
Learn how Kubernetes, AWS, GitLab CI, and observability tooling are used to orchestrate scalable deployments, automated releases, monitoring, and operational resilience under production conditions.
Operational Stability & Monitoring
Explore how end-to-end tracing and observability reduce downtime, improve issue diagnosis, and strengthen operational response during live trading conditions.
