Reference patterns for building reliable API integrations with REST APIs, WebSocket feeds, authentication, retry logic, logging, and customer-facing documentation.
This repository is a public portfolio project based on general software engineering patterns I have used across financial technology, trading platforms, and customer-facing consulting work. It does not contain client code, proprietary trading logic, or confidential information.
The goal of this project is to demonstrate how I approach API integration work from both a technical and customer-success perspective:
- Understanding business requirements
- Designing clean integration boundaries
- Handling authentication and configuration securely
- Building reliable retry and error-handling workflows
- Logging useful diagnostic information
- Documenting setup and troubleshooting steps clearly
- REST API client design
- WebSocket connection lifecycle
- Authentication patterns
- Retry and backoff strategies
- Rate-limit handling
- Error classification
- Logging and observability
- Configuration management
- Customer onboarding documentation
API integrations often fail not because the first request is difficult, but because real-world systems are messy.
Strong integrations need to handle:
- Invalid credentials
- Network interruptions
- Rate limits
- Partial failures
- Schema changes
- Timeout handling
- Poor documentation
- Customer configuration mistakes
This repository shows how I think through those issues before they become production problems.
Application
|
v
Integration Service
|
+--> API Client
| |
| +--> Authentication
| +--> Request Builder
| +--> Response Parser
|
+--> Retry Policy
+--> Error Classifier
+--> Logger
+--> Configuration Provider
Tyler Moore is the founder of Moore Tech, LLC and has spent more than 20 years building trading systems, financial software, and API integrations for retail and institutional clients.
His experience includes software architecture, customer consulting, technical training, trading platform integrations, real-time market data systems, and customer-facing solution delivery.