Performance Improvement
Azati’s work led to significant improvements in the performance of the trading platform, particularly in handling large volumes of requests.
Technologies used
AWS Cloud
Ruby On Rails
PostgreSql
Redis
WebSocket
Motivation
Azati’s goal was to develop a high-performance cryptocurrency trading platform capable of connecting users with multiple exchanges and middleware, while providing automated trading and AI-powered market insights. The platform had to handle large volumes of requests efficiently and scale globally.
Main challenges
Challenge 01
Lack of Domain Knowledge
Azati’s engineers initially had limited experience with cryptocurrency trading systems. They quickly familiarized themselves with blockchain technologies, crypto exchange APIs, and trading algorithms to ensure accurate and robust system development.
#1
Challenge 02
Crypto Exchange Request Limits
Each exchange imposes strict request limits, which could throttle real-time data collection. Azati developed a Proxy Engine running on AWS that automatically manages virtual machines to bypass these limitations and maintain uninterrupted data flow.
#2
Challenge 03
Ensuring Real-Time Market Accuracy
Providing accurate market data in real-time was critical for AI trading bots. Azati implemented WebSocket connections and caching strategies to ensure consistent, low-latency updates from multiple exchanges.
#3
Our approach
System Audit and Roadmap
The team audited backend algorithms, trading flows, and exchange integration points, then created a comprehensive roadmap for implementing connectors, AI bots, and the proxy infrastructure.
Multi-Exchange Gateway Development
Azati built a centralized data gateway to connect and consolidate market data from Binance, Bitfinex, Liquid, Bittrex, and OKEx, ensuring a unified data feed for the trading middleware.
Proxy Engine Implementation
To overcome exchange request limits, the Proxy Engine was implemented as an AWS microservice that dynamically scales virtual machines, distributing requests efficiently while maintaining real-time performance.
Trading Bot Automation
Azati developed AI-powered trading bots capable of executing strategies automatically. The bots analyze market signals, interact with the trading middleware, and trigger trades while respecting exchange API constraints.
Performance Optimization and Testing
The platform underwent extensive performance tuning, including Redis caching for rapid data retrieval and WebSocket optimization for continuous real-time communication. Load testing ensured stable operation under peak traffic.
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Schedule a callSolution
01
Proxy Engine
A highly scalable microservice that manages AWS virtual machines and proxy servers to distribute API requests across multiple instances. This ensures uninterrupted market data collection despite strict exchange request limits, enabling AI bots to operate reliably in real-time trading conditions.
Key capabilities:
- Automatic scaling of proxy servers
- Distribution of requests across virtual machines
- Ensured uninterrupted market data flow from multiple exchanges
02
Exchange Connectors
A set of integration modules that connect to multiple cryptocurrency exchanges, collect and normalize market data, and forward it to the trading middleware. The connectors ensure high reliability, low latency, and data consistency across platforms.
Key capabilities:
- Real-time multi-exchange data integration
- Reliable API interaction with Binance, Bitfinex, Liquid, Bittrex, and OKEx
- Data normalization and validation for middleware consumption
03
AI-Powered Trading Bots
Algorithmic trading bots that automate trading strategies by analyzing market signals and executing orders across multiple exchanges. Bots are optimized for efficiency, API compliance, and minimizing risk, enabling users to trade 24/7 without manual intervention.
Key capabilities:
- Automated order execution across multiple exchanges
- Strategy implementation with AI-based decision making
- Fail-safes to prevent over-trading and API violations
04
WebSocket API
A persistent connection layer that provides real-time updates for market data, trading bot feedback, and administrative dashboards. Ensures low-latency communication between backend services and frontend interfaces.
Key capabilities:
- Low-latency market updates
- Continuous communication between backend and frontend
- Support for trading bots and dashboard visualization
05
Background Jobs Manager
Handles asynchronous processing tasks including batch market data processing, trade logging, alert notifications, and system maintenance tasks. Ensures high reliability and efficient resource usage even under peak loads.
Key capabilities:
- Efficient task scheduling and execution
- Reliable processing of large datasets
- Automated system maintenance and logging
06
Admin UI
A comprehensive administrative interface for monitoring system health, tracking bot performance, managing exchange connectors, and controlling platform operations. Provides actionable insights and alerts for system administrators.
Key capabilities:
- Real-time monitoring of trading operations
- Management of bots and exchange connectors
- System health and performance visualization
Results & business impact
Scalability and Automation
The creation of a robust proxy engine and trading bot functionality allowed the platform to scale and automate trading operations effectively.
Request Handling Optimization
The team optimized the request handling process, resulting in a 37% improvement in performance per request.
Uptime and Reliability
Ensured 99.97% uptime for the AWS-based proxy engine.
Scalable Solution for Trading
Provided the customer with a powerful, scalable solution for cryptocurrency trading.
