Blockchain
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DeFi Trading Platform

A decentralized finance platform for trading cryptocurrencies with advanced analytics, yield farming, and cross-chain liquidity aggregation.

Blockchain
Smart Contracts
React
Solidity
Web3.js
DeFi
Ethereum
ClientFinTech Innovations Ltd.
Year2022

Overview

The DeFi Trading Platform is a comprehensive decentralized finance solution that enables users to trade cryptocurrencies, provide liquidity, and earn yields through various DeFi protocols. The platform aggregates liquidity from multiple DEXs to provide optimal trade execution.

Key Capabilities

  • Multi-DEX Aggregation: Routes trades through multiple decentralized exchanges for best prices
  • Yield Farming: Automated yield optimization across lending protocols
  • Portfolio Analytics: Real-time tracking and performance metrics
  • Gas Optimization: Smart batching and timing for transaction cost reduction

The Challenge

The client came to us with a platform that was struggling under increased load:

  • Performance Degradation: Response times increasing from 200ms to 3+ seconds during peak hours
  • Smart Contract Costs: Gas fees eating into user profits due to inefficient contract design
  • Scalability Concerns: Architecture not designed for the 10x growth they were experiencing
  • Team Recommendation: Internal team proposed a complete rewrite, estimated at 8 months

The real question wasn't "should we rewrite?" but "what's actually causing the problems?"

System Architecture

The platform follows a hybrid architecture combining off-chain computation with on-chain settlement:

graph TB
    subgraph "Client Layer"
        A[React Frontend]
        B[Web3 Provider]
    end
    
    subgraph "API Layer"
        C[API Gateway]
        D[Auth Service]
        E[Rate Limiter]
    end
    
    subgraph "Core Services"
        F[Trade Engine]
        G[Price Aggregator]
        H[Portfolio Service]
        I[Analytics Engine]
    end
    
    subgraph "Data Layer"
        J[(PostgreSQL)]
        K[(Redis Cache)]
        L[(TimescaleDB)]
    end
    
    subgraph "Blockchain Layer"
        M[Smart Contracts]
        N[Event Listener]
        O[Transaction Queue]
    end
    
    subgraph "External"
        P[Uniswap]
        Q[SushiSwap]
        R[Curve]
        S[Price Oracles]
    end
    
    A --> B
    B --> C
    C --> D
    C --> E
    E --> F
    E --> G
    E --> H
    E --> I
    
    F --> J
    F --> K
    G --> K
    H --> J
    I --> L
    
    F --> O
    O --> M
    N --> M
    N --> F
    
    G --> P
    G --> Q
    G --> R
    G --> S
    
    style A fill:#06b6d4,stroke:#0891b2,color:#fff
    style M fill:#8b5cf6,stroke:#7c3aed,color:#fff
    style F fill:#10b981,stroke:#059669,color:#fff

Architecture Decisions

  1. Off-Chain Price Aggregation: Prices are aggregated off-chain to avoid expensive on-chain computations
  2. Event-Driven Updates: Smart contract events trigger real-time UI updates
  3. Tiered Caching: Redis for hot data, PostgreSQL for persistence, TimescaleDB for analytics

Trade Execution Flow

The trade execution involves multiple steps to ensure best price and minimal slippage:

sequenceDiagram
    autonumber
    participant U as User
    participant F as Frontend
    participant A as API Gateway
    participant T as Trade Engine
    participant P as Price Aggregator
    participant Q as Tx Queue
    participant S as Smart Contract
    participant B as Blockchain
    
    U->>F: Initiate Swap (ETH → USDC)
    F->>A: Request Quote
    A->>P: Get Best Route
    
    par Price Discovery
        P->>P: Query Uniswap
        P->>P: Query SushiSwap
        P->>P: Query Curve
    end
    
    P-->>A: Optimal Route + Quote
    A-->>F: Display Quote (expires: 30s)
    F-->>U: Show Quote + Gas Estimate
    
    U->>F: Confirm Trade
    F->>A: Execute Trade Request
    A->>T: Validate & Process
    T->>T: Check Slippage Tolerance
    T->>Q: Queue Transaction
    
    Q->>S: Submit to Contract
    S->>B: Execute Swap
    
    alt Success
        B-->>S: Transaction Confirmed
        S-->>Q: Emit SwapExecuted Event
        Q-->>T: Update Trade Status
        T-->>A: Trade Complete
        A-->>F: Success Response
        F-->>U: Show Confirmation
    else Failure (Slippage/Revert)
        B-->>S: Transaction Failed
        S-->>Q: Emit SwapFailed Event
        Q-->>T: Handle Failure
        T-->>A: Trade Failed
        A-->>F: Error Response
        F-->>U: Show Error + Retry Option
    end

Smart Contract Architecture

The smart contracts follow a modular, upgradeable pattern:

graph LR
    subgraph "Proxy Layer"
        A[TransparentProxy]
    end
    
    subgraph "Core Contracts"
        B[SwapRouter]
        C[LiquidityManager]
        D[YieldOptimizer]
    end
    
    subgraph "Adapters"
        E[UniswapAdapter]
        F[SushiAdapter]
        G[CurveAdapter]
    end
    
    subgraph "Security"
        H[AccessControl]
        I[Pausable]
        J[ReentrancyGuard]
    end
    
    subgraph "External Protocols"
        K[Uniswap V3]
        L[SushiSwap]
        M[Curve Finance]
    end
    
    A --> B
    A --> C
    A --> D
    
    B --> E
    B --> F
    B --> G
    
    E --> K
    F --> L
    G --> M
    
    B --> H
    B --> I
    B --> J
    C --> H
    D --> H
    
    style A fill:#f59e0b,stroke:#d97706,color:#000
    style B fill:#8b5cf6,stroke:#7c3aed,color:#fff
    style H fill:#ef4444,stroke:#dc2626,color:#fff

DevOps Pipeline

Continuous deployment with comprehensive testing and security checks:

flowchart LR
    subgraph "Development"
        A[Developer Push]
        B[Feature Branch]
    end
    
    subgraph "CI Pipeline"
        C[Lint & Format]
        D[Unit Tests]
        E[Integration Tests]
        F[Contract Tests]
        G[Security Scan]
    end
    
    subgraph "Security"
        H[Slither Analysis]
        I[Mythril Scan]
        J[Gas Optimization]
    end
    
    subgraph "Staging"
        K[Deploy to Testnet]
        L[E2E Tests]
        M[Performance Tests]
    end
    
    subgraph "Production"
        N[Manual Approval]
        O[Mainnet Deploy]
        P[Monitor & Alert]
    end
    
    A --> B
    B --> C
    C --> D
    D --> E
    E --> F
    F --> G
    
    G --> H
    G --> I
    G --> J
    
    H --> K
    I --> K
    J --> K
    
    K --> L
    L --> M
    M --> N
    N --> O
    O --> P
    
    style A fill:#3b82f6,stroke:#2563eb,color:#fff
    style G fill:#f59e0b,stroke:#d97706,color:#000
    style N fill:#ef4444,stroke:#dc2626,color:#fff
    style O fill:#10b981,stroke:#059669,color:#fff

The Solution

After a thorough technical audit, we identified the actual bottlenecks:

What We Found

IssueRoot CauseImpact
Slow API responsesN+1 queries in portfolio service60% of latency
High gas costsRedundant storage operations40% excess gas
Memory pressureUnbounded event cachingOOM during peaks
Price stalenessSynchronous oracle calls2-3s delays

What We Fixed

  1. Query Optimization: Introduced DataLoader pattern, reducing database calls by 85%
  2. Smart Contract Refactor: Consolidated storage operations, cutting gas by 35%
  3. Caching Strategy: Implemented tiered caching with proper TTLs and eviction
  4. Async Price Feeds: Moved to WebSocket-based price streaming

What We Didn't Touch

The core trading logic, user authentication, and frontend were not rewritten. The team's proposed 8-month rewrite would have replaced working code.

Results

The targeted fixes delivered measurable improvements:

  • API Latency: 3.2s → 180ms (94% reduction)
  • Gas Costs: Reduced by 35% per transaction
  • Throughput: 10x increase in trades per second
  • Uptime: Zero downtime during migration

Timeline

  • Week 1-2: Technical audit and root cause analysis
  • Week 3-4: Query optimization and caching implementation
  • Week 5-6: Smart contract refactoring (testnet)
  • Week 7: Staged production rollout
  • Week 8: Monitoring and fine-tuning

Total time: 8 weeks vs. proposed 8 months for complete rewrite.

Technical Stack

LayerTechnology
FrontendReact, TypeScript, Web3.js, TailwindCSS
BackendNode.js, Express, GraphQL
DatabasePostgreSQL, Redis, TimescaleDB
BlockchainSolidity, Hardhat, OpenZeppelin
InfrastructureAWS, Docker, Kubernetes
MonitoringDatadog, PagerDuty, Tenderly

Key Learnings

  1. Audit Before Rewrite: Most "needs rewrite" situations don't
  2. Measure First: Performance issues often have surgical solutions
  3. Incremental Fixes: Smaller changes = lower risk = faster delivery
  4. Keep What Works: Preserving working code reduces regression risk

More Work

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