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📌 AlphaPoint – Cryptocurrency Trading Platform Architecture

AlphaPoint Architecture

Overview

Designed and implemented an AWS-based architecture for a high-performance cryptocurrency trading platform at AlphaPoint, a B2B whitelabel crypto exchange provider. The system ensures scalability, security, and low-latency trading while integrating custom client requirements such as third-party banking, compliance, and encryption policies.

🔍 Architecture Component Breakdown

🔁 NLB (Network Load Balancer)

Enables ultra-low latency routing to EC2-based trading engines, essential for high-frequency transactions. Preferred over ALB for raw speed and protocol-level control, ensuring optimal performance under load.

📊 DynamoDB

A high-performance NoSQL database for capturing real-time trade activity and user session data. Offers seamless scaling and low-latency access, critical for trading reliability during volatile market conditions.

⚡ ElastiCache (Redis)

Reduces database overhead by caching live crypto price feeds and order book snapshots. Ensures millisecond-level data delivery for responsive client dashboards and trading algorithms.

🟢 Lambda + SQS

Combines serverless compute with queue-based decoupling to process orders reliably, even under peak volume. Enhances fault tolerance while eliminating infrastructure overhead during PoC and scaling phases.

🔐 AWS Cognito

Manages secure user sign-in, KYC workflows, and federated identity integration for clients. Speeds up onboarding while enforcing authentication standards across different regulatory environments.

🛡️ AWS KMS

Ensures encryption of all sensitive trade and user data across APIs, storage, and databases. Key rotation and auditing support compliance for financial regulations like AML and GDPR.

🌐 API Gateway

Serves as the entry point for client apps, wallet integrations, and banking APIs. Provides throttling, versioning, and access control to maintain availability during trading spikes.

📦 S3 + Glacier

Stores trade logs, user data snapshots, and compliance artifacts. Lifecycle rules transition older data to Glacier for long-term archival, supporting audit readiness while reducing storage costs.

📈 CloudWatch + X-Ray

Enables visibility into order execution flows and system latency. Used for real-time monitoring, anomaly detection, and ensuring consistent performance across critical workloads.

📨 SNS

Delivers real-time trade confirmations and platform alerts to end users and client systems. Supports both customer-facing messaging and internal automation triggers.

🛡️ AWS WAF

WAF protects APIs from malicious traffic, rate limits abuse, and stops common attack vectors (e.g., SQL injection, cross-site scripting). Positioned before API Gateway, it acts as a front-line filter, offloading security logic from app code.

🪝 Amazon EventBridge

EventBridge connects app activity with downstream triggers like compliance checks, fraud alerts, or analytics updates — reducing manual intervention. It enables rule-based automation that adapts to system events in real time.

🚀 Key Features

🌟 Final Thoughts

This scalable, secure, and high-speed trading architecture supports customizable B2B crypto exchanges, adapting to various client needs while maintaining regulatory compliance and real-time performance.

This architecture balances performance, security, and scalability, ensuring institutions can launch robust crypto exchanges with minimal operational overhead. 🚀🔥