Abdur Rahman

Featured Project

Smartpay

Cloud-based payment processing system with automated reconciliation and real-time monitoring.

Problem

Traditional payment systems require manual reconciliation, lack real-time visibility, and struggle with scale during peak loads.

Businesses need a reliable, automated payment processing system that can handle high transaction volumes while maintaining security and compliance.

Architecture

Infrastructure Layer

Built on AWS using serverless architecture. Lambda functions handle payment processing, API Gateway manages endpoints, and DynamoDB stores transaction data with automatic scaling.

Processing Pipeline

Event-driven architecture using SQS for reliable message queuing. SNS notifications for real-time alerts. CloudWatch for monitoring and automated responses to anomalies.

Security & Compliance

IAM roles with least privilege access. Encryption at rest and in transit. CloudTrail for audit logging. Secrets Manager for credential management.

Tech Stack

Cloud & Infrastructure

  • • AWS Lambda (serverless compute)
  • • API Gateway (REST endpoints)
  • • DynamoDB (NoSQL database)
  • • S3 (object storage)
  • • CloudWatch (monitoring)
  • • Terraform (IaC)

Application & Tools

  • • Python (Lambda functions)
  • • Node.js (API layer)
  • • SQS & SNS (messaging)
  • • IAM (access control)
  • • Secrets Manager
  • • GitHub Actions (CI/CD)

What I Built

Payment Processing Engine

Serverless functions for transaction validation, processing, and reconciliation with automatic retry logic and dead letter queues.

Real-time Monitoring Dashboard

CloudWatch dashboards with custom metrics, alarms for transaction failures, and automated incident response workflows.

Infrastructure as Code

Complete Terraform configuration for reproducible deployments across environments with state management and drift detection.

CI/CD Pipeline

GitHub Actions workflows for automated testing, security scanning, and deployment with rollback capabilities.

What I Learned

Serverless Architecture Patterns

How to design event-driven systems that scale automatically. Understanding cold starts, concurrency limits, and cost optimization strategies.

Observability & Debugging

Building comprehensive logging and tracing in distributed systems. Using CloudWatch Insights for debugging production issues.

Security Best Practices

Implementing least privilege access, encryption strategies, and compliance requirements. Managing secrets and credentials securely.

Infrastructure as Code

Writing maintainable Terraform modules, managing state, and handling infrastructure drift. Automated testing for infrastructure changes.

Screenshots

Dashboard View

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Architecture Diagram

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Monitoring View

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API Response

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