Scalable & Reliable AWS-Powered API Service

Scalable & Reliable AWS-Powered API Service

This project is a highly scalable, event-driven API service built with AWS services, designed to ensure high availability, fault tolerance, and automatic scaling based on demand. The system is powered by FastAPI and utilizes an auto-scaling worker architecture with AWS Fargate. It is optimized for processing large-scale workloads efficiently, leveraging a combination of AWS managed services.

FastAPI-based API receives and processes incoming requests.

AWS Application Load Balancer (ALB) ensures traffic distribution and redundancy.

The API interacts with DynamoDB and PostgreSQL for data storage.

Amazon DynamoDB for high-speed key-value lookups.

PostgreSQL (Amazon RDS) for relational database storage.

Amazon S3 for storing files, logs, and other assets.

Amazon SQS (Simple Queue Service) decouples processing tasks.

API submits jobs to SQS queues, enabling event-driven processing.

Worker service running on AWS Fargate picks up jobs and processes them dynamically.

Auto-scaling mechanism: The worker automatically scales up or down based on the queue size.

Amazon ECR (Elastic Container Registry) stores Docker container images.

Amazon ECS (Elastic Container Service) with Fargate manages the execution of API and worker services without needing to manage servers.

CI/CD pipeline can be integrated with AWS CodePipeline/GitHub Actions for seamless deployments.

✅ Highly Scalable: Auto-scaling worker pool adapts to workload demand. ✅ Cost-Efficient: Pay only for used compute power (Fargate eliminates idle resources). ✅ Resilient & Fault-Tolerant: AWS-managed services handle failures automatically. ✅ Seamless Deployment: Fully containerized solution deployable with minimal downtime. ✅ Security & Compliance: Utilizes IAM policies, VPC security groups, and AWS best practices.

Backend: FastAPI (Python)

Data Storage: DynamoDB, PostgreSQL (Amazon RDS), S3

Message Queue: Amazon SQS

Worker Processing: Python worker on AWS Fargate

Deployment: AWS ECS, ECR, and Fargate

CI/CD: AWS CodePipeline / GitHub Actions

Monitoring & Logging: AWS CloudWatch

AWS (S3, DynamoDB, RDS/PostgreSQL, SQS, ECS, Fargate, Lambda)

FastAPI & Python Backend Development

Serverless & Event-Driven Architecture

Scalable API Design

Cloud-Native Application Development

Asynchronous Task Processing

Docker & Container Orchestration

CI/CD for Cloud Deployment

High-performance API with AWS backend

Event-driven processing with auto-scaling workers

Optimized database (DynamoDB/PostgreSQL)

Containerized deployment (ECR/ECS)

Queue-based workload scaling (SQS)

Secure, cost-efficient, and reliable cloud architecture

If you need an AWS expert to design, optimize, or deploy a similar scalable API architecture, feel free to reach out!