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Distributed Notification System

Backend Developer (Team - 5 developers)
Nov 2025 (4-day deadline)

Enterprise-grade email microservice handling transactional notifications with high delivery success rate

Distributed Notification System Preview

Project Overview

A distributed notification system for enterprise applications, composed of multiple microservices (API gateway, user service, email service, template rendering, and push notifications). I worked as part of a 5-person backend team and was responsible for designing and implementing the email notification microservice, handling high-volume transactional emails with delivery guarantees and comprehensive monitoring. The overall system was designed to be horizontally scalable and fault-tolerant.

The Challenge

Problem Statement

Applications need reliable email notifications for user communications, but building a robust system requires handling retries, failures, monitoring, and scaling—all while maintaining deliverability rates.

My Role & Contributions

Backend developer on a 5-person team, contributing to architecture and core service implementation

Responsibilities

Designed message queue architecture with RabbitMQ
Implemented email template rendering system
Built idempotency layer with Redis to prevent duplicate sends
Created circuit breaker pattern for fault tolerance
Added comprehensive logging and monitoring

Technical Decisions

Chose RabbitMQ for message queuing due to delivery guarantees
Used Redis for idempotency checking and rate limiting
Implemented circuit breaker pattern to prevent cascading failures
Designed for horizontal scaling from the beginning

Implementation & Approach

Development Approach

1
Step 1

Started with monolith design to understand service boundaries

2
Step 2

Decomposed into microservices based on clear separation of concerns

3
Step 3

Implemented message consumption with error handling and retries

4
Step 4

Added dead-letter queue for failed message recovery

5
Step 5

Built monitoring dashboard for system health and metrics

6
Step 6

Created comprehensive test suite including load testing

Key Features Built

High-throughput email processing
Template-based email rendering
Automatic retry with exponential backoff
Dead-letter queue for message recovery
Real-time delivery metrics and monitoring
Rate limiting and abuse prevention

Outcomes & Results

Key Achievements

Successfully delivered working system within aggressive 4-day deadline
Achieved 99.5%+ simulated delivery success rate
Implemented zero duplicate sends through idempotency
Built system that scales horizontally for increased load

Impact

Delivered a production-ready email microservice that can be integrated into any application requiring reliable transactional notifications, with enterprise-grade reliability features.

Key Learnings

Starting with a monolith can help identify service boundaries
Idempotency is critical for payment and notification systems
Circuit breakers prevent cascading failures in distributed systems
Clear team communication is essential under tight deadlines

Tech Stack

DjangoRabbitMQCeleryRedisDockerPostgreSQLSMTP