Confidentiality Notice: This document provides a high-level summary of skills and technologies used in a professional project. In accordance with employer confidentiality policies, proprietary details including implementation specifics, client information, and internal methodologies have been omitted.

Real-Time Notification System

Event-Driven Subscription Alerting Platform

Founder & Technical Lead

Stream Processing Microservices Architecture Docker Swarm Multi-Client Deployment

Project Overview

A production-grade notification system that consumes real-time data streams, evaluates user-defined subscription rules, and delivers alerts via multiple communication channels. The system evolved from initial concept through multiple architectural iterations to a containerized microservices deployment running across multiple client environments.

~11,700 Lines of Python
76 Source Files
Multi-Client Deployment
24/7 Uptime Target
Role: Founded and led development from initial concept through production deployment. Currently serve as repository owner and technical lead, overseeing contributions and architectural direction.

System Architecture

Containerized microservices deployed via Docker Swarm, communicating through a message broker. The architecture emphasizes loose coupling, independent scaling, and fault isolation.

flowchart TB subgraph sources["Data Sources"] S1["Event Stream"] S2["Metrics Stream"] S3["Status Stream"] end subgraph kafka["Message Broker"] K["Apache Kafka"] end subgraph swarm["Docker Swarm Cluster"] subgraph svc1["Trigger Evaluation Service"] TE1["Instance 1"] TE2["Instance N"] end IT["Internal Kafka Pub/Sub"] subgraph svc2["Notification Service"] NS1["Instance 1"] NS2["Instance N"] end subgraph svc3["Static Data Service"] SD["Reference Data"] end end subgraph delivery["Notification Channels"] EMAIL["Email (SMTP)"] SMS["SMS (REST API)"] end subgraph storage["M2M Subscriptions Data Layer"] DB[("PostgreSQL")] end S1 --> K S2 --> K S3 --> K K --> TE1 K --> TE2 TE1 --> IT TE2 --> IT IT --> NS1 IT --> NS2 NS1 --> EMAIL NS1 --> SMS NS2 --> EMAIL NS2 --> SMS SD -.-> TE1 SD -.-> TE2 DB -.-> svc1 DB -.-> svc2

System Capabilities

Stream Processing

Real-time consumption and processing of event data from multiple Kafka topics.

Rule Evaluation

Configurable subscription rules evaluated against incoming data streams.

Multi-Channel Delivery

Notification dispatch via email and SMS with template-based content.

Independent Scaling

Services scale independently based on workload (N:M ratio).

Technology Stack

Backend

Python PostgreSQL Apache Kafka Jinja2

Infrastructure

Docker Docker Compose Docker Swarm Linux

Cloud & CI/CD

AWS EC2 AWS ECR GitHub Actions

Integrations

SMTP Twilio REST APIs

Engineering Scope

The project required addressing challenges across multiple engineering domains:

Deployment & Operations

Containerized Services

Independent containers with separate resource allocation and lifecycle management.

Swarm Orchestration

Service replication, rolling updates, and health monitoring via Docker Swarm.

Automated Pipelines

GitHub Actions workflows for lint, build, push to ECR, and deployment.

Multi-Client Deployment

System deployed across multiple client environments with client-specific configuration.

Project Outcomes

Successfully deployed to production across multiple client environments with ongoing development and maintenance.

Production Deployment Status
Multi-Client Deployments
Swarm Orchestration
Active Development