This repository contains my hands-on practice with various Distributed System Components, Microservices Architecture, and Service Communication Tools.
Each folder demonstrates a specific concept or tool used in modern backend development — from service discovery and load balancing to messaging and API design.
Jubair Abdulla
This project collection showcases implementations of essential microservices technologies and tools.
Each demo focuses on one area — helping to understand how distributed systems work together efficiently, reliably, and at scale.
Basic REST API service built using FastAPI, implementing CRUD operations and modular structure.
Focus: REST fundamentals, routing, and response modeling.
Exploration of gRPC for high-performance, low-latency communication between services.
Focus: Protocol Buffers, gRPC server & client setup.
Integration with Apache Kafka for real-time message streaming between producers and consumers.
Focus: Asynchronous communication and event-driven design.
Implementation of HashiCorp Consul for service discovery and health checks.
Focus: Dynamic service registration and discovery in microservice environments.
Demonstrates load balancing using Consul + Nginx, ensuring traffic is evenly distributed among instances.
Showcases RabbitMQ for reliable message queuing between microservices.
Focus: Producer-consumer model and asynchronous task handling.
Experiment with etcd, a distributed key-value store used for configuration and coordination in microservices.
Focus: Leader election and service registry.
Prometheus is used for metrics collection and monitoring across services.
Each microservice exposes /metrics endpoints to allow Prometheus to scrape data such as:
- Request count
- Latency and error rates
- Response times
This setup can be visualized using Grafana for creating rich dashboards.
- FastAPI
- gRPC
- RabbitMQ
- Kafka
- Consul
- etcd
- Prometheus
- SQLAlchemy
- Python 3.10+
This repository serves as a complete practical guide for mastering Microservices Architecture and Distributed Systems.
It blends multiple technologies to demonstrate how scalable and observable systems are built in real-world environments.