
Overview of the course structure and what we will build throughout this full-stack journey.
Setting up the essential tools required for backend and frontend development.
Installing Go and preparing the backend development environment.
Understanding distributed architecture fundamentals.
Designing scalable multi-node system architecture.
Simulating distributed behavior in local environment.
Exploring Kafka for inter-service communication.
Setting up a local Kafka cluster environment.
Initializing Kafka-based application commands.
Implementing Kafka management layer.
Building service heartbeat mechanism (part 1).
Continuing heartbeat monitoring logic (part 2).
Finalizing heartbeat and failover logic.
Handling distributed notifications through Kafka.
Managing distributed messages via Kafka topics.
Tracking online/offline users across nodes.
Building distributed chat hub layer.
Connecting WebSocket handlers with Kafka backend.
Creating realtime notification hub for distributed system.
Implementing WebSocket client for distributed notifications.
Testing distributed demo application behavior.
Modern applications rarely run on a single server.
Today's platforms such as social networks, messaging applications, e-commerce systems, and SaaS products rely on distributed systems that can scale across multiple machines while handling millions of events in real time.
In this course, you'll learn distributed systems by building a complete real-world project using Golang and Apache Kafka.
Rather than focusing on theory alone, we will design and implement a distributed social network application step by step. Along the way, you'll learn how multiple application nodes communicate, how messages flow through Kafka, how services stay synchronized, and how real-time communication works at scale.
We'll start by understanding the foundations of distributed systems, including architecture patterns, scalability challenges, and why modern applications require distributed designs.
Next, we'll create a Kafka cluster using Docker Compose and integrate Kafka into our Golang application. From there, we'll build several real-world components including:
• Heartbeat services for node monitoring
• Distributed notification systems
• Event-driven message managers
• Online/offline presence tracking
• Real-time chat infrastructure
• WebSocket communication layers
• Kafka-powered microservices
By the end of this course, you'll have built a complete distributed application while gaining practical experience with the technologies and patterns used in modern backend systems.
Whether you're a backend developer, software engineer, or aspiring system architect, this course will give you the hands-on experience needed to understand and build real-world distributed systems using Golang and Kafka.