🌐 Distributed Systems

🌐 Distributed Systems

Course Code: 27016-COs-CS
Academy: Engineering Office for Technology and Software Services

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🎯 Target Audience

• Computer Science & Software Engineering Students

• Software Developers interested in Distributed Architectures

• Engineers in Cloud Computing and Network Infrastructure

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🕒 Course Duration

• 6 Weeks

• 12 Sessions

• 1.5 Hours per Session

• Total: 18 Hours

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✅ Course Objectives

• Understand the core concepts of distributed systems

• Explore synchronization, fault tolerance, and consistency

• Gain practical experience with tools like Docker, Kafka, MongoDB

• Learn how to design, secure, and deploy scalable distributed applications

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📚 Course Modules

🔹 Module 1: Introduction to Distributed Systems

• What are Distributed Systems and Why They Matter

• Advantages and Challenges of Distributed Systems

• Real-World Examples: Google Cloud, Netflix, Blockchain

• Centralized vs Distributed Architectures

🔹 Module 2: Communication Models

• Synchronous vs Asynchronous Communication

• Communication Protocols: RPC, REST, gRPC

• Distributed Messaging Tools: RabbitMQ, Apache Kafka

• Hands-on: Implementing Message Queues in a Sample System

🔹 Module 3: Synchronization & Consistency

• Synchronization Issues and Race Conditions

• Consistency Models: Strong, Eventual, Causal

• Synchronization Algorithms: Lamport Timestamps, Vector Clocks

• Hands-on: Managing Data Consistency in Distributed Environments

🔹 Module 4: Fault Tolerance

• Types of Failures in Distributed Systems

• Designing Fault-Tolerant Systems: Replication, Redundancy

• Consensus Algorithms: Paxos, Raft

• Hands-on: Replication Techniques with Sample Code

🔹 Module 5: Distributed Storage & Databases

• Distributed File Systems: HDFS, Ceph

• Distributed Databases: MongoDB, Cassandra

• Understanding the CAP Theorem

• Hands-on: Querying and Structuring Distributed Databases

🔹 Module 6: Distributed & Cloud Computing

• Cloud Computing as a Subset of Distributed Systems

• Introduction to Containers: Docker, Kubernetes

• Building and Deploying Cloud-Native Apps

• Hands-on: Deploying a Distributed System on Kubernetes

🔹 Module 7: Security in Distributed Systems

• Security Challenges in Distributed Environments

• Data Encryption and Authentication/Authorization

• Security Protocols: OAuth, SSL/TLS

• Hands-on: Securing APIs and Microservices in a Distributed Setup

🔹 Module 8: Final Projects & Real-World Applications

• Build a Basic Distributed System with Integrated Tools

• Develop Applications using Microservices Architecture

• Analyze and Optimize System Performance

• Final Project Presentation and Feedback

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🛠 Tools & Platforms Used

• Docker and Kubernetes – Container Management

• RabbitMQ, Apache Kafka – Message Queuing

• MongoDB, Cassandra – Distributed Databases

• Wireshark – Network Traffic Analysis

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📌 Prerequisites

• Solid understanding of TCP/IP networking

• Basic knowledge of databases and data structures

• Programming experience (preferably Java or Python)

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🏅 Deliverables

• Course Completion Certificate

• Full Source Code of Final Project

• Deployment Documentation

• Access to Simulation Labs and Tools