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System Design & Containerization Masterclass: Building Scalable Distributed Systems

Master the fundamentals of scalable system design and containerization. Learn to design high-availability distributed systems, manage SQL/NoSQL databases, implement caching, and orchestrate services using Docker and Docker Compose to handle millions of users efficiently.

Telusko
Telusko@telusko
Published Jul 4, 2026
Updated Jul 5, 2026
System Design & Containerization Masterclass: Building Scalable Distributed Systems
4h 57m
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Course Overview

In modern software engineering, building applications that scale to millions of users requires a deep understanding of system design and containerized infrastructure. This course bridges the gap between high-level architectural patterns and hands-on deployment strategies, equipping you with the mindset and tools to build robust, distributed systems.

What You'll Learn

  • Architectural Mindset: Understand functional vs. non-functional requirements, and design for high availability, reliability, and performance.
  • Core Components: Master DNS resolution, API communication styles (REST, WebSockets, gRPC), and database paradigms (SQL vs. NoSQL).
  • Scaling Patterns: Implement caching strategies, load balancing algorithms, replication, and database partitioning (sharding).
  • Distributed Reliability: Understand the CAP Theorem, asynchronous processing with Message Queues, and fault tolerance.
  • Modern Containerization: Learn Docker, Docker Compose, and volumes to package, run, and persist data in multi-container environments.

Target Audience

  • Beginner developers starting with System Design or DevOps.
  • Backend Engineers preparing for system design interviews.
  • System administrators and DevOps beginners looking to master containerization.

Prerequisites

  • Basic command-line interface (CLI) knowledge.
  • Fundamental understanding of web applications.

Tools & Technologies

  • Databases: SQL and NoSQL (MongoDB, Key-Value, Document, Graph)
  • Infrastructure: Load Balancers, Message Queues, Caching layers
  • Containerization: Docker, Docker Compose, Docker Hub, Docker Volumes

Course Content

8Chapters20Lessons8Quizzes
1

Introduction to System Design Mindset & Core Components

3 lessons · 35mQuiz
1

Shifting Your Mindset to System Design

5:33
2

Case Study: Designing the Alien Bank

14:01
3

Core Components of Distributed Systems

15:48
2

Application Architectures: Data-Intensive vs. Compute-Intensive

2 lessons · 12mQuiz
1

Understanding Data-Intensive Applications

7:41
2

Mastering Compute-Intensive Applications

5:15
3

Communication Protocols, APIs, and DNS Architecture

3 lessons · 51mQuiz
1

Mastering the Domain Name System (DNS) Architecture

12:08
2

Comparing API Architectures: REST, GraphQL, gRPC, and WebSockets

12:39
3

Deep Dive into RESTful API Design and Best Practices

26:21
4

Database Paradigms: Relational (SQL) vs. Non-Relational (NoSQL)

2 lessons · 40mQuiz
1

Mastering Relational Databases (SQL), Constraints, and Joins

21:09
2

Exploring NoSQL Database Paradigms and Scaling Strategies

18:57
5

Scaling Strategies: Caching, Load Balancing, and Replication

3 lessons · 1h 16mQuiz
1

Introduction to Caching and Cache Strategies

25:43
2

Load Balancing Concepts and Routing Algorithms

30:11
3

Database Replication Models and Consistency

21:01
6

Reliability in Distributed Systems: Partitioning, CAP Theorem, and Message Queues

3 lessons · 43mQuiz
1

Database Partitioning & Sharding Strategies

12:54
2

The CAP Theorem & Distributed Trade-offs

6:20
3

Asynchronous Communication with Message Queues & Pub/Sub

23:52
7

Monitoring, Fault Tolerance, and Containerization with Docker

2 lessons · 15mQuiz
1

Designing for Fault Tolerance and Resilient Systems

7:07
2

System Observability: Monitoring APIs and Machine Metrics

8:11
8

Hands-On Case Study: Designing a Scalable Streaming Application

2 lessons · 22mQuiz
1

Designing the Video Ingestion and Processing Pipeline

12:10
2

Scalable Content Delivery and Streaming Protocols

10:49

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