System Design Deep Dive: Real-World Distributed Systems

Ready to become a System Design pro? Unlock the world’s largest distributed systems, including file systems, data processing systems, and databases from hyperscalers like Google, Meta, and Amazon.

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158 Lessons

20h

Certificate of Completion

Ready to become a System Design pro? Unlock the world’s largest distributed systems, including file systems, data processing systems, and databases from hyperscalers like Google, Meta, and Amazon.

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AI-POWERED

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This course includes

31 AI Feedbacks

111 Quizzes

This course includes

31 AI Feedbacks

111 Quizzes

Course Overview

This course deep dives into how large, real-world systems are built and operated to meet strict service-level agreements. You’ll learn the building blocks of a modern system design by picking and combining the right pieces and understanding their trade-offs. You’ll learn about some great systems from hyperscalers such as Google, Facebook, and Amazon. This course has hand-picked seminal work in system design that has stood the test of time and is grounded on strong principles. You will learn all these princ...Show More

TAKEAWAY SKILLS

System Design

Prepare For Interview

What You'll Learn

Working knowledge of building large-scale systems

Ability to evaluate common system design trade-offs

Ability to map interview questions and on-job design tasks to well-known systems

Familiarity with the complexity of real-world systems behind a seemingly simple system

Understanding of large cloud service providers hosted in geographically dispersed data centers

What You'll Learn

Working knowledge of building large-scale systems

Course Content

Prologue

Get familiar with core system design principles, case studies, and critical evaluation techniques.

Case Studies: Standing on the Shoulders of Giants

File Systems

Look at the role and evolution of distributed file systems for scalable data management.

Introduction to Distributed File Systems

Google File System (GFS)

Examine the Google File System's design for scalability, performance, and fault tolerance in distributed environments.

GFS Deep Dive for System Design GFS File Operations Detailed Design of GFS Workflow of Create and Read File Operations in GFS Workflow of Write Operations in GFS Workflow of Delete and Snapshot Operations in GFS Relaxed Data Consistency Model Dealing with Data Inconsistencies in GFS Metadata Consistency Model of GFS Evaluation of GFS Quiz on GFS

Google Colossus File System

Break down the steps to Colossus's scalability, low-latency, and enhanced control in data management.

Colossus Deep Dive for System Design Design and Evaluation of Colossus Quiz on Colossus

Facebook's Tectonic File System

Consolidate storage resources and ensure scalability, efficiency, and performance isolation in advanced systems.

Tectonic Deep Dive for System Design ZippyDB Design Detailed Design of Tectonic Multitenancy in Tectonic Tenant-specific Optimization in Tectonic Empirical Evaluation of Tectonic's Functional Requirements Evaluation of Tectonic Quiz on Tectonic

Databases

1 Lesson

Investigate the evolution and trade-offs in distributed database systems like Bigtable, Megastore, and Spanner.

Google Bigtable

7 Lessons

Piece together the parts of Google's Bigtable, focusing on its data model, architecture, and design refinements.

Google Megastore

6 Lessons

Learn how to use Megastore for scalable, reliable, and ACID-compliant cloud storage.

Google Spanner

9 Lessons

Look at Google Spanner’s unique combination of SQL consistency, NoSQL scalability, and global performance.

10.

Key-value Stores

1 Lesson

Examine key-value stores' role in distributed systems and their foundational impact on NoSQL databases.

11.

Many-core Key-value Store

5 Lessons

Break down the steps to design an efficient, power-saving many-core key-value store system

12.

Scaling Memcache

7 Lessons

Solve problems in scaling Memcache, managing data replication, performance optimization, and consistency.

13.

SILT

12 Lessons

Investigate optimizing key-value stores for efficient resource use, low latency, and scalability.

14.

Amazon DynamoDB

8 Lessons

Build on DynamoDB's scalability, flexible schemas, and robust high availability mechanisms.

15.

Concurrency Management

1 Lesson

Get familiar with managing concurrency using locks and service systems for operational consistency.

16.

Two-phase Locking (2PL)

3 Lessons

Unpack the core of Two-Phase Locking (2PL), ensuring serializability while addressing deadlocks and performance issues.

17.

Google Chubby Locking Service

8 Lessons

Examine Chubby's innovative, robust design for distributed systems, enhancing fault tolerance, replication, and client coordination.

18.

ZooKeeper

5 Lessons

Break down complex ideas of ZooKeeper's architecture, primitives, and performance in distributed systems.

19.

Big Data Processing: Batch to Stream Processing

1 Lesson

Take a closer look at big data systems like MapReduce, Spark, and Kafka.

20.

MapReduce

8 Lessons

See how it works to streamline parallel data processing, fault tolerance, and scalability using MapReduce.

21.

Spark

10 Lessons

Master the steps to leverage Spark's in-memory computation for scalable, low-latency data processing.

22.

Kafka

8 Lessons

Learn how to use Kafka for efficient, scalable, and reliable real-time data streaming.

23.

Consensus

1 Lesson

Look at essential consensus algorithms for fault-tolerant distributed systems design.

24.

Understanding Consensus: Two Generals, FLP, & Byzantine Generals

4 Lessons

Examine consensus challenges in distributed systems, including the Two Generals, FLP, and Byzantine Generals problems.

25.

Two-phase Commit

4 Lessons

Grasp the fundamentals of the Two-Phase Commit protocol for ensuring distributed transaction consistency.

26.

State Machine Replication

10 Lessons

Take a closer look at replicating state machines for fault tolerance, coordinated requests, and fault-tolerant outputs.

27.

Paxos

6 Lessons

See how Paxos maintains consensus in distributed systems, addressing safety, liveness, and fault tolerance.

28.

Raft

8 Lessons

Piece together the parts of the Raft algorithm, ensuring consistent, reliable distributed systems.

29.

Epilogue

1 Lesson

Stay updated on system design, apply knowledge in real-world scenarios, and continue learning.

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