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Large-Scale Systems Design Part 1

Learn common components of global-scale services through popular papers, books, and articles.

(4.8) 13 reviews

331 learners

  • Jayce
이론 중심
3시간 만에 완강할 수 있는 강의 ⏰
DBMS/RDBMS
컴포넌트
software-design

Reviews from Early Learners

What you will learn!

  • System design

  • Computer Engineering

  • Distributed system

Distributed systems that seem complex and difficult,
Did you know that there's actually a pattern to the solution? ⭐

Have you ever thought about this?

I have no experience with large-scale systems, but the company I want to work for requires knowledge of large-scale systems...

I want to study distributed systems, but where should I start?

I need to build a large-scale system, but I don't know what problems there might be or how to best solve them.

A large-scale, complex system,
Study like this! 📖

Distributed systems are a truly challenging area. If there are 100 services built on a distributed system, each service will utilize the distributed system with a different strategy tailored to its specific situation. However, the problems to be solved in distributed systems often follow common patterns. Consequently, the methods for solving these problems are also patterned .

In this lecture, we'll explore the challenges faced in developing planet-scale services through renowned papers. We'll explore common problems encountered in large-scale services through renowned books, papers, and articles.

Scaling Memcache at Facebook paper
Dynamo paper

A word from knowledge sharer Jayce 🧑‍💻

When I was a junior, I once told a senior colleague at the company, "I've never developed a large-scale system before, so I'm not sure if what I'm trying to build is a good approach."

A senior colleague told me, " No one has ever experienced the exact situation you're in. Large-scale systems face different, detailed problems for each company. So we need to study in depth how similar problems were solved to find solutions that work for us. "

I began studying these issues, and through this process, I discovered how studying can help me grow as an engineer. I hope my lectures will help junior developers learn how to study deeply.


Lecture Features ✨

  • ✔️ You can learn about components that appear repeatedly in complex distributed systems .
  • ✔️ We explain how specific components are utilized in actual systems based on papers, books, open source, and case studies.
  • ✔️ We provide a glossary of component terms. The glossary is designed to help you understand and design distributed systems.
  • ✔️ Please check the class notes for each lecture unit. They include an introduction to the lecture content and reading material .

What you'll learn 📚

In this course, you'll learn about the fundamentals of distributed systems, including replication, sharding, and consistent hashing. You'll then explore real-world examples of how these components are applied.

Section 0 Introduction

This course provides an overview of the course. You can review the course objectives, target audience, main content, and presentation method.

Section 1: Basic Theory of Large-Scale Systems

Learn about CAP theory, a fundamental principle of system design, and distributed storage techniques such as replication, partitioning, and sharding.

Section 2 Components of a Distributed System

Learn about Consistent Hashing, Rate Limiter (throughput control), and Unique ID Generator, which are components frequently encountered when designing distributed systems.

Section 3 Case Study

Based on this paper, we will examine the implementation of distributed systems by global companies such as Amazon, Facebook, and Instagram.

📢 Please check before taking the class!

  • This course doesn't cover basic network and database knowledge. But don't worry too much. If you're familiar with really basic terms like TCP and Transactions, you'll be fine.
  • This course does not include hands-on training . Please note that because distributed systems prioritize predicting and resolving failures, it's difficult to experience this in class.

Course Target Audience/Course Purpose 🙆‍♀️

Junior developers with no experience designing large-scale systems

Developers who want to study the components of distributed systems

Those who want to study complex systems from a macroscopic and theoretical perspective

Backend developer with 1-3 years of experience developing backend systems

📌 Join this lecture!

  • You will learn about problems that can arise in large-scale systems and how to solve them.
  • I can eloquently explain best practices when designing large-scale systems.
  • You can acquire good theoretical background for learning more advanced distributed systems.
  • I will provide you with links to PPT study materials and in-depth study materials.

Expected Questions Q&A 💬

Q. Is it okay if I don't know much about computer engineering?

Basic CS knowledge is required. It's difficult to say exactly what constitutes basic knowledge, but if you have the necessary knowledge to work as a backend engineer, you should be able to address any remaining gaps through questions and research.

Q. Is there any practical training?

This course is a theoretical one. While developing even a simple distributed system is a truly valuable learning tool, I believe the difficulty of distributed systems stems from failure situations. Because it's difficult to build an environment that simulates unknown network failures, this course doesn't include implementation exercises. Instead, you'll learn how real-world cases have been used to resolve failures.

Q. What can I expect from this course?

I hope this lecture series will serve as a glossary of distributed systems knowledge for junior developers. You'll learn about common and well-known problems and solutions used in distributed systems. You'll be able to recall the lectures when you encounter or design similar problems. You'll also be able to make compelling arguments in interviews asking for system design skills.


Recommended for
these people

Who is this course right for?

  • Junior Backend Developer

  • People who want to study distributed systems

Need to know before starting?

  • Basic network knowledge and terminology

  • Basic database knowledge and terminology

Hello
This is

393

Learners

14

Reviews

4

Answers

4.8

Rating

2

Courses

안녕하세요. 저는 Jayce입니다. 현재 유니콘 스타트업의 플랫폼 엔지니어로 일하고 있습니다.

저는 창업도 하고 대규모 서비스를 위한 개발도 하고 개발자를 위한 플랫폼을 만들기도 하면서 짧은 시간 동안 서비스 개발자라고 불리는 역할도 수행해보고 플랫폼 엔지니어라고 불리는 역할도 수행했습니다. 그 과정에서 "잘하는 Software Engineer는 어떤 특징이 있고 어떻게 해야 그런 사람이 될 수 있구나"를 나름대로 정립할 수 있었습니다.

저는 짧게 말해서 Deep Dive 하는 사람들을 함께 일하는 엔지니어로서 매력적이라고 느낍니다. 단순히 주어진 일을 기계처럼 쳐내는 사람은 어떤 상황에 대한 최선의 선택을 내리기까지 비교적 오랜 시간이 걸리는 것 같아요. 반면 왜 이런 결정을 해야하는지 기술 내면의 공학적인 이유를 파고들며 이해하는 사람들은 금방 다른 의사 결정에서도 공학적으로 설득력 강한 주장을 할 수 있는 사람이 됩니다.

제가 만드는 강의는 새로운 기술을 얕게 익히는 것을 목표로 하지 않습니다. 저는 주니어 개발자들이 훌륭한 팀 동료, 매력적인 개발자, 단단한 기술자가 될 수 있는 방법을 알려주고 싶습니다. 더욱 매력있는 엔지니어가 되기 위해 조금 더 깊은 내용을 공부해보고 싶은 사람들에게 적합한 강의를 제 최선의 노력으로 만들어보겠습니다. 🙂

Curriculum

All

14 lectures ∙ (2hr 10min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

13 reviews

4.8

13 reviews

  • dudals9901님의 프로필 이미지
    dudals9901

    Reviews 13

    Average Rating 5.0

    5

    100% enrolled

    얼른 part 2도 나왔으면 좋겠네요

    • parkhs님의 프로필 이미지
      parkhs

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      대규모 트래픽이나 거대한 시스템 설계 이론에 관심이 있어서 수강했는데 전체적으로 좋았습니다. 관련 분야에 관심이 있으신 분은 수강하시면 좋을 것 같아요. '이러한 개념과 이론이 있고, 아마존 같은 큰 회사에서 이런식으로 설계했구나' 정도로 간략하게 알아보는 형식으로 강의가 구성이 되어있고, 수강 후에 개인적으로 대규모 트래픽과 대용량 데이터 처리 그리고 시스템 설계 관련해서 더 학습해야 할 듯 합니다. 전체적으로 말씀하시는 속도가 조금 빠르고, 강의 속도가 조금 빠른 편입니다. 깊게 파고들지는 않습니다. 강의 자막이 있기는 한데 PDF 오타가 있는 것 같더라구요. 결론은 추천합니다~

      • geumsung7769님의 프로필 이미지
        geumsung7769

        Reviews 7

        Average Rating 5.0

        5

        36% enrolled

        • 손정만님의 프로필 이미지
          손정만

          Reviews 43

          Average Rating 4.6

          4

          36% enrolled

          • kyj1031님의 프로필 이미지
            kyj1031

            Reviews 9

            Average Rating 5.0

            5

            100% enrolled

            $30.80

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