The System Design Manual
The System Design Manual
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The System Design Manual

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Last updated on 2020-06-28

About the Book

I recall how hard it was to find the right information when I first started out. Some books on distributed systems were too theoretical to build real stuff. Some felt like marketing material for a technology stack that would be obsolete in a few years. All I wanted was something pragmatic - a timeless classic. Only whitepapers of real systems satisfied me. But without a solid grasp of the fundamentals, I spent hours trying to connect all the missing dots.

This is why I decided to write a manual to teach the fundamentals of large scale distributed systems. The book contains knowledge I have used over the years to solve concrete problems, the kind that needs to scale to millions of requests per second, and billions of devices. But no matter what scale you are working on today, the core principles are universal.

After reading the book, you are not going to look at network calls the same way. And you will start applying that knowledge from day one at your job and on personal projects. Armed with the core fundamentals, you will have the tools to understand technical whitepapers, build systems of your own, and nail interviews.

About the Author

Roberto Vitillo
Roberto Vitillo

Hi! My name is Roberto Vitillo. I have over 15 years’ experience in the tech industry as a software engineer, tech lead, and manager.

In 2017 I joined Microsoft to work on an internal data platform as a SaaS product. Since then, I have helped launch two public SaaS products, Product Insights and Playfab. The data pipeline I am responsible for is one of the largest in the world. It processes millions of events per second from billions of devices worldwide.

Before that, I worked for Mozilla, where I wore different hats, from performance engineer to data platform engineer. What I am most proud of is having set the direction of the data platform from its very early days and built a large part of it, including the team.

Table of Contents

  • Introduction
    • Concepts
    • Scalability
    • Resiliency
    • Operability
  • Network Fundamentals
    • TCP
    • UDP
    • TLS
    • DNS
    • HTTP APIs
  • Distributed Algorithms
    • Failure Detection
    • Leader Election
    • Order
    • Consistency Models
    • Transactions
  • Architectural Patterns
    • Sharding
    • Replication
    • Caching
    • Asynchrony
    • Publish-Subscribe
    • Scatter-Gather
    • Map-Reduce
  • Stability Patterns
    • Instability Patterns
    • Timeout
    • Retry
    • Circuit Breaker
    • Load Shedding
    • Load Leveling
    • Rate Limiting
    • Health Endpoint
  • Operational Patterns
    • Metrics
    • Logs
    • Alerts
    • SLOs
    • Prober
    • Chaos Engineering

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