System Design Fundamentals
Learn the core building blocks of scalable systems (load balancing, caching, databases, APIs) in a beginner-friendly, text-based course. From the creators of Grokking the System Design Interview.

Course Overview
System design is the work of deciding how the parts of a software system fit together. The goal is a system that stays fast, correct, and available as it grows. The parts are things like web servers, databases, caches, load balancers, and message queues. System design fundamentals are the small set of building blocks and ideas that every large system is made from. This course teaches them one at a time, in the order you need them. Each chapter takes one building block. It explains what problem the block solves, what new problem it creates, and when you need it. You start with the qualities every system is judged by: scalability, availability, latency, and fault tolerance. Then you learn to estimate load with back-of-the-envelope math. That lets you say how many requests per second a design must handle before you draw a single box. From there the course follows the path a request takes. Network essentials cover HTTP, TCP against UDP, and what happens when you type a URL into a browser. DNS turns a name into an address. A proxy sits between a client and a server. A load balancer spreads traffic across many servers. An API gateway gives clients one entry point. A rate limiter protects a service from too many requests at once. Next come the parts that make a system fast and let it grow. Caching keeps a copy of frequently read data close to the reader. A content delivery network (CDN) serves files from servers near the user. Data partitioning splits a large dataset across many machines. Redundancy and replication keep extra copies of data, so one failed machine does not lose it. The real-time chapter compares long-polling, WebSockets, and server-sent events, the three ways a server pushes updates to a browser. The data chapters explain SQL and NoSQL databases and when each fits. They cover ACID against BASE, normalization, database federation, and in-memory against on-disk storage. You learn how an index works, from B-trees to LSM trees, and how indexes behave when the data is spread across machines. Bloom filters show how to answer "have I seen this before?" with very little memory. The CAP and PACELC theorems explain what a system can and cannot promise when the network breaks. The distributed systems chapters cover the patterns that keep many machines working as one: quorum, leader and follower, heartbeat, and checksum. Distributed messaging explains queues, Kafka, common messaging patterns, and the differences between RabbitMQ, Kafka, and ActiveMQ. Distributed file systems show how a single file is stored across many machines. The security chapter covers authentication, authorization, OAuth against JWT, encryption, and DDoS attacks. Who this course is for. It is for software engineers and students who are new to distributed systems. It is for backend developers who use these parts at work but have never had them explained from the start. It is for anyone preparing for a first system design interview who needs the vocabulary before the practice. You need basic programming knowledge and nothing else. Every term is defined in plain words the first time it appears. How the course works. The lessons are text-based, with a diagram wherever a picture explains more than a paragraph. Every topic chapter ends with a flashcards review and an adaptive assessment, so you check what you remember before moving on. The course closes with a final quiz drawn from a question bank that covers every chapter. It takes about 20 hours in total, and it is self-paced, so you can spread that over a few weeks or a few months. What comes next. Grokking the System Design Interview is the step after this course. You are ready for it when you can explain what a load balancer, a cache, a replica, and a message queue each do. That course builds directly on this one with a step-by-step method for the interview and real design problems worked end to end. Take this course first if those parts are still new to you. This course was formerly called Grokking System Design Fundamentals. The name changed; the content and your progress did not.
What you'll learn in System Design Fundamentals
- Master the core building blocks of scalable systems: load balancing, caching, CDNs, and databases.
- Estimate QPS, storage, and bandwidth with back-of-the-envelope math before you design anything.
- Learn how database indexes work, from B-tree internals to LSM trees and distributed indexes.
- Use the CAP and PACELC theorems to reason about consistency and availability trade-offs.
- Protect systems with rate limiting, authentication, authorization, OAuth vs. JWT, and encryption.
- Reinforce every chapter with flashcards and an adaptive assessment, then take a final course quiz.
- Understand how the web works, from DNS and TCP to what happens when you type a URL into the browser.
- Compare SQL and NoSQL databases and understand ACID vs. BASE, normalization, and federation.
- Scale data with partitioning, sharding, redundancy, and replication, and know their trade-offs.
- Build real-time features with long-polling, WebSockets, and Server-Sent Events.
- Learn distributed patterns like quorum, heartbeat, and Bloom filters, plus messaging with Kafka.
- Build the foundation you need before taking Grokking the System Design Interview.
Course Content
Key Characteristics of Distributed Systems
Back-of-the-Envelope Estimation
Long-Polling vs. WebSockets vs. Server-Sent Events
Domain Name System (DNS)
Rate Limiting and Throttling
Redundancy and Replication
Databases (SQL vs. NoSQL)
Quorum
Leader and Follower
Heartbeat
Checksum
Distributed File Systems
Misc Concepts
Batch Processing vs. Stream Processing
XML vs. JSON
Synchronous vs. Asynchronous Communication
Push vs. Pull Notification Systems
Microservices vs. Serverless Architecture
Message Queues vs. Service Bus
Stateful vs. Stateless Architecture
Event-Driven vs. Polling Architecture
Flashcards Review
Chapter Assessment
Final Quiz
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About the Author

Arslan Ahmad
Industry Expertise & Leadership
Arslan Ahmad is the lead author of System Design Fundamentals. As the founder of Design Gurus and a former FAANG hiring manager, he has worked at industry giants like Facebook (now Meta) and Microsoft.
He has conducted hundreds of system design interviews, giving him unique insight into what top tech companies look for in candidates.
The course also incorporates expertise from senior engineers at Google, Meta, Amazon, Microsoft, and Uber, ensuring you learn system design best practices from professionals who have built and scaled real-world systems.
500+
Interviews Conducted
10k+
Students Taught
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FAQs
What are the fundamentals of system design?
They are the building blocks every large system is made from and the ideas behind them: scalability, availability, and latency; load balancing, caching, CDNs, and proxies; data partitioning, replication, indexes, and SQL and NoSQL databases; the CAP theorem; messaging and queues; and distributed patterns like quorum, heartbeat, and leader and follower. This course teaches each one in its own chapter, in the order you need them.
Are there any prerequisites for System Design Fundamentals?
No, there are no strict prerequisites; this course is designed to be beginner-friendly. It starts with the basics of system design, so as long as you have basic programming knowledge, you can easily follow along and learn system design fundamentals from scratch.
Can I take this course with no distributed systems experience?
Yes. Every part is described in plain words before its technical name appears, and each chapter explains what problem the part solves and what new problem it creates, so you do not need to have run a large system to follow along.
Which topics does the course cover?
The key characteristics of distributed systems, back-of-the-envelope estimation, network essentials, real-time delivery with long-polling, WebSockets, and server-sent events, DNS, proxies, load balancing, API gateways, rate limiting, caching, CDNs, data partitioning, redundancy and replication, the CAP and PACELC theorems, SQL and NoSQL databases, indexes, Bloom filters, quorum, leader and follower, heartbeat, checksum, distributed messaging with Kafka, distributed file systems, and security.
Do I need to know how to code to learn system design?
Basic programming knowledge is enough. The lessons contain no coding exercises; they explain how the parts of a system work and when to use them, with diagrams, flashcards, and quizzes rather than code.
Is this course text-based or video-based?
The course content is delivered entirely through text-based lessons (no video lectures). This format lets you read and learn at your own pace, with clear explanations and diagrams throughout to help you understand each concept.
How long does it take to complete this fundamentals course?
The course has about 20 hours of content, but since it is self-paced, you can take as long as you need to finish. Many learners complete it in a few weeks by studying a bit each day, while others spread it out over a couple of months; the timing is completely up to you.
Does this course include quizzes or practice exercises?
Yes. Every chapter ends with a flashcards review and an adaptive chapter assessment, and the course finishes with a final quiz drawn from a question bank covering every chapter, so you can test yourself on each topic before moving on.
Will System Design Fundamentals help me prepare for system design interviews?
Absolutely, this course builds the foundation that system design interviews test: load balancing, caching, data partitioning, replication, and the CAP theorem, plus interview skills like back-of-the-envelope estimation. Once you finish, Grokking the System Design Interview is the recommended next step.
Should I take this course or Grokking the System Design Interview first?
Take this course first if you cannot yet explain what a load balancer, a cache, a replica, and a message queue each do. If you can, and your interview is close, start with Grokking the System Design Interview and come back to a chapter here whenever a building block feels unclear.
Is there a free way to start?
Yes. You can read the opening lessons of the course free before you buy, and the free five-day email mini course on system design interviews covers the key principles, scalability and availability, and the system design master template.
Is this the same course as Grokking System Design Fundamentals?
Yes. We renamed the course to System Design Fundamentals; the content and your progress are unchanged.
