On this page
- Scalability
Example
Implementation Tips
Building blocks for scalability
- Availability
Example
Implementation Tips
Building blocks for availability
- Reliability
Example
Implementation Tips
Building blocks for reliability
- Performance
Example
Implementation Tips
Building blocks for performance
Which building block serves which pillar
Final Thoughts
FAQs
Q1. What are the 4 pillars of system design?
Q2. Why are these pillars important in system design interviews?
Q3. How do these pillars relate to real-world systems?
Q4. Do I need to master all four pillars to pass a system design interview?
Q5. Which building blocks serve each pillar?
Related Reading
Related questions
4 Basic Pillars of System Design: Scalability, Availability, Reliability, Performance

On This Page
- Scalability
Example
Implementation Tips
Building blocks for scalability
- Availability
Example
Implementation Tips
Building blocks for availability
- Reliability
Example
Implementation Tips
Building blocks for reliability
- Performance
Example
Implementation Tips
Building blocks for performance
Which building block serves which pillar
Final Thoughts
FAQs
Q1. What are the 4 pillars of system design?
Q2. Why are these pillars important in system design interviews?
Q3. How do these pillars relate to real-world systems?
Q4. Do I need to master all four pillars to pass a system design interview?
Q5. Which building blocks serve each pillar?
Related Reading
Related questions
This blog breaks down the four core pillars of system design: Scalability, Availability, Reliability, and Performance. You will learn what each means, why it matters in real systems, which building blocks serve it, and how to apply it in system design interviews with confidence.
The four pillars of system design are scalability, availability, reliability, and performance. Scalability is handling more users and data without slowing down. Availability is being up when users need you. Reliability is giving the right answer every time. Performance is answering quickly.
Every building block in a system, like a load balancer, a cache, or a replica, exists to serve one or more of these four. This guide explains each pillar, the parts that serve it, and where to learn each part.
1. Scalability
Scalability is about preparing your system to handle growth smoothly.
As more users come onboard or data inflow increases, your system should be able to manage this increased load without slowing down or crashing.
Example
Imagine a bus that needs to carry more passengers.
Scalability is like adding more buses or increasing the size of each bus so that more passengers can travel without delays.
Implementation Tips
-
Horizontal Scaling: This involves adding more machines or instances to your pool of resources to handle the increased load.
-
Vertical Scaling: This is about upgrading the existing machines with more powerful hardware.
Building blocks for scalability
Scalability is mostly about spreading work. Four parts do most of that spreading.
A load balancer is a server that sits in front of your application servers and sends each request to one of them. It is what makes horizontal scaling possible, because clients see one address while many machines do the work. Lesson: Introduction to Load Balancing.
Data partitioning splits one large table across several database servers (sharding), so each server holds and searches a smaller piece. It is the database's way of adding more machines. Lesson: Introduction to Data Partitioning.
A message queue holds work that does not need an answer right now, like sending an email or resizing an image. A spike in traffic then fills the queue instead of overloading the servers. Lesson: Introduction to Messaging System.
Before you add any of these, estimate the load. Back-of-the-envelope math tells you how many requests per second and how much storage a design must handle, which decides whether you need one server or fifty. Lesson: Estimating QPS, Storage, and Bandwidth.
Understand the 25 fundamental System Design concepts.
2. Availability
Availability ensures that your application is always operational and ready to serve your users.
High availability means your application experiences minimal downtime, maintaining a reliable access point for users at all times.
Example
Think of a supermarket that's open 24/7. No matter when you go, it's open.
Similarly, your system should aim to be accessible whenever users need it.
Implementation Tips
-
Redundancy: Have backups for your critical components so that if one fails, others can take over without affecting the system.
-
Regular Updates and Maintenance: Schedule these during off-peak hours and ensure they don't disrupt the service.
Check out the System Design Primer.
Building blocks for availability
Availability comes from having more than one of everything that can fail, and from noticing failures fast.
Redundancy means running spare copies of a server or a database, so one failure does not take the system down. Replication is redundancy for data: the same rows are kept on several servers. Lessons: What is Redundancy?, What is Replication?.
A heartbeat is a small message a server sends every few seconds to say it is still alive. When the heartbeats stop, the system sends traffic elsewhere. Lesson: What is Heartbeat?.
DNS load balancing and failover let the name of your service point at a healthy region when one region fails. Lesson: DNS Load Balancing and High Availability.
The CAP theorem sets the limit. When the network splits, a system must choose between staying available and staying consistent, and that choice is a design decision, not an accident. Lesson: Introduction to CAP Theorem.
3. Reliability
Reliability is about ensuring your system consistently operates correctly, delivering the right output every time.
It means your application can be trusted to perform its intended functions under normal and unexpected conditions.
Example
Consider a calculator that consistently gives correct results, whether you're adding small numbers or calculating complex equations.
Implementation Tips
-
Error Handling: Develop robust error handling that can gracefully manage unexpected issues.
-
Testing: Implement comprehensive testing strategies, including stress tests and real-world scenarios, to ensure the system remains reliable under various conditions.
Check out the common system design interview questions.
Building blocks for reliability
Reliability means the system gives the right answer every time, not only an answer.
A checksum is a small value computed from a piece of data and stored with it. When the data is read back, the checksum is computed again. If the two differ, the data was corrupted, and the system reads another copy instead. Lesson: What is Checksum?.
A quorum is the minimum number of servers that must agree before a write counts as done. It stops two halves of a system from accepting conflicting writes. Lesson: What is Quorum?.
In the leader and follower pattern, one server (the leader) accepts all writes and the others (followers) copy from it, so there is always one agreed order of changes. Lesson: What is Leader and Follower Pattern?.
ACID transactions in a SQL database guarantee that a group of changes either all happen or none do. That is what "correct every time" means for money and inventory. Lesson: ACID vs BASE Properties.
4. Performance
Performance refers to the efficiency of your system in processing tasks.
Good performance means the system can handle operations swiftly and use resources efficiently, especially under heavy loads.
Example
Think of it like a fast-food restaurant during the lunch rush; how efficiently it can serve all customers without compromising food quality.
Implementation Tips
-
Optimize Code and Databases: Ensure your code is clean and optimized. Also, use efficient queries and database indexing.
-
Load Balancing: Distribute work evenly across your system so that no single part becomes overwhelmed.
Check out the System Design Tutorial for Beginners.
Building blocks for performance
Performance is about doing less work per request, and doing it closer to the user.
A cache keeps a copy of frequently read data in fast memory, so most reads never touch the database. Lesson: Introduction to Caching. Deciding when a cached copy is out of date (cache invalidation) is the hard part. Lesson: Cache Invalidation.
A content delivery network (CDN) stores static files on servers around the world and serves each user from the nearest one. Lesson: What is CDN?.
A database index is a lookup structure that finds rows without scanning the whole table. It is the single biggest fix for a slow query. Lesson: How a B-Tree Index Works.
For real-time features, the choice between long-polling, WebSockets, and server-sent events decides how quickly updates reach the browser and how much load they add. Lesson: Long-Polling, WebSockets, and Server-Sent Events.
Which building block serves which pillar
Most parts serve more than one pillar. The table shows the main pillar each one serves, the pillar it also helps, and where the course teaches it.
| Building block | Main pillar | Also helps | Course lesson |
|---|---|---|---|
| Load balancer | Scalability | Availability | Introduction to Load Balancing |
| Data partitioning (sharding) | Scalability | Performance | Introduction to Data Partitioning |
| Message queue | Scalability | Reliability | Introduction to Messaging System |
| API gateway | Scalability | Performance | Introduction to API Gateway |
| Redundancy and replication | Availability | Reliability | What is Replication? |
| Heartbeat | Availability | Reliability | What is Heartbeat? |
| DNS failover | Availability | DNS Load Balancing and High Availability | |
| Rate limiter | Availability | Reliability | What Is Rate Limiting |
| Checksum | Reliability | What is Checksum? | |
| Quorum | Reliability | Availability | What is Quorum? |
| Leader and follower | Reliability | Scalability | What is Leader and Follower Pattern? |
| Cache | Performance | Scalability | Introduction to Caching |
| CDN | Performance | Availability | What is CDN? |
| Database index | Performance | What are Indexes? |
Final Thoughts
Scalability, availability, reliability, and performance are the four qualities every system is judged by. Each one is served by a small set of building blocks, and system design is choosing the right ones for the problem in front of you.
The System Design Fundamentals course teaches each building block in its own chapter, in the order above, with a flashcards review and a quiz at the end of each chapter. Take it first if these parts are new to you. Then move on to Grokking the System Design Interview for the interview method and real design problems.
FAQs
Q1. What are the 4 pillars of system design?
- Scalability: The ability of a system to handle growth smoothly in users or data. A scalable design can expand without slowing down or crashing. For example, scalability is like adding more or bigger buses so that more passengers can travel without delays.
- Availability: Ensuring the system is operational and accessible almost all the time, minimizing downtime. Think of a supermarket that stays open 24/7, no matter when you visit, it's always open. Similarly, a highly available system is up whenever users need it.
- Reliability: The consistency and correctness of the system's operations. A reliable system can be trusted to deliver the right results every time. It's like a calculator that always gives correct results, whether for simple additions or complex equations.
- Performance: How efficiently and fast the system executes tasks, especially under heavy load. Good performance means quick response times and optimal resource usage. Imagine a fast-food restaurant during the lunch rush, efficiently serving many customers without sacrificing quality, that's analogous to a high-performance system.
Q2. Why are these pillars important in system design interviews?
System design interviews focus on your ability to build realistic, scalable architectures, so interviewers expect you to consider these pillars in your solutions. Modern software systems need to scale to millions of users, stay reliable and available, and perform well under stress. Thus, demonstrating an understanding of scalability, availability, reliability, and performance shows that you can design systems that would work in the real world. In an interview, if you ignore one of these aspects, your design might have a critical blind spot. By addressing each pillar (discussing how your design handles growth, failures, performance bottlenecks, etc.), you prove that you have a well-rounded, holistic approach to system design. These pillars essentially serve as key evaluation criteria, showing awareness of all four convinces the interviewer that you can think like an architect and not just a coder.
Q3. How do these pillars relate to real-world systems?
Each pillar corresponds to a crucial quality of real-world software systems:
- Scalability: Real-world applications (like social networks or online stores) must handle ever-increasing users and data. For instance, a social media platform should be designed to seamlessly go from thousands to millions of users by adding more servers or optimizing components.
- Availability: Services we rely on (e.g. email, online banking, e-commerce sites) need to be up 24/7. High availability is achieved through strategies like redundancy and failover, ensuring that even if some parts fail, the service remains accessible. This is vital because downtime in a real system can mean lost revenue and user trust.
- Reliability: In production, software must function correctly even under unexpected conditions. Consider a payment processing system, it must process transactions accurately every time. Techniques like thorough testing, error handling, and replication help real systems meet reliability requirements so users can trust the results.
- Performance: Users expect fast load times and quick interactions. Real-world systems use performance optimizations like caching, database indexing, and load balancing to ensure snappy responses, even during peak usage. For example, an online shop should handle a surge of traffic on Black Friday without slowing to a crawl.
In practice, these pillars are the foundation of robust system architecture. Companies like Google or Amazon design their services with all four in mind, they build systems that can grow, rarely go down, operate correctly, and respond quickly. When you design with these pillars, you're aligning with the same principles that make real-world software successful.
Q4. Do I need to master all four pillars to pass a system design interview?
You don't need to be a world-class expert in each pillar, but you should have a solid understanding of all four and address them appropriately in your design. Interviewers aren't looking for deep academic knowledge on every topic, rather, they want to see that you consider each of these aspects and make reasonable trade-offs in your design. For example, if asked to design a web application, you might discuss how to scale it for more users, how to keep it running if a server crashes, how to ensure data is correct, and how to keep response times low. You might not dive into extreme detail on every pillar, but touching on each shows a balanced approach. Remember, system design is often about trade-offs: sometimes you enhance one pillar at the cost of another (e.g. adding redundancy for availability might add a bit of complexity or cost). The key is to demonstrate awareness of all four pillars and to prioritize the ones most relevant to the given problem. If you can show that you understand the basics of scalability, availability, reliability, and performance, and can discuss how your design addresses each, you'll greatly improve your chances of success in the interview.
Q5. Which building blocks serve each pillar?
Load balancers, sharding, and message queues serve scalability. Redundancy, replication, heartbeats, and DNS failover serve availability. Checksums, quorums, leader and follower replication, and ACID transactions serve reliability. Caches, CDNs, and database indexes serve performance. Most parts help more than one pillar; the table above lists the main one for each.
Related Reading
- System Design Fundamentals: 25 core concepts
- System Design Tutorial for Beginners
- System Design Cheat Sheet
- System Design Fundamentals course
Related questions
- What does scalability mean in system design and what are the different ways to scale a system (vertical vs. horizontal)?
- What is scalability in a distributed system?
- What techniques ensure fault tolerance in system design (redundancy, replication, failover)?
- What is Redundancy?
- What is tail latency and why is minimizing it important for user experience in large systems?
- How to Handle High Throughput Requirements in System Design Interviews
- What is connection pooling (for databases or threads) and how does it improve system performance and resource utilization?
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