Stop Reading About System Design.
Start Building It.

"Usually, prep sites stop at high-level blocks. ScaleDojo goes down to the API specs, payload structures, and LLD table indexes. Designing microservices visually while specifying route constraints and database schemas feels incredibly close to actual design reviews we do internally. Excellent resource for anyone targeting Senior/Staff loops."

"It helped me implement those concepts in practice. Really helpful tool. I highly recommend this platform if you are in the computer science field."

"I've recently started using ScaleDojo's System Design Lab, and honestly, it's been a fun way to learn system design beyond just reading theory. What I like most is being able to build an architecture, connect different components, and see how everything works together. Its easier to understand not just how things work, but also why we make certain design decisions and what trade-offs come with them. Looking forward to exploring more scenarios, making mistakes, and learning along the way. 🚀"

"This tutorial website is an absolute lifesaver for mastering system design! It breaks down highly complex distributed systems architectures into clear, bite-sized, and beginner-friendly concepts. What makes it stand out is the perfect balance between deep-dive theory and practical, real-world case studies (like scaling Netflix or designing Twitter). The visual diagrams are incredibly sharp, making abstract concepts like load balancing, sharding, and caching instantly click."

"When I was preparing for my Google placement while in college, LeetCode was already a huge part of my DSA preparation. Hundreds of problems. Instant feedback. A clear way to know where I stood. System Design never really had that kind of practice loop. I read blogs, watch videos to understand caching, databases, queues, load balancers and all the usual concepts. But when I had to actually design a system myself, I kept getting stuck on the same questions: Why this database? Why a queue here? What happens when traffic goes 10x? What breaks first? That's when I realised that knowing System Design and actually designing a system are two very different things. Recently, a junior from IIT Ropar reached out asking me for System Design resources. While looking for something useful to send to her, I came across ScaleDojo."

"After working as SDE III at Google and mentoring a bunch of engineers through mock system design interviews, there's one thing I keep running into. So many of them can explain almost every concept I throw at them. Caching? Check. Sharding? Check. Message queues, load balancing? They knew it all. So I'd tweak the question a little. "Why this approach, for this problem, and not some other alternatives?" Silence. Almost every time. Not because they didn't know the concepts. Because knowing what something does and knowing when to reach for it are two different skills, and only one actually gets tested in the room. Most of us prepare by consuming, videos, blogs, case studies on how Uber or Netflix solved something at scale. Eventually you start recognising patterns. But recognising a pattern is one thing. Defending it under pressure, live, with someone pushing back on every choice, is a lot harder. Should you cache here, or does it add complexity you don't actually need? Would relational hold up, or does this genuinely need NoSQL? Honestly, you only find that out by making the call yourself, getting it wrong once, and sitting with why. That's what grabbed my attention when I tried ScaleDojo. 👩‍💻 I opened the Architecture Lab, worked through the requirements, and designed the system within a budget. Then I threw it into Murphy's Lab, simulated real traffic, and watched my own design start to crack under it. I fixed what broke, submitted it, and got an AI backed review, not just on whether the diagram looked complete, but on whether the thinking behind it actually held up. That's the part I think most prep misses, treating this like something you memorise rather than something you get comfortable being wrong about first. That's the kind of practice I'd want more engineers to experience through scaledojo.dev ✌️"

"I had a great experience using this system design website. The content is well-structured, easy to understand, and covers concepts in a practical way. It’s especially helpful for preparing for system design interviews and improving overall architectural thinking. Highly recommended!"

"It's really amazing to see something like this like I'm preparing something for a real interview It is helping me a lot so yeah end up Murphy's lab is also great to see the how the system is actually behaving under load spikes we flash types of simulation that's absolutely great"

"I'm really impressed with ScaleDojo. The hands-on approach to learning system design, instant architecture reviews, detailed scoring, and intuitive interface make practicing distributed systems enjoyable and highly educational. This is one of the most innovative learning platforms I've used."

"The app is good. so far solved two HLD problems and it was great. The levelling up and the type of problems in each level is good. good progressive levelling"

"Usually, prep sites stop at high-level blocks. ScaleDojo goes down to the API specs, payload structures, and LLD table indexes. Designing microservices visually while specifying route constraints and database schemas feels incredibly close to actual design reviews we do internally. Excellent resource for anyone targeting Senior/Staff loops."

"It helped me implement those concepts in practice. Really helpful tool. I highly recommend this platform if you are in the computer science field."

"I've recently started using ScaleDojo's System Design Lab, and honestly, it's been a fun way to learn system design beyond just reading theory. What I like most is being able to build an architecture, connect different components, and see how everything works together. Its easier to understand not just how things work, but also why we make certain design decisions and what trade-offs come with them. Looking forward to exploring more scenarios, making mistakes, and learning along the way. 🚀"

"This tutorial website is an absolute lifesaver for mastering system design! It breaks down highly complex distributed systems architectures into clear, bite-sized, and beginner-friendly concepts. What makes it stand out is the perfect balance between deep-dive theory and practical, real-world case studies (like scaling Netflix or designing Twitter). The visual diagrams are incredibly sharp, making abstract concepts like load balancing, sharding, and caching instantly click."

"When I was preparing for my Google placement while in college, LeetCode was already a huge part of my DSA preparation. Hundreds of problems. Instant feedback. A clear way to know where I stood. System Design never really had that kind of practice loop. I read blogs, watch videos to understand caching, databases, queues, load balancers and all the usual concepts. But when I had to actually design a system myself, I kept getting stuck on the same questions: Why this database? Why a queue here? What happens when traffic goes 10x? What breaks first? That's when I realised that knowing System Design and actually designing a system are two very different things. Recently, a junior from IIT Ropar reached out asking me for System Design resources. While looking for something useful to send to her, I came across ScaleDojo."

"After working as SDE III at Google and mentoring a bunch of engineers through mock system design interviews, there's one thing I keep running into. So many of them can explain almost every concept I throw at them. Caching? Check. Sharding? Check. Message queues, load balancing? They knew it all. So I'd tweak the question a little. "Why this approach, for this problem, and not some other alternatives?" Silence. Almost every time. Not because they didn't know the concepts. Because knowing what something does and knowing when to reach for it are two different skills, and only one actually gets tested in the room. Most of us prepare by consuming, videos, blogs, case studies on how Uber or Netflix solved something at scale. Eventually you start recognising patterns. But recognising a pattern is one thing. Defending it under pressure, live, with someone pushing back on every choice, is a lot harder. Should you cache here, or does it add complexity you don't actually need? Would relational hold up, or does this genuinely need NoSQL? Honestly, you only find that out by making the call yourself, getting it wrong once, and sitting with why. That's what grabbed my attention when I tried ScaleDojo. 👩‍💻 I opened the Architecture Lab, worked through the requirements, and designed the system within a budget. Then I threw it into Murphy's Lab, simulated real traffic, and watched my own design start to crack under it. I fixed what broke, submitted it, and got an AI backed review, not just on whether the diagram looked complete, but on whether the thinking behind it actually held up. That's the part I think most prep misses, treating this like something you memorise rather than something you get comfortable being wrong about first. That's the kind of practice I'd want more engineers to experience through scaledojo.dev ✌️"

"I had a great experience using this system design website. The content is well-structured, easy to understand, and covers concepts in a practical way. It’s especially helpful for preparing for system design interviews and improving overall architectural thinking. Highly recommended!"

"It's really amazing to see something like this like I'm preparing something for a real interview It is helping me a lot so yeah end up Murphy's lab is also great to see the how the system is actually behaving under load spikes we flash types of simulation that's absolutely great"

"I'm really impressed with ScaleDojo. The hands-on approach to learning system design, instant architecture reviews, detailed scoring, and intuitive interface make practicing distributed systems enjoyable and highly educational. This is one of the most innovative learning platforms I've used."

"The app is good. so far solved two HLD problems and it was great. The levelling up and the type of problems in each level is good. good progressive levelling"