# system-design-interview Published articles for system-design-interview. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Mobile System Design Interview book DevFeed: [Mobile System Design Interview book]() Original publisher: [Read original article]() Author: Manuel Vivo Published: 2025-06-17T00:00:00Z Content type: article Language: en Sources: [Manuel Vivo .dev]() Topics: [Mobile](), [App](), [Android](), [iOS](), [Optimization](), [data](), [Library]() Tags: [android](), [app](), [architecture](), [book](), [case-studies](), [cheat-sheet](), [data](), [interviews](), [ios](), [library](), [mobile](), [optimization](), [performance](), [system-design](), [system-design-interview]() ### AI overview A promotional article for the book Mobile System Design Interview, which teaches a framework for answering mobile system design interview questions across Android and iOS. It covers case studies, architecture trade-offs, offline synchronization, performance optimization, scalable data flow, and seven solved design questions. ### Source excerpt Now available with doorstep delivery 🛒✨ https://geni.us/bbg-msd ## System Design Interview Framework DevFeed: [System Design Interview Framework]() Original publisher: [Read original article]() Author: Evan King Published: 2024-11-19T21:39:41Z Content type: tutorial Language: en Sources: [Evan King]() Topics: [Requirements](), [structure](), [systems](), [Framework](), [client]() Tags: [approach](), [framework](), [interview](), [requirements](), [structure](), [system-design-interview](), [systems]() ### AI overview A practical framework for system design interviews that emphasizes delivering a working system. It recommends spending about five minutes clarifying and prioritizing functional and non-functional requirements, with examples involving Twitter and a cache. ### Source excerpt From the co-founder of www.hellointerview.com The easiest way to sabotage your chances of getting an offer in your system design interview is to fail to deliver a working system. This is the most common reason that mid-level candidates fail these interviews. While a firm structure to your approach is important and your interviewer is not trained specifically to assess you on your delivery (often this gets bucketed into "communication"), in practice we've seen many candidates that perform significantly better by following a structure which both keeps them from getting stuck and ensures they deliver a working system. Requirements (~5 minutes) The goal of the requirements section is to get a clear understanding of the system that you are being asked to design. To do this, we suggest you break your requirements into two sections. 1) Functional Requirements Functional requirements are your "Users/Clients should be able to..." statements. These are the core features of your system and should be the first thing you discuss with your interviewer. Oftentimes this is a back and fourth with your interviewer. Ask targeted questions as if you were talking to a client, customer, or product manager ("does the system need to do X?", "what would happen if Y?") to arrive at a prioritized list of core features. For example, if you were designing a system like Twitter, you might have the following functional requirements: Users should be able to post tweets Users should be able to follow other users Users should be able to see tweets from users they follow A cache meanwhile might have requirements like: Clients should be able to insert items Clients should be able to set expirations Clients should be able to read items Keep your requirements targeted! The main objective in the remaining part of the interview is to develop a system that meets the requirements you've identified -- so it's crucial to be strategic in your prioritization. Many of these systems have hundreds of features, but it ## DynamoDB For System Design Interviews DevFeed: [DynamoDB For System Design Interviews]() Original publisher: [Read original article]() Author: Evan King Published: 2024-11-19T21:30:02Z Content type: tutorial Language: en Sources: [Evan King]() Topics: [DynamoDB](), [Amazon Web Services](), [NoSQL](), [Database](), [Transactions](), [Provisioning](), [Application Development](), [configuration](), [Learning](), [vendor lock-in]() Tags: [aws](), [configuration](), [data-storage](), [database](), [dynamodb](), [learning](), [nosql](), [provisioning](), [system-design-interview](), [transactions]() ### AI overview This tutorial explains DynamoDB for system design interviews. It covers DynamoDB's managed operation, scalability, key-value and NoSQL data model, transaction support, lack of open-source internals, and practical considerations including vendor lock-in and whether interviewers permit its use. ### Source excerpt By the Co-founder of www.hellointerview.comIntro DynamoDB is a fully-managed, highly scalable, key-value service provided by AWS. Cool, buzz-words. But what the hell does that mean and why does it matter? Fully-Managed -- This means that AWS takes care of all the operational aspects of the database. The fully-managed nature allows AWS to handle all operational tasks -- hardware provisioning, configuration, patching, and scaling -- freeing developers to concentrate on application development. Highly Scalable -- DynamoDB can handle massive amounts of data and traffic. It automatically scales up or down to adjust to your application's needs, without any downtime or performance degradation. Key-value -- DynamoDB is a NoSQL database, which means it doesn't use the traditional relational database model. Instead, it uses a key-value model that allows for flexible data storage and retrieval. The moral of the story is that DynamoDB is a super easy to use and can scale to support a wide variety of applications. For system design interviews in particular, it has just about everything you'd ever need from a database. It even supports transactions now! Which neutralizes one of the biggest criticisms of DynamoDB in the past. Importantly, DynamoDB is not open-source, so we can't as easily describe its internals like we did with breakdowns of open source technologies like Kafka and Redis. Instead, we'll focus more on you interact with it. In order to look under the hood, we'll rely on the limited information AWS provides via documentation and the DynamoDB Whitepaper. In this deep dive, we'll break down exactly what you need to know about DynamoDB in order to field any question about it in a system design interview. Along the way, you'll also acquire practical learning that you can later apply in your own projects. Let's break it down! Candidates often ask me, "am I even allowed to use DynamoDB in an interview?"The answer is simple, ask your interviewer! Many will say yes, and just expec ## Kafka for System Design Interviews DevFeed: [Kafka for System Design Interviews]() Original publisher: [Read original article]() Author: Evan King Published: 2024-07-01T03:18:09Z Content type: tutorial Language: en Sources: [Evan King]() Topics: [Kafka](), [Apache-Kafka](), [Event-Streaming](), [stream-processing](), [Scalability](), [data]() Tags: [apache-kafka](), [distributed](), [durability](), [google](), [high-performance](), [kafka](), [meta](), [open-source](), [real-time](), [scalability](), [stream-processing](), [system-design-interview]() ### AI overview A tutorial on Apache Kafka for system design interviews. It explains Kafka as an open-source distributed event streaming platform that can function as a message queue or stream processing system, then uses a real-time sports statistics example to discuss producers, consumers, scaling, and event ordering. ### Source excerpt By the Co-founder of www.hellointerview.comIntro There is a good chance you've heard of Kafka. It's popular. In fact, according to their website, it's used by 80% of the Fortune 100. If it's good enough to help scale the largest companies in the world, it's probably good enough for your next system design interview. In fact, it's one of the top 5 technologies we see used in design interviews. Apache Kafka is an open-source distributed event streaming platform that can be used either as a message queue or as a stream processing system. Kafka excels in delivering high performance, scalability, and durability. It's engineered to handle vast volumes of data in real-time, ensuring that no message is ever lost and that each piece of data is processed as swiftly as possible. In this deep dive, we're going to take a top down approach. Starting with a zoomed out view of Kafka and progressing into more and more detail. If you know the basics, feel free to skip ahead to the more advanced sections. A Motivating Example It's the World Cup (my personal favorite competition). And we run a website that provides real-time statistics on the matches. Each time a goal is scored, a player is booked, or a substitution is made, we want to update our website with the latest information. Events are placed on a queue when they occur. We call the server or process responsible for putting these events on the queue the producer. Downstream, we have a server that reads events off the queue and updates the website. We call this the consumer. Now, imagine the World Cup expanded from just the top 48 teams to a hypothetical 1,000-team tournament, and all the games are now played at the same time. The number of events has increased significantly, and our single server hosting the queue is struggling to keep up. Similarly, our consumer feels like it has its mouth under a firehose and is crashing under the load. We need to scale the system by adding more servers to distribute our queue. But how do we e ## Top Meta Software Engineer System Design & Product Architecture Interview Questions 2024 DevFeed: [Top Meta Software Engineer System Design & Product Architecture Interview Questions 2024]() Original publisher: [Read original article]() Author: Evan King Published: 2024-05-16T00:34:59Z Content type: tutorial Language: en Sources: [Evan King]() Topics: [Architecture & Design](), [Software](), [coding]() Tags: [architecture](), [architecture-design](), [blog-post](), [interview](), [interview-questions](), [interview-tips](), [meta](), [software-engineer](), [software-engineering](), [system-design-interview]() ### AI overview A former Meta Staff engineer and interviewer presents commonly asked Meta system design and product architecture interview questions. The article distinguishes the two interview types and advises readers to study the underlying concepts and problem-solving frameworks rather than memorize answers. ### Source excerpt I'll cut to the chase, my names Evan, I am a former Meta Staff engineer and interviewer. I've been putting together breakdowns of common problems asked across the top FAANGs. When it comes to the Meta design interview, they let you choose between a System Design interview and a Product Architecture interview. Not sure what the difference is? Checkout this blog post I wrote on the topic. But anyway, I know what you're here for. In my experience, here are the questions that are most commonly asked for each interview type. Read the linked breakdowns, definitely, but these aren't interviews where you can just memorize an answer key, so don't treat them as such. Use them to learn the underlying concepts and frameworks for tackling these types of problems. System Design Design an Ad Click Aggregator Design a Top K Service Design Memcached Design FB Live Comments Design TAO Design Uber Design Ticketmaster Design a Distributed Job Scheduler Product Architecture Design Ticketmaster Design Uber Design IG Auction Design Dropbox Design Newsfeed Design Facebook i18n Design Just the UX and APIs for Newsfeed Design Leetcode Design Messenger