Microservices vs Monolithic Architecture for System Design Interview

Microservices vs Monolithic architecture

image_credit - DesignGuru

Hello friends, if you are preparing for a System design interview, then you must have come across questions on Microservices architecture.

In the last few articles, I have answered popular System design questions like API Gateway vs Load Balancer and Horizontal vs Vertical Scaling, Forward proxy vs reverse proxy, and today, I will answer another interesting System design question, *"difference between monolith and Micro service architecture?".

With the growing popularity of Microservices, I am seeing more and more questions from Microservices on System Design Interviews, and this is one of the starter questions.

In system design interviews, understanding the difference between microservices and monolithic applications is crucial. While monolithic architectures offer simplicity and ease of development, microservices provide scalability, flexibility, and resilience through their distributed nature and modular design.

For example, in the case of monolith architecture, your entire application is packaged and deployed together, while in the case of Microservices architecture, an application is broken into a collection of small, independent services that communicate with each other over a network, mostly over HTTP.**

Each service is responsible for a specific business capability and can be developed, deployed, and scaled independently. This makes it easier to make changes to the application without affecting other parts of the system.

Microservices also enable applications to be developed and deployed faster, and they are better suited to large and complex applications where different parts of the application may need to evolve at different speeds.

By the way, Microservices are not a silver bullet, there are debugging and troubleshooting issues with Microservices because application log files are scattered across multiple services.

Also, for a latency-sensitive application, Microservices is not a good choice because it increases latency.

Now that we are familiar with the basic idea of Microservices and Monolithic architecture, it's time to dive deep and see the pros and cons of both software architectures.

By the way, if you are in a hurry, then the diagram from DesignGurus.io, one of the best resources for system design interviews and creator of Grokking the System Design Interview nicely explains it; he even added a comparison to serverless architecture:

Microservices vs Monolithic architecture

And, if you are preparing for a System design interview, along with Design Guru, Educative, ByteByteGo, and Exponent are great resources to further improve your preparation.


Difference between Monolithic vs Microservices Architecture

Now that you have a basic idea of what Microservices offer in terms of Monolithic applications, it makes sense to deep dive and find out more technical differences between these two architecture style to build software applications.

Here are the key differences, advantages, and disadvantages of Monolithic and Microservices architecture:

1. Deployment and Management

Monolithic applications are simple to deploy and manage, since all components are included in a single package, but Microservices are complex to deploy and manage, since each service is deployed independently and must communicate with other services over a network.

Microservice architecture also have increased operational overhead, as each service must be deployed, monitored, and managed individually.

Monolithic vs Microservices

2. Easy to Understand

In the case of Monolithic architecture its easy to understand the entire system, since all components are integrated tightly, while its difficult to understand the flow in Microservices because of multiple services.


3. Debugging

Monolithic applications are easier to debug as compared to Microservices because the entire application runs in a single process, while Debugging can be more difficult in Microservice architecture, since issues can span multiple services.

For example, if data is updated in one service it can have origin in some other service like authentication or authorization


4. Development

Microservices promote flexible development and are better suited to large and complex applications where different parts of the application may need to evolve at different speeds.

While Microservices are better suited for small, latency sensitive application. In short, Microservices enable faster development and deployment, since services can be developed and deployed independently.

Microservices vs Monolithic architcture


5. Coupling

In the case of Monolithic architecture, components are tightly coupled, which makes it difficult to make changes to the application without causing unintended consequences, while microservices promote low coupling.

It's also easier to make changes to the application, since each service is responsible for a specific business capability.


6. Maintainence

Monolithic applications are easier to start but difficult to maintain. As the application grows, the code base becomes larger and more complex, making it harder to maintain.

On the other hand, Microservices are easier to maintain as you can make changes in one service without deploying other services.


7. Performance and Scalability

Microservice architecture allows for better scalability and performance improvement, since each service can be scaled independently, while performance bottlenecks can easily happen in a monolithic application, since all components share the same resources.

Monolithic an Microservices architecture difference

In short, while monolithic architectures offer simplicity and ease of development, microservices provide scalability, flexibility, and resilience through their distributed nature and modular design. So both have their places.

And, here is also a nice diagram to highlight the difference between API Gateway and Load Balancer from ByteByteGo, one of the best places to prepare for System design interviews

Difference between Microservices and Monolithic applications


That's all about difference between Microservices and monolithic architecture and applications. As I said, monolithic architecture is simpler and easier to deploy and manage, but is less flexible and harder to change. Microservices architecture is more flexible and easier to change, but is more complex and harder to deploy and manage.

While Microservices is latest trend in Software development, and a well-designed microservices architecture can provide benefits such as scalability and faster development, especially on the cloud, it requires a more complex deployment and management infrastructure.

On the other hand, a well-designed monolithic architecture can provide benefits such as simpler deployment and easier debugging, but can become more difficult to change as the application grows.

This is a really useful concept for System design interviews, especially Microservice architecture, and you shouldn't miss out on that. For better preparation, I also suggest checking out sites like DesignGurus, Educative, ByteByteGo, and Exponent, all of which are great resources for tech interview preparation, particularly System design. 

    Forward Proxy vs Reverse Proxy in System design

    Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.

    what is forward proxy and reverse proxy

    image_credit - DesignGurus.io


    Hello folks, in last few article, I was answering popular System design questions like API Gateway vs Load Balancer and Horizontal vs Vertical Scaling, and today, we are going to take a look at another interesting System design question, Reverse Proxy vs Forward Proxy.

    These questions are different than system design problems like how to design WhatsApp and YouTube but they are equally important and if you have knowledge of them you can mention in most of the system design problems.

    Now coming back to the topic, In network architecture world, proxies play a pivotal role in managing and securing communication between clients and servers.

    There are two common types of proxies, forward and reverse proxies, they serve distinct purposes and operate at different layers of the networking stack. Forward proxies are used to shield clients from external networks while Reverse proxy acts as a frontend Facade for backend Servers, much like API Gatewawy and load balancers.

    Let's go deep into the intricacies of forward and reverse proxies to know their differences and understand their respective roles in system design.

    By the way, if you are in hurry then below diagram from DesignGuru.io, one of the best resource for system design interviews and creator of Grokking the System Design Interview nicely explain it:

    Forward proxy vs reverse proxy


    What is Forward Proxy?

    A forward proxy, also known as an outbound proxy, acts as an intermediary between clients and external servers, intercepting outbound requests from clients and forwarding them to their intended destinations.

    Here is what forward proxies do for you:

    1. Client-Side Proxying
      Forward proxies are typically deployed on the client side of a network, serving as a gateway for outbound traffic. Clients configure their network settings to route traffic through the forward proxy, which then forwards requests to external servers on behalf of the clients.

    2. Anonymity and Privacy
      Forward proxies can enhance user privacy and anonymity by masking the IP addresses of clients. External servers only see the IP address of the forward proxy, making it difficult to trace the origin of requests back to individual clients.

    3. Content Filtering and Caching
      Forward proxies can implement content filtering policies to restrict access to certain websites or content categories based on predefined rules. Additionally, they can cache frequently accessed content, reducing bandwidth usage and improving performance for subsequent requests.

    4. Security and Access Control
      Forward proxies can also enforce security policies and access controls, allowing organizations to regulate access to external resources, block malicious websites, and inspect outbound traffic for threats or policy violations.

    You can see in the diagram below that the forward proxy routes user requests to back-end servers

    By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGoDesign GuruExponentEducativeCodemia.iobugfree.ai and Udemy which have many great System design courses

    what is forward proxy

    Now that we know what a forward proxy is let's take a look at a reverse proxy and what services it provides:


    What is a Reverse Proxy?

    A reverse proxy, also known as an inbound proxy, operates on the server side of a network, serving as a front-end facade for backend servers.

    It intercepts incoming requests from clients and forwards them to the appropriate back-end servers based on predefined rules.

    Key aspects of reverse proxies include:

    1. Server-Side Proxying
      Reverse proxies are deployed on the server side of a network, typically in front of backend web servers or application servers. They accept incoming requests from clients on behalf of backend servers and forward them internally.

    2. Load Balancing and Traffic Distribution
      Reverse proxies can distribute incoming traffic across multiple backend servers to improve scalability, reliability, and performance. They use algorithms such as round-robin, least connections, or weighted distribution to evenly distribute requests.

    3. SSL Termination and Encryption
      Reverse proxies can handle SSL/TLS termination, offloading the encryption and decryption process from backend servers. This simplifies management of SSL certificates and improves performance by reducing the computational overhead on backend servers.

    4. Content Delivery and Optimization
      Reverse proxies can cache static content, compress data, and optimize delivery to clients, reducing latency and bandwidth usage. They can also perform content rewriting or transformation to adapt content for different client devices or browsers.

    Here is also a nice diagram which shows how reverse proxy work which is quite useful for system design interview, and if you are preparing for one, Educative.io's Modern System Design Guide is another awesome resource I recommend.

    How reverse proxy works


    Difference between Forward and Reverse Proxies and Use Cases

    While both forward and reverse proxies act as intermediaries in network communication, their primary objectives and deployment scenarios differ:

    For example, Forward proxy is primarily used to shield clients from external networks, enhance privacy and security, and enforce access controls and it's ideal for individual users, organizations, or networks requiring outbound traffic management and anonymity.

    On the other hand, Reverse Proxy is primarily used to front-end backend servers, improve scalability and performance, and provide centralized management of incoming traffic.

    It is ideal for web servers, application servers, or microservices architectures requiring load balancing, SSL termination, and content optimization.

    And, here is a nice diagram which highlights the difference between Forward Proxy and Reverse Proxy from ByteByteGo, one of the best places to learn System Design for interviews. If you are preparing for a system design interview, you should definitely check it out. They also have an awesome YouTube channel.

    difference between Forward Proxy and Reverse Proxy

    Conclusion

    In conclusion, both forward and reverse proxies are indispensable components in modern network architectures, each serving unique purposes and offering distinct capabilities.

    While forward proxies focus on client-side traffic management and security, reverse proxies excel at server-side load balancing, scalability, and optimization.

    Understanding their differences is essential for designing resilient, efficient, and secure systems that meet the diverse needs of modern applications and services.

    And, if you are preparing for a system design interview, then you may also like my previous articles

    By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGoDesign GuruExponentEducativeCodemia.iobugfree.ai and Udemy which have many great System design courses

    Thank you !!

      Difference between API Gateway vs Load Balancer in Software Design / Microservices Architecture

      Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.
      Difference between API Gateway vs Load balancerimage_credit - DesignGurus ,

      Hello folks, if you are preparing for System design interviews then you must have come across popular questions like difference between API Gateway vs Load Balancer, horizontal scalability vs vertical scaling, and Reverse Proxy vs Forward Proxy.

      Earlier, I have shared popular System design interview problems and in this article, I will answer the first question so that you not only can answer this question on interviews but also learn this important concept well.

      In the web services world and network infrastructure, two crucial components often come into play: API gateways and load balancers.

      While they both play critical roles in managing and optimizing traffic flow, they serve distinct purposes and operate at different layers of the technology stack.

      Understanding the difference between these two components is not just important for System design interview but also essential for designing robust and scalable architectures. Let's delve into the nuances of API gateways and load balancers to demystify their differences.

      But, let's first see what is API Gateway?

      Btw, here is also a nice diagram from DesignGurus ,, one of the best place to prepare for system design interviews. This diagram highlights the key difference between API Gateway and Load balancer

      By the way, If you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGoDesignGurus Exponent,  Educative bugfree.ai and Udemy which have many great System design courses.
      Difference between API Gateway vs Load balancer


      What is API Gateway? How does it work?

      An API gateway acts as a middleware component that sits between clients and backend services, providing a centralized entry point for accessing various endpoints and functionalities. 

      Its primary function is to facilitate communication, security, and management of APIs. Here are key aspects of API gateways:

      1. API Management
        API gateways offer features for managing APIs, including authentication, authorization, rate limiting, and caching. They serve as a control point for enforcing security policies and access control measures.

      2. Protocol Transformation
        API gateways can handle protocol translation, allowing clients to communicate with backend services using different protocols or message formats. This capability enhances interoperability in heterogeneous environments.

      3. Routing and Versioning
        With an API gateway, requests can be routed to the appropriate backend service based on predefined rules and configurations.

      Additionally, versioning support enables the coexistence of multiple API versions, ensuring backward compatibility and smooth migrations.

      1. Analytics and Monitoring API gateways provide insights into API usage, performance metrics, and error tracking. This visibility enables operators to monitor the health of APIs, identify bottlenecks, and optimize resource utilization.

      Here is a nice diagram of how API Gateway looks like:

      How API Gateway works


      What is Load Balancer? How it works?

      A load balancer acts as a traffic distributor, evenly distributing incoming requests across multiple backend servers or instances to optimize resource utilization, improve availability, and enhance performance. Here are key aspects of load balancers:

      1. Traffic Distribution
        Load balancers distribute incoming traffic across multiple backend servers or instances based on predefined algorithms such as round-robin, least connections, or weighted distribution. This ensures efficient utilization of resources and prevents overloading of individual servers.

      2. High Availability
        Load balancers enhance the availability of services by intelligently routing traffic away from unhealthy or overloaded servers. They perform health checks to monitor the status of backend instances and dynamically adjust traffic routing accordingly.

      3. Session Persistence
        In scenarios where maintaining session state is crucial, load balancers support session persistence or sticky sessions, ensuring that subsequent requests from the same client are directed to the same backend server. This ensures consistency and avoids session-related issues.

      4. SSL Termination
        Load balancers can offload SSL/TLS encryption and decryption, relieving backend servers from the computational overhead associated with SSL processing. This improves performance and simplifies management of SSL certificates.

      Here is how a load balancer look like and how it works:

      How Load Balancer works


      Difference between API Gateway and Load Balancer?

      While API gateways and load balancers share some similarities in terms of traffic management, their primary objectives and functionalities differ:

      • API Gateway: Focuses on API management, security, protocol transformation, and analytics. Ideal for exposing and managing APIs to external clients, enforcing access control policies, and providing a unified interface for diverse backend services.

      • Load Balancer: Primarily concerned with traffic distribution, high availability, and scalability. Suitable for distributing incoming traffic across multiple backend servers or instances to improve performance, reliability, and fault tolerance.

      Here is also a nice diagram to highlight the difference between API Gateway and Load Balancer from ByteByteGo, one of the best place to prepare for System design interviews

      difference between API Gateway and Load Balancer



      System Design Interview Preparation Resources

      If you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGoDesignGurus Exponent,  Educative bugfree.ai and Udemy which have many great System design  courses.

      And, If you need free system design courses you can also see this article which is full of free system design courses

      system design template




      Conclusion

      In summary, both API gateways and load balancers are fundamental components in modern network architectures, each serving distinct purposes and offering unique capabilities. 


      While API gateways specialize in API management and security, load balancers excel at distributing traffic for improved availability and scalability. 


      Understanding their differences is essential for designing resilient and efficient systems that meet the evolving demands of modern applications and services.

        Top 8 System Design Interview Problems and Solutions for Practice

        Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.


        cover image_credit --- Educative

        Hello friends, System design is one of the biggest hurdle in getting job at Amazon, Google, or Netflix, and most of the startups. I have seen many experienced developer with years of experience in their resume falling apart in this round because of lack of preparation and knowledge.

        That's why its extremely important to prepare well for interviews and its best to prepare the frequently asked System design problems like how to design YouTube, and how to design WhatsApp to start with.

        By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGoDesignGuruExponentEducative Codemia.io, Bugfree.ai, and Udemy which have many great System design courses and if you need free system design courses you can also see the below article.

        Here are my favorite System design problems you can also use to start with, I have also linked to detailed article where you can find solution but I suggest you try on your own before looking at them:

        My Favorite System Design Problems to Crack Interview
        image_credit --- bytebytego

        Top 6 System Design Interview Problems for Practice

        Here a couple of my favorite System design questions to learn essential System design concepts and principles

        1. Design YouTube or any other video Streaming service like Netflix, HBO, or Amazon Prime Video(Solution)

        We all have used YouTube and best thing about this question is that we all are familiar with most of functionality but when it comes to designing them its tricky but since we are only considering about technical aspect and not functional.

        Designing a video streaming service akin to YouTube, Netflix, or Amazon Prime Video involves a multifaceted approach encompassing various components to ensure seamless content delivery, user engagement, and scalability.

        Commencing with user authentication and authorization, the system would employ secure methods like OAuth to safeguard user accounts. The heart of the service would be a highly scalable and distributed video content delivery network, optimizing for low latency and high-quality streaming.

        The platform would support various video formats and resolutions, dynamically adjusting based on the viewer's internet connection.

        For content organization and discovery, a robust recommendation engine would be implemented, leveraging machine learning algorithms to analyze user preferences and serve personalized content suggestions. A comprehensive search functionality and categorization system would enhance content discoverability.

        User interaction features would include comments, likes, and share options, fostering community engagement. Additionally, a notification system would keep users informed about new uploads, comments, and recommendations.

        Monetization strategies such as subscription plans, ad-based revenue, or a combination of both could be integrated, ensuring a sustainable business model.

        Security measures would be paramount, encompassing encryption for secure video transmission, protection against content piracy, and measures to prevent unauthorized access. Digital rights management (DRM) would be implemented to control content distribution rights.

        Cross-platform availability is essential, necessitating native applications for various devices and a responsive web interface. Real-time analytics tools would provide insights into user behavior, allowing for continuous improvement and strategic decision-making.

        To handle potential spikes in demand, the server infrastructure should be designed for scalability, with a robust content delivery network and load balancing mechanisms.

        Regular backups and a recovery system would ensure data integrity and availability, even in the event of unforeseen incidents.

        In conclusion, a successful video streaming service would integrate secure user authentication, a powerful content delivery network, personalized recommendation systems, user engagement features, monetization strategies, and robust security measures to deliver a compelling and reliable streaming experience.

        This is a good question to start with. Think about different functions, scalability, performance and resiliency.

        If cannot solve see this solution for detailed discussion.

        My Favorite System Design Problems to Crack Interview

        image_credit --- bytebytego


        2. Design WhatsApp or any other chat system (Solution)
        To design an effective chat system, we would begin with a robust user authentication and authorization mechanism, leveraging secure methods like OAuth to ensure user login integrity.

        For message storage, a scalable and distributed database would be implemented, utilizing indexing for efficient chat history retrieval. Privacy would be a top priority, and thus end-to-end encryption, incorporating strong algorithms and key management systems, would safeguard user messages.

        Real-time communication would be facilitated through WebSocket or similar protocols, with push notifications ensuring timely message alerts. Multimedia support for file sharing, including images and documents, would be integrated with secure storage solutions.

        Group chat functionality would be designed to scale, with features such as member management, admin controls, and real-time synchronization.

        Voice and video calling capabilities would be realized through technologies like WebRTC, complemented by signaling servers for seamless call setup and teardown.

        A user-friendly interface, featuring typing indicators, read receipts, and emoticons, would enhance the overall user experience.

        Cross-platform availability is essential, requiring native applications for iOS and Android, along with a web-based version. A robust notification system, customizable preferences, and status updates would contribute to user engagement.

        Monitoring tools and analytics would be employed for performance tracking and user behavior insights, while backup and recovery mechanisms would ensure data integrity and availability in the face of potential failures.

        In essence, this comprehensive approach would result in a secure, scalable, and feature-rich chat system. It's quite like previous question, think about message distribution, recovery and scalability. If you get stuck see the solution here

        Design WhatsApp or any other chat system (Solution)

        image_credit --- bytebytego


        3. Designing a URL Shortening service like TinyURL (Solution)

        Creating a URL shortening service involves various components to ensure functionality, reliability, and user experience. Initially, a robust user authentication and authorization system would be implemented, employing secure methods such as OAuth for user logins.

        The core functionality would revolve around a scalable database to store original and shortened URLs efficiently, with considerations for indexing and retrieval speed.

        To generate short URLs, a unique algorithm or encoding method would be adopted, ensuring collision-free and concise representations.

        Additionally, implementing user-friendly features such as custom short URLs and URL expiration options could enhance the service's appeal.

        The system would prioritize real-time redirection, utilizing high-speed servers and caching mechanisms to minimize latency. URL analytics could be integrated to provide users with insights into link performance, tracking metrics like clicks, geographical data, and referral sources.

        To handle potential abuse or misuse, a comprehensive security layer would be in place, including measures against malicious links and spam.

        Cross-platform availability is crucial, necessitating a user-friendly web interface and APIs for integration into various applications. A notification system could be implemented to alert users about link activity or analytics updates.

        Considering the potential for heavy traffic, server infrastructure should be designed to scale dynamically. Regular backups and a recovery system would ensure data integrity, allowing for the restoration of data in case of system failures.

        In conclusion, a well-designed URL shortening service would combine secure user authentication, efficient link shortening algorithms, real-time redirection, insightful analytics, and robust security measures to deliver a seamless and reliable user experience.

        And, if you get stuck see the solution given in the link

        Designing a URL Shortening service like TinyURL

        If you need an alternative solution you can also checkout Codemia.io editorial solution for designing TinyURL, its completely free and probably the most complete solution of this problem including functional and non-functional requirement, back of envelop estimations, API design, database design, and much more.


        4. Designing Instagram (solution)

        Designing Instagram involves creating a scalable and feature-rich platform for photo and video sharing. The system would start with a secure user authentication mechanism, using technologies like OAuth for login.

        The core of the system would be a distributed database for storing user profiles, multimedia content, and engagement metrics.

        For media storage, a scalable and efficient solution like cloud storage could be employed, ensuring quick retrieval and low latency.

        Content delivery networks (CDNs) would optimize media distribution for users worldwide. The platform would support image and video formats, with adaptive streaming for different devices and network conditions.

        To enhance user engagement, a recommendation system based on machine learning algorithms could be implemented to provide personalized content suggestions.

        Social features such as likes, comments, and direct messages would be integral, fostering community interaction. Hashtags and a robust search system would improve content discoverability.

        Security measures would include end-to-end encryption for private messages, secure APIs, and content moderation tools to prevent the spread of inappropriate content. Access controls and user privacy settings would be paramount.

        Cross-platform availability is essential, necessitating native applications for iOS and Android, as well as a responsive web interface. Real-time notifications for likes, comments, and new followers would contribute to an engaging user experience.

        Scalability would be ensured through load balancing, caching mechanisms, and a distributed server infrastructure. Regular backups and a recovery system would safeguard against data loss or system failures.

        In conclusion, a successful Instagram system design would integrate secure authentication, scalable media storage, personalized recommendation systems, engaging social features, robust security measures, and a reliable infrastructure for seamless photo and video sharing.

        And, if you get stuck see the solution given in the link

        design instagram


        5. Design a Library Management System (Solution)

        Designing a Library Management System (LMS) involves implementing a user authentication system for library staff, utilizing secure methods like OAuth.

        The core of the system would feature a centralized database to manage books, borrowers, and transactions efficiently.

        The user interface would allow staff to add, update, and delete book records, check in/out books like these system design interview books, and track borrower information. A search functionality and categorization system would enhance book discoverability.

        Security measures would include user access controls and encryption for sensitive data. Automated notifications for overdue books and a reservation system could be incorporated for improved user experience.

        Cross-platform availability could be achieved through a web-based interface. Regular backups and a recovery system would ensure data integrity and if you get stuck see the solution here

        design a library management software


        6. Design a Parking Lot (Solution)

        Designing a parking lot involves creating a system with user authentication for attendants, a centralized database for vehicle records, and an intuitive user interface for managing parking spaces.

        The system would include features like entry/exit logging, real-time space availability updates, and online payment options. Security measures, such as surveillance cameras and access controls, would be implemented.

        Your solution should provide both high level and low level design, including API design and Database or table design.

        A mobile app or website could facilitate user reservations and provide navigation within the parking lot. Regular monitoring and maintenance would ensure optimal functionality, and a backup system would be in place for data recovery in case of system failures.

        And, if you get stuck see the solution here

        design a parking lot solution

        And, if you need another solution of this system design problem then you can also see Codemia.io's editorial solution for designing an efficient Parking Lot . It's one of the most completion solution of this problem including API design, database design, storage and bandwidth requirement, and much more.


        7. How to design Twitter or X app? (solution)

        This is another interesting problem which is often asked in System design interview. You need to design a Twitter or X clone.

        here are the functional requirement for this problem:

        • User can tweet (send) up to 140 character message.
        • User can follow other users.
        • User can like other users' tweets.
        • User's home feed will show tweets from the users they are following.
        • The home feed will show top K popular tweets, based on the number of likes they receive, and the number of followers the author has.

        First try to solve this problem yourself but if you get stuck see the editorial solution of this problem on Codemia.io, one of the best place to practice system design problems.

        Here is the link to solution - Design Twitter Solution
        design Twitter clone


        8. How to design TicketMaster app? (solution)

        The Ticketmaster problem get popular because of Taylor swift ERAS tour concert booking.

        When Taylor swift's this billion dollar tour got popular, reportedly it broke the ticket master platform as millions of Taylor fan's access the site to get their tickets.

        That become history and the problem got popular, but its also a good case study on how to design scalable system which can handle sudden burst of traffic which is hundred or thousand times more than regular traffic.

        Here are functional requirements for this problem:
        User is able to:

        • Search for a theater by city or ZIP code.
        • After selecting a theater, search for movies shown the the theater.
          • After selecting a movie, select which show (e.g. show starting at 1PM, 3PM, 5PM, ...)
          • After selecting a show, user is presented a list of available seats.
          • User can select the seats and finalize the booking.

        Apart from functional, you must pay attention to non-functional requirements like:
        We focus on the following aspects, as they are the most important:

        • Consistency - once a booking is made, it has to be respected. No double bookings.
          • Concurrency - multiple users are interacting with the service to view seats and book seats. Make sure system handles concurrent accesses and provide consistent bookings.
          • Scalability
          • Fault Tolerance Like previous problems, you can first try to solve this on your own but if you get stuck, you can see the detailed solution from Codemia.io where this is a free System design problem and complete, editorial solution is available for free.

        Here is the detailed solution - Design TicketMaster)

        Ticket mater system architecture

        These are a few questions which I always practice before interview. Don't think they are only 6, if you go in-depth it can take days to solve these questions and each one of them will teach you many essential system design concepts and challenges you face.

        All the best with your interviews and don't forget to share what is your favorite System design question.

        By the way, if you are preparing for System design interviews and want to learn System Design in depth then you can also checkout sites like ByteByteGoDesignGuruExponentEducative Codemia.ioBugfree.ai, and Udemy, which have many great System design courses for interviews.

        And here is a nice system design cheat sheet from Exponent to quickly revise essential system design concepts.

        system design cheat sheet

        Other System Design Articles you may like

        Thanks and all the best for your System design interviews.